67 results about "Airport security" patented technology

The invention relates to the technical field of airport safety monitoring, and discloses an airport video data real-time analysis system. The system comprises a video stream spatial-temporal feature modeling module, a behavior trajectory map construction module, an abnormal region association analysis module, a risk level semantic judgment module and a situation structure visualization module. According to the method, multi-scale spatial-temporal feature analysis is carried out on an airport monitoring video stream, a multi-dimensional behavior trajectory map is established, abnormal behavior region association is analyzed, risk level semantics are judged, and finally an airport global risk situation thermodynamic distribution map is generated. According to the system, the whole process processing from video data acquisition to risk situation visualization is realized, the abnormal behavior area can be accurately identified, the risk level and category are clear, comprehensive and visual situation information is provided for airport safety management, and the intelligent level of airport safety management is improved.

The invention discloses a fixed dual-runway FOD detection method based on multi-source circumferential scanning, and belongs to the technical field of data fusion detection, and the method specifically comprises the steps: synchronously obtaining dual-runway multi-polarization echo data through a fixed circumferential scanning rada; performing time-varying clutter suppression by combining an adaptive clutter cancellation method matched with a dynamic background template and a runway material feature library, and generating a time-frequency domain three-dimensional feature matrix through time-frequency analysis; synchronously collecting and preprocessing image data, and marking a target area through a constant false alarm rate algorithm and image detection; a multi-source data geographic coordinate mapping model is established, data registration and cross validation are completed under a runway physical coordinate system, and real-time tracking of a real FOD target is realized based on radar and image fusion data through multi-dimensional confirmation of radar polarization / micro-motion features and image visual features; according to the method, the FOD detection accuracy and the position identification precision are improved through multi-source data fusion, the false alarm rate is effectively reduced, and a guarantee is provided for safe operation of an airport.

The invention relates to the technical field of airport safety monitoring, in particular to an airport runway intrusion identification method based on an ESNB algorithm, and the method comprises the steps: constructing an airport runway intrusion data set; the method comprises the following steps: constructing an improved Inception U-Net network, and obtaining a teacher network based on the improved Inception U-Net network; based on the teacher network, obtaining an optimal student network through a multi-objective evolutionary algorithm; based on the teacher network and the airport runway intrusion data set, performing knowledge distillation on the optimal student network to obtain an ESNB network; according to the scheme, the ESNB network is deployed in an airport and is used for airport runway intrusion recognition, and the problems that existing airport runway intrusion recognition is low in efficiency and high in computing power requirement can be effectively solved.

The invention discloses an airport terminal security check passenger number hourly prediction method comprising the following steps: 1) preprocessing security check passenger flow characteristic data and terminal historical security check passenger data, and merging the preprocessed security check passenger flow characteristic data and terminal historical security check passenger data into a passenger security check number prediction data set; 2) constructing an NBMT-OneNet-based hourly security check passenger number prediction model; 3) training the hourly security check passenger number prediction model by using the passenger security check number prediction data set; and 4) obtaining security check passenger data and security check passenger flow characteristic data of the terminal to be predicted in the past T time period, and inputting the data into the hourly security check passenger quantity prediction model to obtain security check passenger data in the future T'time period. According to the characteristics of hourly airport security check data, the N-BEATS model and the MTGNN model are used for capturing the complex correlation between the time sequence trend and the variable, and the accuracy of the prediction result is effectively improved.

The invention belongs to the technical field of airport security and protection, and relates to an airport boundary intrusion alarm system based on millimeter-wave radar and video analysis, and the system comprises a data collection module which is used for obtaining target point cloud data and video data; the preprocessing and feature extraction module is used for preprocessing video frames of the target point cloud data and the video data and extracting radar features and image features; the multi-modal feature fusion module is used for realizing fusion of the radar features and the image features through an attention mechanism by using a Transform network so as to obtain fusion features; the intrusion target detection and recognition module is used for recognizing and positioning an intrusion target and classifying and judging intrusion behaviors; and the alarm and linkage module is used for giving an alarm and recording related data of the intrusion behavior. According to the invention, the intrusion behavior can be accurately detected in real time, the false alarm and missing alarm conditions can be reduced, the automation and intelligence level of airport boundary safety management is improved, and a solid guarantee is provided for the safe operation of an airport.

The invention relates to the technical field of aerial target detection, in particular to an aerial target detection method based on image recognition. Comprising the steps of image acquisition and preprocessing, target detection, target classification, target tracking, data storage, alarm and feedback and the like. According to the invention, technologies of deep learning, multispectral imaging and the like are combined, the defects of a traditional detection technology are effectively overcome, and the detection precision of low-altitude, low-speed and small targets is improved; the requirement of real-time monitoring is met while the detection precision is ensured; effective detection can be carried out at night and in a complex environment, and the adaptability of the system under different illumination conditions is improved; a target tracking algorithm is optimized, continuous and stable tracking of multiple targets can be realized, and target motion trails can be accurately output; the system integrates detection, identification, storage and alarm, and is suitable for various application scenes such as airport security, important facility protection, city management and the like.

The invention discloses an airport aircraft variable anti-collision protection area construction early warning method and system and electronic equipment. The method comprises the steps that S1, a multi-level anti-collision protection area basic standard model of an aircraft is constructed in an airport map model; s2, collecting motion sequence data of the aircraft in a time period t1 before the current moment, and inputting the motion sequence data into the LSTM data prediction model to predict motion sequence data of the aircraft in a time period t2 after the current moment; s3, extracting motion sequence data of the time period t1 to adjust the sizes of the emergency collision avoidance area, the early warning monitoring area and the adjacent risk area; collecting the vehicle speed in the vehicle motion sequence data and the speed and course data in the motion sequence data in the time period t2 to calculate the relative distance and the relative speed of the vehicle and the aircraft; and S4, the anti-collision early warning system judges and predicts whether falling into an adjacent risk area, an early warning monitoring area and an emergency collision avoidance area. According to the method, prospective anti-collision technical analysis is realized, and the airport safety operation margin is improved.

The invention discloses an acousto-optic directional denial strategy system and method for airport safety, and relates to the technical field of bird repellency, an acousto-optic collaborative directional denial system is formed, sensors of different types are installed in the system, bird scales are classified, different acousto-optic frequency ranges are set for different bird scales, and therefore the bird repellency is improved. Marking danger levels, and constructing a four-dimensional expelling strategy library; giving different weights for different state data, and fusing different bird state data according to the weights to obtain a bird stress resistance index; the bird stress resistance index is judged through the repelling threshold value, and different repelling strategies are selected; setting an unpredictable time sequence modulation mechanism in a selected expelling strategy frequency range, and dynamically adjusting an acousto-optic emission time sequence and a sound wave frequency; counting the bird repelling failure rate, measuring the bird escape time during each repelling, calculating the resistance inhibition coefficient, judging the resistance inhibition coefficient, and updating the four-dimensional repelling strategy library.

The invention discloses a method for monitoring tail gas emission of an aircraft refueling vehicle, and solves the problem that PM quantitative data acquisition is inaccurate in a complex environment of an airport. The method comprises the following steps: stably sampling and removing aviation kerosene steam through a sampling probe integrating sensing and flow guide adjustment; synchronously detecting and deducting background gas interference; performing secondary dehumidification and constant-temperature pretreatment on the tail gas; the double detection units are linked to collect multi-dimensional data, and a nonlinear interference correction model is constructed through fusion; and adopting an exclusive calibration mode and marking invalid data. The method further comprises the design of wind speed adaptation, condensation backflow prevention, working condition and area label optimization, double-link encryption transmission, safe installation, optical signal compensation, graded maintenance and the like. The method can resist multiple environmental interferences, PM detection errors are controllable, data updating is efficient, and airport safety operation and compliance monitoring requirements are met.

The invention discloses an airport intelligent laser bird repelling system and method based on multi-sensor fusion, and relates to the technical field of airport safety protection, and the system comprises a flying bird coarse positioning module, a flying bird fine tracking module, a flying bird laser repelling module and a remote monitoring module. The flying bird coarse positioning module adopts a phased array millimeter wave radar to carry out wide area scanning on a designated area of an airport, and outputs coarse positioning coordinates of a flying bird. Then, the bird fine tracking module uses a laser scanning radar and a medium-wave infrared camera to cooperatively carry out high-precision tracking scanning on the bird in the target area, and outputs the three-dimensional coordinate of the bird in real time. The remote monitoring module displays an airport area map and a bird infrared image on an indoor console in real time, and provides a manual control interface for an operator at the same time. And finally, the bird laser repelling module controls a high-energy laser transmitter of the bird repelling machine to output a high-energy pulse laser beam to a bird body according to the three-dimensional coordinates of the bird, and the bird in the target area is accurately repelled.

The invention provides a civil aviation airport obstacle real-time detection method and system based on a visual scheme, and belongs to the technical field of civil aviation airport safety monitoring, and the method comprises the steps: obtaining multi-source sensing data in real time, including distance data of a millimeter wave radar, and image contrast data and humidity data of a visible light camera unit; a radar weight coefficient Wr and an image weight coefficient Wi are calculated based on the humidity data, Wr is in positive correlation with the humidity value, and Wi is in negative correlation with the humidity value; fusing the distance data, the image contrast data and the weight coefficient to calculate a real-time visibility value, and limiting the visibility value within a preset effective range; switching a neural network quantization mode according to the visibility value; and when the visibility value is greater than a first preset distance threshold value, activating a low-precision quantization mode and executing channel pruning. The problems of poor meteorological adaptability and unbalanced resource precision are solved.

The invention provides an airport security check passenger flow volume prediction method and system, electronic equipment and a storage medium, and is applied to the technical field of airport security check. Target historical airport security check queuing data before target time is acquired; fusing the queue information of each target historical queue to obtain fused queue information of a target fused historical queue; performing empirical mode decomposition processing on fusion queue information of the target fusion historical queue to obtain a plurality of target data sequences and target residual components; determining a prediction model matched with the target data sequence, and performing airport security check passenger flow prediction according to the target data sequence or the target data sequence and the target residual component through the prediction model matched with the target data sequence to obtain a target prediction result; and determining the airport security check passenger flow volume corresponding to the target time according to each target prediction result, thereby being capable of adapting to unstable data, meeting actual requirements, and improving the accuracy of predicting the airport security check passenger flow volume at the same time.

The utility model discloses an ultra-narrow frame display for airport security check, which comprises a narrow frame display and an aluminum alloy shell, the narrow frame display is packaged in the aluminum alloy shell, an all-aluminum metal back machine is integrally welded on the back of the aluminum alloy shell, and an industrial mainboard is fixed in the all-aluminum metal back machine. According to the ultra-narrow frame display for airport security check, the installation side wall and the all-aluminum metal back machine are arranged, the ultra-narrow frame display can be used in cooperation with airport security check equipment, the display carries the industrial mainboard and is fixed to the aluminum alloy shell through the installation side wall, the industrial mainboard is fixed to the all-aluminum metal back machine, and the stability and the anti-interference capacity of the mainboard are greatly improved; and the risk of vibration and falling and the equipment maintenance cost caused by damage are reduced, and the problems of poor reliability and stability of the display in long-time operation are solved for airport security check which is frequently used and has extremely high equipment security requirements.

The invention belongs to the technical field of civil aviation safety management, and discloses a civil aviation hidden danger information safety monitoring method and system. The method comprises the following steps: acquiring a created security check list library through a PC management end, and acquiring and creating check lists and check list editing and maintaining operation instructions in a corresponding department / department space; the PC management end executes sending of an inspection list and management configuration, generates an inspection task according to a sending period of the management configuration, and pushes the inspection task to an inspection module of the APP inspection end; and obtaining a safety check task editing operation instruction in the check module, carrying out safety check on the existing hidden danger information, and visually showing the safety check condition. According to the invention, airport safety inspection work requirements can be met, a method for checking, processing and supervising inspected hidden dangers is provided, various hidden dangers can be recorded and concluded, and hidden danger problems which occur repeatedly can be sorted and publicized.

The invention discloses a fast opening and closing door which can be widely applied to multiple different occasions such as airport security check, industrial factory buildings, logistics channels and cold chain workshops and comprises a door frame assembly. A curtain piece driving assembly is arranged on the door frame assembly; the curtain piece driving assembly is connected with the curtain piece transmission assembly and used for driving the curtain piece transmission assembly to move in the vertical direction. A door body is arranged on the curtain piece transmission assembly; the door body comprises a plurality of curtain sheets; the curtain piece transmission assembly comprises two parallel synchronous belts, and the multiple curtain pieces are arranged on the two synchronous belts. A driving shaft in the curtain piece driving assembly is used for synchronously driving the two synchronous belts to rotate, and vertical opening and closing of the door body are achieved. The fast opening and closing door is reasonable in structure, fast in opening and closing, high in stability, high in reliability, capable of effectively improving the operation efficiency of goods or personnel channels, especially suitable for high-frequency and crowded scenes, and beneficial to achieving fast, safe and reliable personnel or material passing.

1. The name of the design product: security instrument (terahertz). 2. The use of the design product: for airport security check, access control of high-risk public activity places, which can automatically detect potential dangerous items carried on the body or in clothes. 3. The design points of the design product: the combination of color, shape and pattern of the design product. 4. The picture or photo that best shows the design points: perspective view 1. 5. The design for which protection is sought includes color. 6. The bottom view of the design product is not easy to see or cannot be seen when in use, and the bottom view is omitted.

The invention relates to a computer-implemented system and method for managing human and vehicle traffic in an airport, and in particular to using a combined system for passengers and airport assets, to track, monitor, store, and report on dwell times of passengers at airport security checkpoints and locations, and to track, monitor, store, and report on the location of airport vehicles and mobile assets using cameras in combination with GPS transponders.

A robotic eagle and bird-like robot empowered by generative artificial intelligence (Gen-AI) is disclosed, capable of autonomously performing essential tasks such as airport safety and forest fire monitoring. The robotic eagle's lifelike design includes a head, multiple eyes, wings, legs, claws, and a tail, all meticulously crafted to mimic the appearance and flight capabilities of a real bird. The trained AI model functions as the brain, processing detailed environmental data captured by video cameras, audio microphones, and flight sensors to provide guidance commands that control the flying motions. Ensuring continuous operation, the robotic eagle features a wireless battery charging system, allowing it to recharge autonomously in remote locations using solar and wind energy. This technology, made possible by Gen-AI, heralds a new era in environmental monitoring and safety, delivering unprecedented performance and reliability.

The invention belongs to the technical field of airport security check anomaly detection, and discloses an airport security check behavior pattern analysis and abnormal state detection method, which comprises the following steps of: adding meaning labels to data such as human faces, certificates, behaviors and equipment states, and establishing cross-modal association logic; scattered data such as certificate anti-counterfeiting characteristics, passenger micro-expressions and behavior time sequences can be serially connected; for example, when a holographic pattern of a certificate is slightly blurred, if the blinking frequency of a passenger is suddenly increased and the behavior of showing the certificate is deliberately delayed, the system can accurately identify the hidden risk that the single data does not reach a threshold value, avoids the situation that the false certificate is missed to be judged along with the abnormal behavior like a traditional scheme, enables the security check to capture the risk more comprehensively, and improves the security check efficiency. Potential safety hazards are reduced practically; 24 types of composite scenes including passenger flow peak, old passengers, equipment failure and disabled passengers are divided, and the normal behavior threshold value can be dynamically adjusted according to the real-time scene.

This invention discloses a mobile bird deterrent device for airport security, belonging to the field of airport bird control technology. It includes a mobile trolley equipped with a laser; a charging compartment for providing power to the trolley; and a parking compartment for parking the trolley. This invention utilizes lasers for bird deterrence with almost no delay and precise targeting; the charging compartment allows the mobile trolley to automatically charge and operate continuously; the track is laid around the airport perimeter, providing a fixed movement route for easy control, positioning, and scheduling; and a bird deterrent working group is formed for efficient and reliable bird control.

The invention relates to the technical field of civil aviation informatization, in particular to an airport business event warning and early warning method and system based on a decoupling architecture, and the method comprises the steps: obtaining a static geographic information element data list, screening registration trigger mode recognizers matched with data types, and building a mapping relation; performing updating operation on historical data in the core cache region according to the target format data, generating a prediction data sequence, storing the prediction data sequence in the core cache region, calculating multi-dimensional quality evaluation and comprehensive quality based on a historical data subset, and finally constructing a mapping relationship between data elements and quality, according to the method, the historical time series data are trained, the future trend is predicted, the prediction data are generated, the prediction data are input into the recognizers, early warning is triggered when the rules are met, potential risks are found in advance, and the early warning effect is improved. And the foresight of airport safety management is improved.

The utility model discloses a platform for measuring the weight of airport passengers and luggage. The platform comprises a plurality of measuring modules. The measuring module comprises a table top and a plurality of elastic measuring systems arranged on the bottom side of the table top; the elasticity measuring system comprises a fixing seat, a sensor, a connecting rod, an adjusting rod and a supporting seat. The top end of the fixing base is connected with the table top, the bottom end of the fixing base is connected with the sensor, the bottom end of the sensor is connected with one end of the connecting rod, the other end of the connecting rod is connected with the top end of the adjusting rod, and the bottom end of the adjusting rod is fixedly connected with the supporting base. The connecting rod is transversely arranged, and the sensor is used for achieving stress measurement. Through the structure arrangement of the measuring platform, the awkward situation that the weight data of passengers and luggage cannot be obtained during airport security check is solved.

The invention relates to a computer-implemented system and method for managing human and vehicle traffic in an airport, and in particular to using a combined system for passengers and airport assets, to track, monitor, store, and report on dwell times of passengers at airport security checkpoints and locations, and to track, monitor, store, and report on the location of airport vehicles and mobile assets using cameras in combination with GPS transponders.

The invention relates to the technical field of safety operation and maintenance capability assessment, in particular to an island airport safety operation and maintenance capability assessment method based on an extension model, which comprises the following steps: establishing an island airport safety operation and maintenance capability assessment index system; screening key indexes, marking key index labels, and distributing homologous weight coefficients for homologous indexes; screening the evaluation objects by using the key indexes, and reserving the primarily screened evaluation objects; establishing a standard conformity function of the underlying indexes, and calculating the standard conformity of each underlying index; carrying out dimensionless standardization processing to obtain the standard conformity of each underlying index; and calculating a comprehensive goodness value of the preliminary screening evaluation object, and evaluating the safety operation and maintenance capability of the preliminary screening evaluation object according to the comprehensive goodness value. According to the invention, systematized, standardized and objective evaluation of the safety operation and maintenance capability of the island airport can be realized.

The invention belongs to the field of intelligent security and edge computing, and relates to an airport pedestrian fence crossing and parabolic object detection and recognition method and system based on edge computing, and the system collects a video stream in real time through a data preprocessing module, and locally executes background modeling, moving target detection and multi-target tracking in an edge computer; the space-time behavior analysis module extracts a human body skeleton point sequence, performs modeling analysis by using a space-time diagram convolutional network, and identifies a pedestrian fence crossing behavior; the trajectory analysis and recognition module performs trajectory fitting on a high-speed small target in the video, recognizes a parabolic behavior and predicts a drop point area; the fusion decision processing module fuses the recognition results of the crossing behavior and the parabolic behavior, performs conjoint analysis and triggers an alarm; and the early warning linkage execution module pushes the alarm information to an airport security system in real time and drives perimeter defense hardware to perform linkage. According to the invention, localized real-time detection, accurate identification and rapid early warning of fence crossing and object throwing behaviors of pedestrians at the periphery of the airport can be realized.

The invention discloses a power transmission line intelligent inspection and bird repelling method and system, and relates to the technical field of bird repelling, and the method comprises the steps: S1, collecting a bird activity signal and a weather condition parameter from a foggy environment around an airport through a sensor network, and obtaining a bird gathering density and a weather influence factor; classifying the data by adopting a K-means clustering method in combination with Euclidean distance measurement and cluster center initialization, and determining a bird activity mode and a weather change trend by applying data standardization processing and iterative convergence conditions; according to the intelligent routing inspection and bird repelling method and system for the power transmission line, accurate monitoring and dynamic bird repelling are achieved through multi-technology fusion, interference of bird activities on airport safety in foggy days is effectively reduced, and the aviation operation efficiency is improved.

The utility model belongs to the technical field of airport security check equipment, and disclose a kind of civil aviation centralized security check verification three door passage gate, including main passage box, two rear box and two front box, two rear box and two front box are respectively arranged in the two sides of main passage box, the utility model process is more smooth and adopts the triple door body design of door wing glass and sliding door glass, if passenger information verification is not correct, it is convenient to walk out through the sliding door glass of side telescopic setting, passenger can be quickly guided to carry out manual verification when passenger traffic is abnormal, without reversing back in door wing glass, without queuing again to carry out verification, improve passenger traffic efficiency and travel experience, and top additionally set up anti-tailing camera, the trend detection of passenger traffic is expanded from two-dimensional plane to three-dimensional space, completely solve malicious tailing, steal and hold child and other industry problems, significantly improve passenger traffic willingness and travel experience, realize the true sense of unattended self-service convenient passage.

The invention discloses a dynamic scheduling optimization method and system for airport fire protection resources, and belongs to the technical field of airport fire protection safety, and the method comprises the steps of airport data preparation, data integration modeling, fire protection risk assessment, resource optimization scheduling and scheduling report generation. According to the method, a semantic-driven multi-mode state modeling method is adopted to carry out data integration modeling, and a uniform data structure capable of dynamically reflecting the overall operation state of an airport is constructed in combination with a spatial relationship and a business dependency relationship; a multi-modal space-time diagram neural network is adopted for fire risk assessment, comprehensive risk perception and dynamic association analysis based on multi-source information are realized, and a complex risk transfer relationship between regions is effectively captured; the multi-target perception driven reinforcement learning method is adopted to perform resource optimization scheduling, so that a resource allocation strategy is intelligently adjusted according to multiple scheduling targets in a dynamic environment, the resource utilization efficiency is improved, the scheduling cost is reduced, the fire risk is effectively controlled, and safe and stable operation of an airport is guaranteed.

The utility model discloses a rapid drug detection device based on an integrated circuit. The rapid drug detection device comprises a detection module, a control module, a display module, a micro camera module, a power supply module and a shell, the detection module comprises a dynamic noise suppression circuit, the dynamic noise suppression circuit comprises a low-pass filter, one end of a resistor R in the low-pass filter circuit is connected with an input signal, the other end of the resistor R is connected with the input end of a negative impedance converter NIC, the output end of the negative impedance converter is circuit output, and the input end of the negative impedance converter is connected with one end of a capacitor C; the other end of the capacitor is grounded. According to the technical scheme, the NIC is added into the rapid drug detection device, so that the device has the characteristics of high detection speed, high sensitivity and high portability, and is suitable for scenes such as law enforcement sites, border inspection and airport security inspection.

The invention relates to the technical field of airport safety management, in particular to a mobile airport foreign object detection device and method based on an array camera, and the device comprises an array camera module, an edge calculation module, an image detection algorithm module, a central computer module and an RTK positioning module, the edge calculation module is combined with the image detection algorithm module to process image data in real time, rapidly detect potential foreign objects and improve the detection efficiency; the RTK positioning module provides high-precision position information and provides a basis for subsequent position fusion; the central computer module fuses multi-module data; according to the technical scheme, through efficient and accurate data acquisition and processing, the detection efficiency is remarkably improved, the cost is reduced, and the phenomena of misrecognition and missing detection are effectively reduced.