33 results about "Airport security" patented technology

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 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 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.

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 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 present application relates to the technical field of data processing, and more particularly to an airport security data intelligent analysis method and system. The method comprises the following steps: obtaining airport multi-source security data; performing preliminary analysis on the security data according to the airport multi-source security data to obtain security characteristic sequence data; performing behavior mutation feature correlation according to the security characteristic sequence data to obtain security mutation feature correlation data, and performing cross-modal feature correlation according to the security characteristic sequence data to obtain security cross-modal feature correlation data; performing mutation behavior threat level evaluation according to the security mutation feature correlation data to obtain first security danger data, and performing cross-modal threat level evaluation according to the security cross-modal feature correlation data to obtain second security danger data; and performing security decision auxiliary work according to the first security danger data and the second security danger data. The present application greatly improves the intelligent level and efficiency of airport security through quantitative threat and intelligent decision support.

This invention relates to a video analysis-based method for identifying proper reversing behavior of vehicles on the apron. The method utilizes an edge computing module and a comprehensive processing module for identification. The edge computing module acquires real-time video stream data from the flight area cameras, identifies vehicle and personnel targets, structures the relevant information, and pushes it to the comprehensive processing module. The comprehensive processing module organizes the structured data, performs a comprehensive judgment, generates a violation event, and sends it to the user for review. The advantages of this invention are: after training with real airport data, it achieves high accuracy in identifying apron vehicles and personnel. This invention can identify vehicle reversing behavior and whether someone is directing it, significantly improving the depth and breadth of airport security supervision, significantly increasing the work efficiency of supervisors, and enhancing the overall airport security management level.

Flight guidance methods, systems, and aircraft systems providing assist-to-land and emergency land (EL) functions. The method includes generating a visual indication of the availability and status of an assist-to-land function and an EL function when the current altitude of the aircraft exceeds an altitude threshold. When in assist-to-land, visual and audible flight guidance can be generated to guide the pilot to a safe landing at a selected runway or at a best runway for the conditions. Functions can be activated by user manipulations of interface objects and / or by software determinations. Software determinations to enter the EL function can automatically control the flying of the aircraft along an approach profile to a safe landing at a nearest suitable airport. EL determinations can be made based on pilot incapacitation.

The invention discloses an intelligent directional dispersion system for security and protection, and relates to the technical field of dispersion systems, a threat grade division module collects real-time data, identifies microscopic behavior characteristics of bird flock in an area, relative distance gradient of airport facilities and macroscopic environment parameters, reads a dispersion strategy curve, and obtains a threat grade classification module based on cross-parameter correlation analysis; the method comprises the following steps: evaluating the potential threat level of a current bird flock to airport operation in real time, analyzing the inhibition effect of the existing environmental condition on dispersing equipment, converting the threat level into a target preset working condition parameter disturbance control instruction sequence by a dispersing instruction generation module according to the threat level, and synchronously sending the target preset working condition parameter disturbance control instruction sequence to corresponding equipment, the trend system is high in intelligence and automation degree, the labor cost and the risk of human errors are reduced, and the overall performance and level of security management of the whole airport are improved.

The invention relates to a method for achieving parking apron foreign matter detection based on machine vision, and the method comprises the following steps: carrying out image collection and preprocessing, and continuously collecting real-time video streams of a wheel periphery and a peripheral parking apron region; decomposing the image collected below the gallery bridge into an illumination component and a reflection component; an improved semantic segmentation algorithm is adopted to carry out pixel-level accurate identification on the gallery bridge supporting wheel, and a high-precision segmentation mask is generated; and introducing a strategy of unsupervised pre-training and small-amount abnormal supervision fine tuning to execute connected domain analysis on pixel regions with significant differences in the residual image, and screening and marking potential abnormal regions. By adopting the method and the device for realizing parking apron foreign matter detection based on machine vision, the processor and the computer readable storage medium thereof, an unsupervised learning strategy is utilized, the whole process from image preprocessing to anomaly recognition is particularly optimized, the dependence on manual patrol is reduced, and the detection efficiency is improved. And the automation level and the response efficiency of airport safety management are improved.

The invention belongs to the field of flight safety, and discloses an airport safety data processing method and system, and the method comprises the steps: building an airport safety data neural network processing model through employing safety event data, airport state data and flight route dynamic data collected at a specific monitoring position of an airport, and a corresponding abnormal behavior recognition coping scheme; the model carries out feature processing on collected second security event data, to-be-detected vehicle body state data and flight route real-time dynamic data to obtain emergency features which can be used for being input into the model, and the neural network model processes the emergency features to obtain an anomaly recognition real-time coping scheme. According to the neural network model recognition method, the airport security events are dynamically recognized, the accuracy and practicability of dynamic recognition of the airport security events are improved through superposition of a secondary model classification algorithm, and the neural network model recognition method can process images, airframe data and flight dynamics at the same time so as to reduce the occurrence of the airport security events and timely deal with and reduce the loss.

The invention relates to the technical field of airport security check, in particular to a system and method for binding security check channel passengers and hand-held luggage. Comprising a passenger identification device, a video acquisition device, video analysis equipment and a security inspection machine interface control system, according to the method, an existing security check channel and an existing security check basket returning system in an airport do not need to be transformed, passenger identification is completed after verification of passengers and before the passengers are queued to prepare for arrangement of luggage, the whole person and bag binding process is non-inductive, and meanwhile person and bag binding of the passengers and hand-held luggage (whether the luggage is placed in a storage basket or not) of the passengers is compatible; the method has the advantages that the business process is kept consistent, the engineering implementation difficulty is low, the implementation cost of the passenger and packet binding function is low, the over-detection efficiency is kept, and the passenger service quality is maintained. Besides, through videos of algorithm analysis and marking, the whole process of passenger and luggage / storage basket over-inspection is visually displayed by adopting a passenger identification number and a luggage identification number, and a retrieval label of the information is attached, so that the efficiency of reverse inspection and tracing of the passenger and the handheld luggage is greatly improved.

The invention belongs to the technical field of airport hierarchical security check, and discloses an airport hierarchical security check method and system based on a block chain and federal learning. The method comprises the following steps: initiating a cross-chain request; the method comprises the steps of generating a passenger encryption feature, generating a zk-SNARK proof, generating a passenger encryption behavior abstract, and pushing flight state information in real time through an airport ACDM system; based on the generated and pushed information, a passenger risk level is obtained by adjusting the weight of federal learning in a federal learning layer; and dynamically adjusting the security check channel according to the real-time navigation security information. Federal learning is introduced, and a risk assessment model is trained in combination with multi-party data on the premise of protecting privacy. And designing a dynamic weight mechanism, and adjusting the priority of the risk factors according to different scenes. Different from airport security check of the same type, the invention provides different application scenes, the travel efficiency of passengers is improved, and quick security check can be realized.

The invention discloses an airport security check channel scheduling method and device, a program product and a storage medium, and relates to the technical field of airport management. The method comprises the steps of obtaining passenger flow density data in real time; calculating a passenger flow rate according to the passenger flow density data; calculating the overall potential time income of all the inspection areas according to each passenger flow rate; determining an operation situation according to the current time and a preset time-situation mapping relation, and calculating a time income threshold value and a duration threshold value under the operation situation according to the operation situation and each passenger flow rate; judging whether the target resource scheduling scheme meets a preset condition or not according to the potential time income, a time income threshold and a duration threshold; if the target resource scheduling scheme meets the preset condition, scheduling is executed according to the target resource scheduling scheme; and if the target resource scheduling scheme does not meet the preset condition, keeping the current resource scheduling scheme unchanged. By implementing the technical scheme provided by the invention, the operation efficiency of the security check system can be improved.

Automatic determination of weather data and conditions relevant for safe flight operations at an airfield and automatic transmission of the information obtained to one or more aircraft, characterized by a weather station and optionally additional cameras automatically and continuously determining at least the wind direction and wind speed, optionally additionally the air temperature, dew point, visibility and precipitation at an airfield, as well as obstacles on the runway, and forwarding the measured values ​​and the captured images to a computer, which evaluates and processes the data, then transmitting it to aircraft via radio in a time-controlled manner using a transmitter device, where it is filtered according to the set radio frequency of the voice radio.and only the information relevant to the flying site is then made available to the pilot using a receiver and a display device, and optionally the data is also transmitted from the computer to a website on the internet.

The utility model discloses an airport runway safety identification device, which belongs to the technical field of airport safety identification and comprises a limiting vertical rod, a display mechanism is arranged at the top of the limiting vertical rod, a supporting mechanism is arranged at the bottom of the limiting vertical rod, and the supporting mechanism comprises a supporting bottom plate. A detachable supporting plate for supporting the limiting vertical rod is arranged above the supporting bottom plate, the detachable supporting plate is fixedly connected with the limiting vertical rod, a limiting supporting pipe for limiting the detachable supporting plate is further arranged above the supporting bottom plate, and the limiting supporting pipe is in sliding connection with the detachable supporting plate; through mutual cooperation of multiple structures, a user can quickly replace the identification cloth without any tool, the reliability of the device is improved, the device is more convenient to maintain, secondly, the user can quickly replace the stand column without any tool, and the cost is reduced. Therefore, the user can maintain and overhaul the device conveniently.

The application 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 space-time feature modeling module, a behavior trajectory graph building module, an abnormal area correlation analysis module, a risk level semantic judgment module and a situation structure visualization module. The system analyzes the multi-scale space-time features of the airport monitoring video stream, establishes a multi-dimensional behavior trajectory graph, analyzes the correlation of abnormal behavior areas, judges the risk level semantics, and finally generates an airport global risk situation heat distribution map. The system realizes the whole-process processing from video data collection to risk situation visualization, can accurately identify abnormal behavior areas, and clearly defines the risk level and category, thereby providing comprehensive and intuitive situation information for airport safety management and improving the intelligent level of airport safety management.

The invention discloses a trusted data space data flow control method and system based on a smart contract, and relates to the technical field of data processing, and the method comprises the steps: obtaining a first threshold compensation coefficient and a second threshold compensation coefficient of a current fault event; calculating a first weight coefficient and a second weight coefficient to obtain a comprehensive threshold compensation coefficient; performing optimization adjustment on a preset basic similarity threshold value according to the comprehensive threshold value compensation coefficient to generate an adaptive similarity threshold value; and calculating the real-time similarity between the feature vectors of the target fault event, judging whether the real-time similarity reaches an adaptive similarity threshold, and releasing the complete feature vector data flow of the target fault event to an equipment manufacturer. The technical problem that data security and efficient collaboration are difficult to consider at the same time due to the fact that existing airport security inspection equipment fault data access control is not fine, an authorization mechanism lacks dynamic adaptability and a data circulation process lacks credible auditing is solved.

The invention belongs to the field of airport security and protection, and relates to an airport boundary alarm active triggering device and method, and the device comprises a boundary alarm triggering module, a satellite receiver, a laser radar, a PTZ camera, a sound pickup, and a data processing module. The enclosure alarm triggering module is used for making vibration after making contact with an enclosure and simulating knocking of the enclosure so as to trigger the enclosure to give an alarm. The satellite receiver is used for acquiring the current position of the device; the laser radar is used for acquiring an environment map around the device; the pan-tilt camera is used for acquiring an enclosure image; the sound pickup is used for acquiring a sound signal; the data processing module is used for processing the current position, the environment map and the surrounding image and completing knocking on all preset knocking positions; the reliability of an alarm system is actively verified on the premise of ensuring the safety of a surrounding net structure, and the labor cost is saved.

The utility model discloses an infrared temperature measuring instrument with multi -way conversion detection head, including detection head and support seat, the detection head front is equipped with optical lens, is equipped with infrared detector in the detection head, the photosensitive surface of infrared detector receives the infrared radiation of optical lens convergence, infrared detector connection wire, the detection head rear end is equipped with the joint axle, the joint axle is connected adjusting assembly, and adjusting assembly is located support seat upper end, is equipped with signal processor in the support seat, and wire passes through detection head and support seat and is connected with signal processor electric connection. The utility model can make single -unit equipment possess space pose self -adaptation ability, and operating personnel need not change station or attitude to complete the continuous capture of multi -angle target in complex space, and the detection blind area and efficiency bottleneck problem caused by artificial movement lag are solved thoroughly, and full -coverage type temperature measuring solution scheme is provided for the high -frequency scene such as airport security, station gate machine.

The invention relates to the technical field of airport security check, in particular to a security check method and device based on machine learning and computer equipment. According to the invention, the X-ray image of the luggage detected by the X-ray machine and the terahertz image of the luggage detected by the terahertz scanner are obtained. And inputting the X-ray image into N identification units in the security check identifier for identification to obtain N identification unit results. Voting results of the N identification units to obtain an identification result, and if the identification result is a dangerous article, outputting the identification result as a first identification result; and if the identification result is a suspicious article, outputting a second identification result. Generating a first-level early warning according to the first identification result; and generating a second-level early warning according to the second identification result. And the security check personnel processes the luggage corresponding to the X-ray image according to the first-level early warning and the second-level early warning. According to the invention, the identification accuracy of security check by using machine learning is improved, and the working efficiency of security check personnel is improved by using two-stage early warning.

This invention belongs to the field of image analysis and disaster prediction technology, and discloses an airport slope disaster prediction system and method based on multi-sensor data fusion. The system includes a heterogeneous feature fusion module, a dynamic correlation pattern recognition module, a coupled risk prediction module, and a closed-loop feedback optimization module. Through deep coupling between modules and a closed-loop feedback mechanism, it achieves accurate prediction of airport slope disasters. The system integrates multi-source data such as optical remote sensing, synthetic aperture radar, surface displacement, and groundwater level. It uses graph neural networks to identify disaster precursor patterns, performs risk prediction based on physical constraints of neural ordinary differential equations, and continuously optimizes the feature fusion strategy through closed-loop feedback. Experiments show that the system's prediction accuracy reaches over 90%, and it can identify disaster precursors 7 to 15 days in advance, providing intelligent early warning protection for airport safety operations.

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

The embodiment of the invention discloses an airport security inspection method and device based on real-time track management and a medium, belongs to the technical field of inspection, and solves the problem that a positioning function is interrupted and a supervision blind area of security inspection is increased after an inspection APP is switched to a background or a screen of the device is turned off. Comprising the steps of performing keep-alive processing on a process of an airport security inspection APP in a background and a screen-off state through a first preset plug-in corresponding to a mobile terminal; and based on the first preset plug-in, optimizing and updating a battery optimization white list corresponding to the mobile terminal, so as to add the airport security inspection APP to the battery optimization white list, acquiring real-time position information of the airport inspection personnel through a second preset plug-in corresponding to the mobile terminal, and reporting the real-time position information; and based on a preset map engine and the real-time position information, drawing a motion track corresponding to the airport inspection personnel.

Flight guidance methods, systems, and aircraft systems providing assist-to-land and emergency land (EL) functions. The method includes generating a visual indication of the availability and status of an assist-to-land function and an EL function when the current altitude of the aircraft exceeds an altitude threshold. When in assist-to-land, visual and audible flight guidance can be generated to guide the pilot to a safe landing at a selected runway or at a best runway for the conditions. Functions can be activated by user manipulations of interface objects and / or by software determinations. Software determinations to enter the EL function can automatically control the flying of the aircraft along an approach profile to a safe landing at a nearest suitable airport. EL determinations can be made based on pilot incapacitation.