139 results about "Air transport" patented technology

A payload including a housing provided with one or more toothed guides or with one or more docking mechanisms, each of which is configured to detachably toothedly interact with an unmanned aircraft apparatus being docked so as to enable the movement of said docked unmanned aircraft apparatus with respect to the housing of the payload, wherein the housing of the payload is further configured to detachably toothedly interact with yet another (other) unmanned aircraft apparatus so as to enable the action of said yet another unmanned aircraft apparatus onto said docked unmanned aircraft apparatus for withdrawal of the latter from interaction with the housing of the payload. Furthermore, embodiments of an air transport system include two or more unmanned aircraft apparatuses and one of the payload.

The invention belongs to the technical field of air transportation management, and discloses a multi-source data fused sorting method and system for airport flight coordinated launch. The method comprises the following steps: collecting a multi-source data source of a flight; performing multi-source data fusion, generating a five-dimensional dynamic situation matrix, and reflecting the comprehensive state of the flight in real time; judging whether manual priority ranking processing is carried out or not; by constructing an intelligent decision-making system for aircraft departure sorting, optimization target decision-making and intelligent sorting are carried out; the visual sorting interface displays the alternative push-out sorting schemes; obtaining a sorting result of flight coordination deduction; establishing a dynamic reentry mechanism for flights with updated resources or changed states, and reinserting the flights into the global sorting queue; and balancing the adaptation degree of the original priority and the new state of the flight through a dynamic weight distribution algorithm. The airport flight scheduling efficiency is improved, so that flight delay is reduced, the operation efficiency is improved, and the passenger satisfaction degree is enhanced.

The invention discloses an air-drop and air-delivery large unmanned aerial vehicle ultra-low-altitude flight control system and method, and belongs to the field of flight control systems, and the system comprises a flight control module, a drop control module, an environment sensing module, a gravity center balance adjustment module and a data storage and interaction module. The flight control module is used for controlling the unmanned aerial vehicle to fly at an ultra-low altitude and ensuring that the flight attitude is stable, so that the position error is less than or equal to 10m, the height error is less than or equal to 2m and the flight path deviation is less than or equal to 10m when the unmanned aerial vehicle flies at the ultra-low altitude; the delivery control module is used for supporting a single delivery mode and a rapid continuous delivery mode, the maximum delivery of 1.2 tons of goods can be achieved, at most four pieces of goods can be delivered in a single flight, the delivery control module is compatible with parachute air delivery and non-parachute air delivery, and the delivery precision of the parachute air delivery at the high altitude of 300 meters is smaller than 100 meters. According to the invention, the unmanned aerial vehicle delivery precision can be improved, the stability is high, and material waste or incapability of accurately delivering to a target area is avoided.

The invention discloses a self-adaptive regulation and control method and system for an in-cabin environment driven by vital signs of a wounded person, and relates to the technical field of crossing of medical equipment and environment control. According to the self-adaptive regulation and control method and system for the in-cabin environment driven by the vital signs of the wounded person, a four-dimensional data acquisition system composed of physiology, environment, medical intervention and space-time scenes is built; the method comprises the following steps: synchronously acquiring multi-dimensional vital signs including brain electricity, skin electricity and other nerve and stress indexes, an in-cabin dynamic environment including detailed parameters such as airflow velocity and particulate matter concentration, external medical operation covering drug dosage and equipment working parameters, and transfer scene data including altitude change and bumping intensity; the limitation that only single environment or physiological data is acquired in the prior art is solved; when a craniocerebral injury wounded person is transported in an air transport mode, the system can be combined with the altitude change rate and the electroencephalogram alpha wave power, the blood oxygen lowering risk can be pre-judged 10 minutes in advance, and the problem that misjudgment is conducted only through current data traditionally is avoided.

There was a lack of understanding of cavity warning signs during normal times, and in the event of a disaster, advance road clearance plans could not be dynamically updated to reflect the actual situation, resulting in delays and personal delays. There was no integrated operation of authority adjustment across multiple administrators, allocation of equipment and personnel, preparation for communication outages, or reflecting knowledge from training and past performance. Solution: The information acquisition department collects data from satellites, optical fiber, vehicles, etc., and the analysis department performs integrated analysis. The road clearance department registers a preliminary plan, and the road clearance implementation plan is dynamically optimized based on the analysis results. The feasibility of achieving 24 / 48 / 72-hour targets is evaluated using reinforcement learning, and consideration is given to determining the transfer of authority, spatial optimization of bases and equipment, redundant communications, heavy equipment operation and robotics collaboration, training and performance learning, and conflict assessment through intellectual property investigations. Multi-hazard risks are quantified and weighted by priority, and a redundant network is formed in conjunction with the evaluation of bases such as roadside stations. Special equipment and sea and air transport are integrated, and abandoned vehicle removal and the automatic assembly of contracted companies are controlled, and emergency restoration plans are automatically generated along with alternative route selection.

This utility model discloses a connection structure between the main frame and the stretcher in an air transport system, including: several fixing pins at the front and rear ends of the stretcher; a stretcher placement platform on the main frame; flaps on the front and rear sides of the main frame, each flap being hinged to the corresponding end of the main frame via a pivot; a guide tube inside each flap, each guide tube having an clearance hole on its wall; a push block inside each guide tube, each push block having a fixed hook connection part extending out of the corresponding guide tube and connected to a hook; a push rod connected to each push block, each push rod extending sequentially from the corresponding longitudinal beam of the main frame and having an unlocking button fixed thereafter; a first elastic element between each unlocking button and the corresponding longitudinal beam; and several flap positioning holes and several stretcher positioning holes on each flap. The advantage of this utility model is that it allows for quick installation or removal of the stretcher from the main frame.

1. Name of the product in this design: Blower (3010C). 2. Intended use of this design: for ventilation, air exchange, and air transport, etc. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This utility model discloses a PMC-3Y type enclosure panel in the field of aviation storage rack technology. It includes a PMC panel base, hinges fixedly connected to the upper ends of both sides of the PMC panel base, a side frame fixedly connected to one side of each hinge, and a front frame rotatably connected to both sides of the side frame via hinges. A column is fixedly connected to one side of the front frame. Locking devices are fixedly connected to the front and rear ends of the PMC panel base, with the column locked inside the locking devices. The two front frames are fixedly connected by a mesh door assembly, which includes horizontal straps, vertical straps, and buckles. The horizontal straps are fixedly sleeved to the two front frames, and the two ends of the vertical straps are fixedly connected to the PMC panel base and the horizontal straps, respectively. Both the horizontal and vertical straps are fixedly connected to buckles. This enclosure design secures goods in a fence-like manner, allowing for effective cargo securing during air transport. The adjustable mesh door assembly on both sides of the enclosure facilitates quick loading and unloading of goods.

This disclosure presents a method for handling passenger baggage during return travel. This process includes obtaining, using an acquisition device, the origin bag tag identifier (O-BTI) or International Air Transport Association (IATA) license plate associated with a bag tag affixed to the passenger's baggage. This O-BIT is used to create a digital BTI data record linked to the travel carrier. The method also includes printing, using a printing device, a return segment travel IATA format bag tag for the return flight linked to the origin printed bag tag. In addition, the method allows for remote check-in of the passenger for the return flight by accessing a B-type message using the digital BTI data record, the B-type message including the passenger reservation record (PNR) number.

The invention relates to the technical field of intelligent security check, and discloses a video analysis and prediction system applied to intelligent scheduling management of a security check channel, and the system comprises a data processing module which obtains flight information from a flight information system of an airport, fuses real-time passenger flow data collected by video monitoring, and constructs a multi-dimensional data set; the multi-curve analysis module is used for generating a full-load curve, an actual attendance curve, a historical prediction curve and a crew curve based on the multi-dimensional data set; and the intelligent scheduling recommendation module is used for calculating the number of security check channels required at the current time point according to the real-time number of people obtained by superposing the full load curve, the actual attendance curve, the historical prediction curve and the crew curve in combination with a preset security check speed. By means of the scheme, minute-level data processing, multi-dimensional prediction analysis and intelligent scheduling can be achieved, so that the security check efficiency and the resource utilization rate are improved, and efficient and safe operation of air transportation is guaranteed.

The invention relates to the technical field of air transportation management, in particular to a flight delay response grade evaluation method and central control equipment in an airport, and the method comprises the steps: obtaining a delay feature evaluation index value based on flight actual operation data and flight plan data in a central control system in a specified airport; according to the response level interval information to which the delay feature evaluation indexes belong and the delay feature evaluation index values, an improved matter-element model is adopted for processing, and an association degree matrix and a weight sequence of the delay feature evaluation indexes and response levels are obtained; according to the correlation degree matrix and the weight sequence, obtaining an evaluation value of flight delay; and obtaining an evaluation result of the flight delay response level according to the evaluation value and the evaluation rule of the flight delay. According to the method, factors comprehensively considered by a large-area flight delay index system in different time periods are fully considered, optimization of a future development trend on a current early warning level judgment result is considered, and the current early warning level judgment result is dynamically corrected, so that an early warning decision has perspectiveness.

The application discloses a kind of cloud end collaborative aviation work load distribution method and system, belong to aviation transport technical field;Including: collecting flight dynamics, personnel qualification, physiological state and environmental data;Adaptive threshold denoising in sliding window median, uniform timestamp, based on fuzzy time window association fusion, construct load evaluation dataset;Multi-modal load prediction model fusion time series network, graph convolution network based on historical co-protection frequency normalized edge weight and attention mechanism, modeling inter-post load conduction, predict future load;With load variance, task balance, fatigue risk and cost as target, introduce adaptive crossover mutation optimization scheduling;Using cumulative prospect theory to evaluate fatigue, multidimensional weighted calculation basic score and deviation, distinguish the prospect value mapping level of income loss domain;According to the flow of flight dynamic adjustment safety threshold, over-limit early warning intervention.

This invention discloses a method for selecting airdrop areas in high-altitude mountainous air transport. Based on data using raster images, raster pyramids, and vector hybrid data, and after dimensionless data processing, this invention pre-selects all candidate areas through GIS spatial analysis and constructs an evaluation index system that comprehensively considers the necessary specific needs for airdrop area selection in high-altitude air transport logistics. Then, the AHP decision analysis method is used to select candidate areas within the analysis scope and calculate evaluation values. Finally, K-Means clustering is used to group the candidate areas through iterative calculation, realizing a data-driven method for accurate airdrop area selection in high-altitude mountainous areas. The K-Means clustering grouping, calculated through iterative calculation, serves as the final result, providing a reasonable basis for site selection decisions. This invention offers accurate site selection results and good programming support, and can be widely applied in air transport, emergency management, and other departments to conduct airdrop area site selection data integration, information system construction, and new theoretical research.

The present application relates to a kind of multi-airport flight time slot resource allocation method, belong to air traffic control automation technical field, the present application is aimed at the characteristics of complex constraint, strong coupling of multi-airport time slot allocation problem, constructs multi-airport flight time slot optimization model, under the premise of guaranteeing all airport take-off, landing capacity constraint, airport passing time constraint and flight time constraint between take-off and landing airport, make full use of airport time slot resource, generate feasible full track multi-airport flight time slot allocation scheme, while taking into account the fairness between flights, minimize maximum flight time slot adjustment amount;The method of the present application can simultaneously process the flight time slot allocation problem of multi-airport, full season, create value for multiple key subjects of air transportation system, realize the maximization of overall social benefit.Rational time slot allocation improves the punctuality of passengers, improves travel experience;Help airport to realize collaborative resource planning and efficient operation, enhance hub competitiveness.

The application relates to the technical field of air transportation management and intelligent decision-making, and specifically provides an airport cluster integrated scheduling method based on parallel simulation, aiming to solve the problems of poor real-time performance, inability to balance multiple targets and lack of decision-making closed loop in the prior art. The core of the method is as follows: a digital twin model of a physical airport cluster is constructed and continuous time sequence evolution is carried out; preset scheduling events are monitored in real time during the time sequence evolution; once an event is triggered, a target scheduling strategy is generated based on the current state through a parallel simulation and decision-making fusion process; finally, the strategy is mapped back to the digital twin model to replace the current logic to continue the time sequence evolution. Through the parallel system architecture of virtual and real interaction, online, real-time, self-adaptive optimization and decision-making support for the operation of the airport cluster are realized, and the scheduling efficiency, fairness and system resilience are significantly improved.

1. Name of the product in this design: Shilu (MA-BS9001). 2. Application of this design: It is used in the logistics field such as railway, highway, sea and air transport to lock containers, cargo cars, tank trucks, trucks and other transported items. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. The design for which protection is sought includes color. 6. Design 1 is designated as the basic design.

1. Name of this design product: Aviation sign. 2. Purpose of this design: To be used as a label for recording cargo information during air transport. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The utility model belongs to the technical field of tobacco leaf transportation, and particularly discloses an unmanned aerial vehicle fresh tobacco leaf packaging and transporting device which comprises a plurality of sets of shear type supports connected through hinge shafts, arc-shaped frames are arranged on the upper portions of the shear type supports and jointly form a semicircular bearing cavity, and bearing plates are arranged between the adjacent shear type supports for connection. The two ends of the upper portion of the shear type support are fixedly connected with positioning blocks respectively, the positioning block on one side is connected with a fixing belt, the tail end of the fixing belt is hinged to a buckle, the positioning block on the other side is connected with an adjusting belt, and the positioning blocks on the two sides are further connected with hanging rings. Connecting rods are further arranged on the lower portions of the shear type supports to be connected with the supports on the same side, and nuts are connected to the connecting rods in a threaded mode. Intermediate links of traditional manual carrying are remarkably reduced, terrain limitation is broken through by means of an air transportation path, integrated efficient operation from field packaging to unmanned aerial vehicle transferring of fresh tobacco leaves is integrally achieved, the labor intensity of tobacco growers is reduced, and meanwhile the efficiency and reliability of transportation operation are improved.

A system and method for individualized airline passenger disembarkment integrates with Passenger Service Systems (PSS) and Airport Operational Databases (AODB) using IATA New Distribution Capability (NDC) standards for real-time data exchange. Passengers book priority disembarkment options during reservations, with availability determined via priority queues in distributed software modules interacting with cloud-based hardware to allocate limited slots efficiently. Upon detecting delays, the system identifies at-risk passengers for missed connections by computing gate-to-gate travel times using graph data structures, assigns priority disembarkment passes (physical or virtual) with verification elements such as QR codes, NFC, or RFID, and deactivates passes post-disembarkment via geo-fencing or hash-based structures. This reduces airline costs, enhances operational efficiency by minimizing latency and optimizing resources, and complies with aviation regulations across multiple jurisdictions while improving passenger satisfaction.

The utility model discloses a combined type light-emitting diode (LED) display screen aviation case which comprises an upper cover body, a lower case body and a supporting piece. The upper cover body is provided with a first upper lock; the lower box body is provided with a first lower lock; a second lower lock is arranged at the upper end of the supporting piece, and a second upper lock is arranged at the lower end; the supporting piece is detachably erected between the upper cover body and the lower box body; the first upper lock and the second lower lock are mutually locked and matched, and the first lower lock and the second upper lock are mutually locked and matched; when the supporting piece is detached and removed and the upper cover body covers the lower box body, the first upper lock and the first lower lock are locked and matched with each other. According to the combined LED display screen aviation case, a combined structure is adopted, through the unique supporting piece design, the assembling and disassembling functions of the aviation case are achieved, use and storage are facilitated, the space utilization rate is increased, the requirement for air transportation can be met, and the combined LED display screen aviation case has wide application prospects and market value.

The utility model discloses a multi-station transfer air transportation production line, and belongs to the technical field of pressure vessel manufacturing. The production line comprises a fixed track which is annularly arranged, a plurality of lifting appliances slide on the track, and the fixed track is a trackless area in a vertical projection area of a movable track; the movable track is independent of the fixed track and is vertically suspended above the fixed track; transferring the truss in the air; the empty vehicle to-be-stored position is used for stopping and feeding the lifting appliance; and the machining areas are distributed on the two sides of the fixed rail. According to the multi-station transfer air transportation production line, the annular fixed rail is connected with the vertical moving rail body, production resources of all machining areas of a trackless area in the fixed rail are dynamically distributed through the air transfer truss, air synchronous transfer of the gas storage tank in the air at multiple stations is achieved, procedure blockage is avoided, the fast and slow procedure mixed production bottleneck is broken through, and the production efficiency is improved. The overall production line efficiency is greatly improved.

1. Name of the product in this design: Aircraft (X2-J-DUCT). 2. Intended use of this design: as a vehicle for air transport or operations. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Design 1 is designated as the basic design. 6. Other situations requiring explanation: In this design, the tail of Design 1 is X-shaped, and the tail of Design 2 is Y-shaped.

The application discloses an evolution modeling and prediction method and system for extreme risk coupling of an aviation hub network, and the method comprises the following steps: acquiring static section data of an aviation transportation system; constructing a space coupling dynamics model according to the static section data, wherein each airport node in the space coupling dynamics model corresponds to an attraction weight, and the attraction weight represents the co-mobility characteristics of each airport node under an extreme load state; using a maximization minimization algorithm to inverse the attraction weight; based on the inverted attraction weight, acquiring a space core parameter group through a Markov chain Monte Carlo algorithm, and obtaining regional congestion co-mobility early warning information based on the space core parameter group. The application can accurately simulate the dynamic growth logic of a multi-center airport group, and can more quantitatively identify the cascade load pressure distribution within the space dependence under the extreme scenario of the failure of a specific core hub.

1. Name of the product in this design: Aircraft. 2. Intended use of this design: as a vehicle for air transport or operations. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The present application belongs to the field of flight control of multi-unmanned aerial vehicle tethered load air transport system, and is used for realizing online estimation of unknown parameters under the condition that the rigid body inertia matrix and air damping coefficient matrix exist uncertainties, simultaneously accurately tracking expected attitude, effectively compensating the influence of unknown parameters and better restraining external interference, and accurately controlling the position of the load. The attitude control method of the multi-unmanned aerial vehicle tethered load air transport system is based on the Lagrange modeling method, and the dynamic model of the multi-unmanned aerial vehicle tethered load air transport system is established. The control moment is designed, the adaptive updating law of the inertia matrix and the air damping coefficient matrix is designed, and the consistent boundedness of the tracking error and the estimation error is determined. The present application is mainly applied to the occasion of multi-unmanned aerial vehicle formation flight control.

A dangerous object treatment device for air transportation safety management relates to the field of air transportation management and comprises a combustion treatment mechanism and a tail gas treatment mechanism, the combustion treatment mechanism comprises a combustion box, a combustion flaming plate and a fire grate, the combustion flaming plate and the fire grate are both arranged in the combustion box, and the tail gas treatment mechanism is arranged in the combustion box. The tail gas treatment mechanism comprises a tail gas treatment box connected with the waste gas conveying pipe, a spraying chamber and a filtering chamber which are communicated with each other are arranged in the tail gas treatment box, and a filtering net is arranged in the filtering chamber. Generated waste gas is firstly conveyed to the spraying chamber through the waste gas conveying pipe to be sprayed and degraded, particulate matter in the waste gas is absorbed, wastewater enters the sewage tank to transfer sewage, and harmful gas in the waste gas is secondarily filtered and adsorbed through the filter screen in the filter chamber, so that the waste gas is fully treated.

The invention discloses a training flight path optimization method and system in combination with low-altitude training and transportation in an airport and a medium. Relates to the technical field of air transportation and flight training. Improvement is carried out on the basis of the prior art, a built training flight airspace grid model finely expresses training flight airspace information, the fine degree of airspace resource management is improved, a multi-target optimization model comprehensively considering safety, economy and green targets is built, and through reasonable setting of constraint conditions, the optimization efficiency of airspace resource management is improved. The optimization result better meets the actual flight training requirement, and the risk, oil consumption and pollutant emission of training flight are effectively reduced; based on the improved artificial bee colony algorithm, the solving efficiency and quality are improved, a better solution can be quickly found in a complex multi-objective optimization problem, and reliable algorithm support is provided for training flight trajectory optimization.

The application relates to the technical field of air transportation management, and discloses a dynamic determination method and system for flight check-in closing time, aiming to solve the problems of insufficient guarantee resource utilization and inaccurate operation risk control of the existing method. The scheme mainly comprises the following steps: obtaining the calculated wheel blocking time and operation success probability parameter of a target flight from an airport collaborative decision system; calling a passenger and baggage path time probability model; calculating an execution key time limit; determining a quantile point based on the operation success probability parameter, calculating a path quantile point time consumption through the probability model; calculating the latest check-in time of the passenger and baggage paths respectively, and taking the earlier one as the theoretical latest check-in time; and finally combining a safety buffer time to obtain the flight check-in closing time. The application effectively prolongs the check-in service window and significantly improves the ground guarantee resource utilization efficiency under the premise of ensuring the punctuality rate of the flight.

The invention provides a freight rate rule generation method and device, a medium and a product, relates to the technical field of aviation information, and is used for improving the generation efficiency of a freight rate making rule when an air transportation company generates the freight rate making rule. The method comprises the following steps: acquiring business basic information for indicating freight rate data; based on the business basic information, determining a target propagation path, the target propagation path comprising at least one rule level; wherein each rule level is provided with a corresponding rule engine, and the rule engine generates a sub-rule corresponding to the rule level based on the business basic information; sub-rules about freight rates of the rule levels are obtained through rule engines corresponding to the rule levels in the target propagation path; and the target freight rate rule is generated based on the sub-rules related to the freight rate, so that the generation efficiency of the freight rate rule is improved.