228 results about "Flight delay" patented technology

The invention discloses an air traffic network flow optimizing method fully taking airspace jam and flight delay into consideration. The method comprises the step of taking ground waiting, detouring, aerial speed regulating, aerial waiting and other aerial flow regulation measures into consideration and establishing a multi-objective air traffic network flow optimization model, the step of providing a route time assignment system algorithm based on the time and space separation idea and solving the multi-objective air traffic network by respectively carrying out path searching and time optimization operation on a flight and the step of inserting a designed primary operator into the route time assignment system algorithm, extracting an effective route solution, reducing searching space and improving operating efficiency. According to the air traffic network flow optimizing method, the airspace jam and the flight delay can be minimized at the same time, the operating efficiency is high, and the requirement for real-time performance of air traffic network flow optimization is met.

The invention discloses a dynamic scheduling method for multi-runway flight getting in and out. The method comprises the following steps that flight delay cost is analyzed, and a flight delay cost minimization objective function for multi-runway flight getting in and out scheduling is provided; theoretic delay time is calculated, and flight delay time of different aircraft types is converted into delay time of unit delay cost; fairness of multi-runway scheduling is analyzed, and the objective function considering the fair factor is built; ordinary constrain conditions of multi-runway flight dynamic scheduling are provided; the multi-runway flight scheduling constrain conditions considering flight delay are designed; the dynamic scheduling problem of multi-runway flight getting in and out is solved by adopting the genetic algorithm, dynamic scheduling of multi-runway flight getting in and out is achieved, and the purposes of improving the runway using rate and reducing the flight delay cost are achieved. According to the method, influence on multi-runway scheduling caused by flight delay is sufficiently considered, and the purposes of improving the runway using rate and reducing the flight delay cost are achieved.

The invention relates to an initiative claim settlement service system for the flight delay insurance. The initiative claim settlement service system comprises a service processing core module, a product management module, an insurance policy data management module, a flight dynamic database module, a user information management module, a user information collecting addition module and a payment processing module. The initiative claim settlement service system is connected with an external marketing system, an external flight dynamic database server and a third-party payment platform through ports, so that when the dynamic states of a flight guaranteed by the flight delay insurance change, relevant information can be rapidly and accurately obtained, whether insurance policies are given out or not and whether claim settlement conditions are met or not can be automatically judged, settlement can be rapidly carried out on the insurance policies meeting the claim settlement conditions, and complex procedures for automatically searching delay proofs by travelers and inconvenience caused by automatically searching the delay proofs by the travelers are saved; in other words, the insurance claim settlement service cost is reduced, and the service time length is shortened; meanwhile, the user perception and the user satisfaction are improved, and the healthy development of the market of the flight delay insurance is facilitated.

The invention discloses a long-term and short-term memory neural network based flight delay grading early warning method. The method includes analyzing an aviation meteorological message so that aviation meteorological data required by flight delay prediction can be obtained; performing multi-source data fusion to form an initial flight delay data set; converting non-numerical data into numericaldata by using semantic transformation, performing grading prediction on delay characteristics, and performing discrete partition on type characteristics and weather characteristics; performing data cleaning, missing value complementing and normalized processing to form a flight delay grading prediction standard data set, and performing partition; training long-term and short-term memory neural network based flight delay grading prediction models in batches on a training set; obtaining a long-term and short-term memory neural network model having the optimal hyperparameter on a verification set; performing verification on the performance of the optimal flight delay grading prediction model on a test set; and determining a delay early warning grade according to obtained flight delay grades through prediction. The method can effectively enhance the accuracy and reliability of flight delay early warning.

The invention relates to a flight delay prediction method based on an ARIMA model. The method comprises the following steps of stepS1, establishing a data set: flight data is collected and the flight data includes flight information, time information, airport information and delay time information; stepS2, analyzing a data set characteristic: differences of airports and airlines and an influence of weather on the flight are analyzed; stepS3, establishing the ARIMA model: establishing of the ARIMA model includes a mobile average process, an autoregressive process, an autoregressive mobile average process and an ARIMA process; stepS4, selecting an optimum ARIMA model: the established ARIMA model is verified and an optimum parameter is selected; stepS5, predicting flight delay: any flight data is acquired and then an optimum ARIMA function is selected to be a model delay function, a multiple-linear regression function is selected to be a weather delay function and a final prediction result is acquired after addition of the functions. By using the method, high prediction precision can be realized, usage time is shortened and flight delay can be effectively predicted.

The invention discloses a statistical learning model based gate position allocation method. The statistical learning model based gate position allocation method comprises the steps of adopting a prior probability prediction model, producing a take-off time difference value probability set, a take-off time difference value probability set and a landing time difference value probability set according to the historical flying situation of a certain flight, predicting arrival time probability distribution and parking apron airside leisure degree of the flight and accordingly performing flight gate position allocation. The statistical learning model based gate position allocation method is based on airside allocation, facilitates adjustment on only close gate positions of flights and shortens walking distances of passengers. In addition, overall evaluation on the using situation of gate positions is facilitated, allocation can be performed according to the planned landing time probability of the flights based on probability allocation, the gate position allocation accuracy is improved, gate position adjustment times caused by flight delay is decreased, and meanwhile the satisfaction degree of the passengers is improved. The utilization rate of the gate positions is comprehensively improved, and reasonable allocation of gate position resources is ensured.

The invention relates to a forecast inquire device of scheduled flight delay information at an airport, belonging to the technical field of civil aviation. A device at a client-end is composed of a client machine of an inquire platform, wherein the client machine is provided with information inquire input / output modules, connected with a device at a server end through a communication network. An airport server for inquiring information databank of the device at the server end is connected with a collection scheduled flight information server through the communication network. The process method is that, the device at the client end inquires the scheduled flight information at the server end through the communication network; the server end information inquire databank airport server obtains the collection scheduled flight information server through the communication network and real timely updates information of the databank; the client machine at the client end inquire platform inquires the server scheduled flight information of the information databank through the information inquire input / output modules, and tracks real timely. According to the invention, the scheduled flight information is tracked real timely, data are reliable, thereby being favorable of making effective strategy in advance with little loss.

The present invention discloses a self-help check-in method for acquiring and saving passenger information, the check-in reminding time and boarding reminding time are set according with e-ticket. The method includes: a message reminding for transacting check-in procedure is transmitted to passenger when reaching the check-in reminding time; the check-in system identifies authentication, if yes, the travel information of the passenger is searched and the passenger seat is confirmed, at the same time, the boarding pass information is returned to the passenger, if no, the check-in procedure of the passenger is refused and the current processing flow is finished. The invention also discloses corresponding system. The method is simple for transacting check-in procedure without special check-in equipment, can remind in time for checking, boarding, flight delay, and is convenient for passenger.

The invention relates to a flight delay conformance analysis and forecast system based on SOA and an operation method thereof, and belongs to the technical field of civil aviation. The flight delay conformance analysis and forecast system based on the SOA comprises an airport data acquisition front-end processor, a database server, an application server, a graphic server, a Web service calculation server, client equipment and a network communication system. The operation method comprises the following steps that: the application server acquires airport real-time operation data through the airport data acquisition front-end processor; after the airport real-time operation data is converted into forecast data in XML format, the forecast data is transmitted to the Web service calculation server for processing; the generated forecast result is transmitted back to the application server; after weighted processing, the forecast result is generated into a comprehensive forecast result and stores the comprehensive forecast result into the database server to generate delay forecast information with a proper format in a cooperation mode; and the delay forecast information returns to corresponding forecast display clients. The system and the method have excellent openness and interoperability, and provide effective flight large-scale delay conformance analysis and prewarning functions for the civil aviation airport and aviation companies.

The invention discloses an airport plane taxi scheduling and commanding system and method. The system comprises a control commanding module, an information supporting system, an information assessing system and a scheduling decision system. The information supporting system acquires and transmits the data of current airport plane operation to the scheduling decision system; the scheduling decision system makes the plane taxi scheduling plans according to the data and feeds back the plans to the control commanding module; the control commanding module determines and publishes the plane taxi scheduling plans. According to the system and method, the manner of human-computer interaction is adopted, the manner that plane taxi scheduling and commanding are performed through the control commanding module, man-made decisions or airport operation rules in a single manner is replaced with the automatic decision manner combined with the supervision of the control commanding module, the workload of control commanding is reduced, the plane taxi scheduling and commanding can be benefited on the condition of high traffic intensity, and the congestion and flight delays can be relieved.

A flight time resource configuration and optimization method suitable for airline hubs is disclosed. The flight time resource configuration and optimization method comprises the steps of calculating the quantity of first-type time resources; optimizing the first-type time resources; calculating the quantity of second-type time resources; optimizing the second-type time resources for the first time; performing primary real-time analog simulation and conflict regulation; optimizing the second-type time resources for the second time; and performing secondary real-time analog simulation and conflict regulation, and the like. The flight time resource configuration and optimization method can bring benefits for multiple sides and can realize the maximum of social benefit; for passengers, reasonable flight time can greatly reduce probability of flight delays, so that the passengers can enjoy the more good-quality air transportation service; for airports, the airline hubs can optimize the airport management systems, expand international market shares and improve the competitiveness of the airports; and for airlines, the airlines can establish and construct main center radiation type airline network, ensure the flight service quality and improve the reputation of the airlines consequently.

The invention provides a flight delay model establishment method and device and a prediction method and device, and relates to the technical field of machine learning, and the method comprises the specific steps: obtaining historical data, and carrying out the data preprocessing of the historical data; constructing input characteristics of a flight delay model for the historical data after data preprocessing; wherein the input characteristics comprise non-weather characteristics of the flight and weather characteristics of the flight; performing random stratified sampling on the historical data after data preprocessing to obtain a training set, a first test set and a second test set; determining a target weather feature from the weather features of the flight based on a preset algorithm; establishing a corresponding basic model according to the non-weather characteristics of the flights of the training set and the at least one target weather characteristic; over-fitting of the basic model on the training set is prevented through expression of the basic model on the first test set; and combining the plurality of basic models into a flight delay model through the second test set. Overfitting can be prevented, and an ideal prediction effect is obtained.

The invention discloses a flight delay causality network building method based on a Granger test, pertaining to the technical field of delay analyses for civil aviation. The method comprises the following steps: firstly, acquiring a delay time sequence of each airport with the set time period according to historical data of flight of airports; then, taking each airport as a node for the network and testing a Granger causality of each pair of airports, when an airport I causes delay of an airport j by the test and establishing a directed edge from a node i to node j; and ultimately, repeating the above processes till selected airports are added to the network and making flight delay analyses by means of the obtained network. Through the established flight delay causality network, the numberof delay dissemination paths is analyzed for some large airports. Therefore, the delay dissemination range is narrowed, thereby effectively resolving a delay problem. The delays disseminated by an overall system are reduced. Therefore, loss caused by many flight delays is lowered.

The invention discloses a flight delay statistical method and a flight delay statistical device, wherein, the flight delay statistical method comprises: real-time data of flight operation is monitored, a flight operation model is built, and a flight flying section plane is computed; flow control information is received, format conversion of the information is realized, and flights that are directly influenced are computed according to the flight flying section plane; successive connecting information and station turnaround time of flights are summarized, flights that are indirectly influenced are computed, and the flight delay number is the sum of the flight numbers that are directly influenced and indirectly influenced. The flight delay statistical method and device can analyze the directly or indirectly influenced flights and the delay degrees thereof according to the flow control information of air traffic management, improve the accuracy of delay analysis and lower delay influence.

The invention discloses a novel, highly-efficient and dynamic multi-runway airport entering-flight multi-efficiency optimization ordering method aimed at providing a safe, scientific and feasible entering scheme for entering flights at a terminal area. By defining a multi-performance runway distribution evaluation function, runways and entry air lines are allocated and determined; delay distribution is optimized and flight landing time is determined according to a flight comprehensive priority so as to realize airport runway flow uniform distribution, reduce flight entry flight time and flight delay, raise spatial domain resource utilization efficiency, reduce control work load and further raise the operation efficiency of the entering flights in a multi-runway airport.

The invention discloses a flight delay real-time probability prediction method based on a Bayesian network algorithm, and the method comprises the steps: formulating a flight delay judgment standard,analyzing a delay wave and the impact on flight delay, and determining the release fairness of departure flights; analyzing the delay characteristics, determining flight delay factors, and creating aflight delay dynamic prediction model based on a Bayesian network; adopting a dynamic prediction technology based on a time sequence to predict the present transverse wave and measurement index to obtain a final flight delay prediction value, and generating a prediction set; and carrying out probability prediction on prediction set data by utilizing the flight delay dynamic prediction model obtained by training, and obtaining a prediction value of each flight delay level by adopting a probability maximum principle. According to the invention, real-time probability prediction can be carried outon the departure delay level of a single flight of an airport every day, the flight delay prediction precision is improved, a delay early warning notice is issued to passengers in time, an operationstrategy is adjusted in time, and various adverse effects caused by flight delay are reduced.

The invention provides an aircraft fault real-time monitoring method and system based on an ACMS. The method includes the steps that aircraft technical manuals and ACMS technical specifications are acquired; according to the aircraft technical manuals, aircraft fault characteristic parameters are extracted; according to the ACMS technical specifications, aircraft fault characteristic parameters are written into an ACMS parameter library, and an ACMS fault parameter library is built; according to the aircraft fault characteristic parameters and the ACMS technical specifications, an aircraft fault monitoring program is programmed; the ACMS fault parameter library is introduced into the aircraft fault monitoring program, and aircraft fault information is output. Flying conditions of an aircraft can be acquired in real time based on the ACMS, aircraft faults are monitored through the program, time is earned for removing the faults, the frequency of occurrence of flying accidents and the frequency of flight delay can be reduced, and operation efficiency and safety level of an airline company can be improved.

The invention discloses a close-range parallel runway collision risk and safety interval calculation system and a method. The system is configured to have four big parts: a software interface, basic information, function calculation and a database. On the basis of running and operation of a system program, and through an establishment of a close-range parallel runway collision risk model, collision risk probabilities and safety intervals of two airplanes in lateral, longitudinal and vertical directions can be calculated respectively, and collision risks and safety intervals of a close-range parallel runway running aircraft in different running modes can be calculated rapidly in real time. According to the system, on the premise that safety is guaranteed, an interval standard is appropriately reduced, the spatial domain utilization rate is substantially improved, the airport capacity is increased, an assistance is provided for solving the problem of increasingly serious flight delays. Airline company running efficiency is improved, runway land is reduced, and the problem that a new built runway has an impact on environment is solved well.

The invention relates to a handheld boarding method. An applied system comprises a tablet computer, a portable Bluetooth second-generation-identity card reader, a portable Bluetooth RFID (Radio Frequency Identification) boarding card reader and a portable Bluetooth printer. According to the method, a boarding queue, equivalently a mobile boarding counter, is dynamically added at a boarding port of an airport by ground service personnel through a handheld boarding system according to the needs of traffics, resources and businesses, passengers transact boarding business at the queue through the tablet computer of the ground service personnel, the system supports currently-mainstream boarding evidences, namely paper one-dimensional and two-dimensional bar codes, phone one-dimensional and two-dimensional bar codes, second-generation identity cards and RFID boarding cards, and passenger stub information is printed by the portable Bluetooth printer according to the business needs. The method serves as a supplement of the existing counter boarding and the existing self-service boarding; and through the low-cost dynamic increase of boarding queues, the flexibility of resource allocation is enhanced, the queuing time for the passengers is reduced, the overall traffic efficiency is improved, the flight delay is reduced, and the boarding experience for the passengers is improved.

The invention discloses an abnormal flight aircraft path and passenger journey automatic recovery system and method, and the system and method automatically achieve the rescheduling of an aircraft path and a passenger journey when an abnormal flight occurs through a computer and an optimization technology. The system comprises a system data input module, a system parameter management module and arecovery result output module of a client, and a passenger cost estimation module, a flight cost estimation module, an aircraft path recovery module and a passenger journey recovery module of a server. The invention further provides an abnormal flight aircraft path and passenger travel method based on the optimization model. According to the system and the method provided by the invention, the traditional low-efficiency mode of manually adjusting the aircraft path and the passenger travel is avoided, the rescheduling of the aircraft path and the passenger travel is automatically and quickly realized, the flight delay and the flight cancellation are reduced, and the smooth travel of passengers is ensured.

The invention provides a method and a system for pushing flight delay information, a storage medium and electronic equipment. The method comprises the following steps: acquiring a plurality of historical flights and acquiring characteristic attribute associated with each historical flight; calculating information gain of each characteristic attribute by using an integrated tree model and screeningout the characteristic attribute with the information gain more than the preset gain value; based on the screened characteristic attribute, calculating the delay probability of the unfinished flightby a regression analysis model; pushing the calculated delay probability of the unfinished fight; and for the unfinished flight with the delay probability exceeding the preset probability value, pushing train schedule information, which arrives before the arrival date of the unfinished flight, between the departure city of the unfinished flight and the arrival city of the unfinished flight. Important variable is selected through the integrated tree model, the flight delay probability is predicted by the regression analysis model, the replaced train schedule information is pushed for the flightwith high delay probability, and the fact that a user can go out timely is completely guaranteed.

The embodiment of the invention discloses a low-altitude aircraft meteorological information interaction system. The system comprises a general aviation meteorological data processing center for sending meteorological data to an aircraft through a special-purpose communication network; an airborne terminal for sending a meteorology query request to the aviation meteorological data processing center through a radio communication network, receiving meteorological data sent by the aviation meteorological data processing center and parsing the received data; and an airborne interaction device for connection with the airborne terminal for storing and displaying the meteorological data obtained by the aircraft, receiving a meteorology query instruction of a user and sending the instruction to the airborne terminal. According to the invention, meteorological predication information and a decision-making tool are combined together, a unified means for obtaining key general meteorological parameters in real time and realizing common situation acknowledgement is provided, the spatial domain utilization rate existing all flight fields is improved, and flight delays are reduced.

The invention discloses an approach flight dynamic cooperative sorting method, and the method specifically comprises the following steps: 1, respectively establishing an approach flight cooperative sorting model for different air traffic densities; 2, acquiring ADS-B data and flight plan data of the incoming flight through a dynamic method, and judging the real-time air traffic density; 3, inputting the arrival flight ADS-B data and the arrival flight plan data obtained in the step 2 into an arrival flight collaborative ordering model corresponding to the real-time air traffic density, and solving the arrival flight collaborative ordering model to obtain a flight order. The invention provides the method for realizing dynamic collaborative sorting of approach flights. The method conforms tothe idea of collaborative decision making, comprehensively considers the benefit requirements of a control unit, an airline company and an airport, can optimize and sort incoming flights, guaranteesthe real-time performance and dynamic performance of flight sorting, remarkably improves the runway capacity, and effectively improves the flight delay balance and flight delay fairness.

The invention discloses a single airport flight season change time slot optimization method based on historical operation data driving. The method comprises the following steps of 1) acquiring historical data information; 2) preprocessing acquired historical operation data; 3) constructing an optimization model of data driving, firstly, according to distribution of flight to a time slot, defininga 0-1 type integer decision variable, then, based on historical real operation data, taking a minimized deviation airline company request time and flight delay as a target and establishing a minimizedtarget function, and then, determining a constraint condition, and acquiring the optimization model of data driving; and 4) according to the established optimization model of data driving, using a cutting plane method to solve and acquiring optimal distribution of a season change flight time slot. By using the single airport flight season change time slot optimization method based on the data driving, a quantitative auxiliary decision tool is provided for a flight plan making manager and the flight season change time slot can be programmed scientifically and reasonably.

The invention relates to an establishment method of a data actuarial-model of flight delay insurance. The data actuarial-model of the flight delay insurance includes an initial-data preprocessing module, a data model operating module and a prediction result analysis module. The method includes the steps of: (1) preprocessing initial data; (2) determining data indexes, and carrying out calculationfor basic data and additional data of flights; (3) constructing the data model, and carrying out regression method calculation for the plurality of obtained different indexes through an R language; (4) running the data model multiple times to obtain multiple weight values, and acquiring mean values of the weight values to calculate final weight values; (5) carrying out calculation on results of the different indexes and the data model to obtain final prediction results; and (6) obtaining differences of the prediction results and actual values by comparing, and adjusting the data model to enable the data model to fit delay values of the flights and obtain more accurate prediction results. The method adopts the R language to construct the data model for the flight data indexes through a regression method, and has the characteristic of more accurate prediction.

The invention provides a flight monitoring and controlling system and a monitoring and controlling method thereof. The flight monitoring and controlling system comprises a data acquisition module which is provided with a data interface used for acquiring and / or receiving data of airports, air traffic, airlines and flight information interfaces, a data storage module which is used for storing the data acquired and / or received by the data acquisition module, a data conversion module which is used for converting the data acquired and / or received by the data acquisition module into data of a predetermined format in the data storage module, a monitoring module which is provided with a flight period statistics unit and a dynamic query unit, and a flight delay decision module which is used for deciding abnormal data stored in the data storage module when the actual traffic is greater than the maximum threshold of the traffic in all periods. Therefore, the flight delay decision module can decide abnormal data timely based on the monitoring result of the monitoring module, and users can make improvement according to the reason for flight delay.

The invention discloses an automatic proportioning device for flash heat and feed liquid of a plane, which comprises a liquid reserve tank, a water tank, a deicing liquid heater, a water heater, two fuel oil type burners, two fuel oil supply devices, a deicing liquid pipeline control system, a water pipeline control system, a general export valve, a spray gun and a computer control system. The automatic proportioning device for flash heat and feed liquid of a plane provided by the invention adopts a plurality of heaters to heat the deicing liquid and water simultaneously, and then the deicing liquid and the water are mixed fully and then are exported. Therefore, the heating rate and the deicing operating efficiency are improved. In addition, the proportion and the outlet temperature of the deicing liquid and the water can be set flexibly by airport staff according to the intraday weather condition, and the fluid production and the heating time are worked out accurately by the computer control system, thereby the safe operation and punctual take off of airport flight are guaranteed effectively, the regional flight delay is reduced, and plane flight safety accidents caused by the flight delay are reduced.

The invention discloses a rolling time domain control method for spatial domain dynamic dispensing, and belongs to the field of air traffic management. A rolling time domain control strategy is arranged, by taking minimization of total delay loss of all flights and passengers in a current time domain as a target, a spatial domain dynamic dispensing model is established, spatial domain time slot resources in the current time domain are distributed in an optimized mode, a spatial domain dynamic dispensing strategy in each time domain is generated and executed, and flight delay loss caused by temporary change of spatial domain application demands is reduced as much as possible. Compared to a conventional first arrival first service strategy, a quite good optimization effect is achieved, a realization method is proved for dynamic dispensing of the spatial domain time slot resources under the condition that the spatial domain application demands are changed, temporary change of flight demands can be effectively handled, the delay loss is reduced, and a technical basis is provided for regional route flow management and spatial domain and flow cooperative management.

The invention discloses an airspace sector dividing method based on computation geometry and simulated annealing. The method is achieved under the assistance of a computer system which comprises a sector dividing subsystem, wherein the sector dividing subsystem serves as a realizing platform of an area control sector dividing method. According to the airspace sector dividing method based on the computation geometry and the simulated annealing, on the basis of the control airspace structure and traffic flow spatial distribution, a vague multiple-target function and a constraint condition function of control sector dividing are established, a binary strategy of airspace dividing is put forward, a sector optimization dividing problem is solved by means of the simulated annealing algorithm, global optimum is achieved by means of the simulated annealing method of the binary strategy, the overall satisfaction degree of section dividing multiple-target optimization is higher than the satisfaction degree when only balancing of the sector average flow rate is considered, minimum flight time constraint, minimum distance constraint and sector boundary and main traffic flow crossing angle constraint are achieved, airspace operation safety is guaranteed, and the occurrence rate of flight delay is reduced.

The invention relates to a trailing interval flow control scheme rationality assessment method. The trailing interval flow control scheme rationality assessment method comprises the processes of utilizing a data source under the condition without trailing interval limitation to assess accuracy of demand predication and capacity prediction and to eliminate interference of MIT (miles-in-trail) factors, and establishing a demand prediction and capacity prediction accuracy probability computing method; based on different demand and capacity prediction accuracies, establishing a process for assessing the rationality of MIT under the condition of taking trailing interval flow control measures; determining capacity influence rates f(CERXt) of different weathers; analyzing consequences and possible reasons due to the fact whether the MIT is implemented under different predicting conditions. The trailing interval flow control scheme nationality assessment method improves the current situation of incapability of assessing rationality of existing MIT flow control measures, lays foundation for enhancing and improving trailing interval control schemes, achieves effective supervision of every airspace control units, improves the air traffic efficiency and the management level, avoids airspace resource waste, improves the on-schedule rate of flights and reduces flight delay.