126 results about "Flight number" patented technology

The invention discloses a method for providing mobile self-service in the process of waiting for an airplane. The method comprises the steps: A, user data obtained by a mobile service terminal are verified and analyzed, and flight number information and a corresponding flight of a user are obtained; B, the mobile service terminal interacts with a backstage service system to obtain service data; C, the mobile service terminal establishes indoor real-time locating information of the mobile service terminal and provides at least one path from the current position to a flight boarding gate corresponding to the service data or a pointed position according to the service data and the real-time locating information, and navigation prompting is carried out. The invention further discloses a system achieving the method so as to provide personalized one-to-one flight information, locating and navigation prompting for a passenger waiting for the airplane in an air port, provide the path leading to the boarding gate, estimate the required time, and bring convenient, comfortable and pleasing waiting experience to the passenger.

The invention discloses a flight ticket booking and flight information inquiry method and system based on the mobile internet. The method comprises the following steps that a client shows a flight list according to a flight course and a traveling date selected by a user so that the use can conduct flight ticket booking operation, inquiry requests of input weather services and traffic guidance and/or airport pickup services are submitted to a server, and a dynamic flight information inquiry request is sent to the server according to a selected start city and/or a selected flight number; the server obtains inquiry results according to the corresponding requests and pushes the inquiry results to the client, and the client gives attention to and shares the corresponding inquiry results; if the user carries out flight ticket booking, an order is generated, and meanwhile inquiry journey list information is input into the client, so that seat selecting and checking-in are carried out directly, the client sends information of a flight ticket booked by the user to the server, and verification operation is carried out; if the user does not carry out flight ticket booking, the client gives attention to and shares related flight ticket information and/or dynamic flight information.

The invention relates to a system and a method for realizing airport pickup and taxi taking service in networked taxi renting. The system comprises vehicle terminals, a taxi calling user client, a passenger mobile phone, a server for providing taxi taking service, and a system for providing flight information query. The method is characterized by comprising the following steps: the taxi calling user client sends an airport pickup request containing flight number; the server selects suitable taxies according to the flight number and sends an order to the vehicle terminals of the selected taxies; the vehicle terminals choose whether or not to take the order according to the status of operation; the server returns the information of the taxies choosing to take the order to the taxi calling user client; a taxi calling user selects a taxi; and the server generates a corresponding order and sends order-related information to the driver of the taxi and the passenger.

The invention discloses a method for mining flight number regulatory factors through historical data/ through analyzing the regulatory factors by three aspects, the regulatory factors of height, speed and horizontal position are extracted, and datamation of a regulator regulatory command is carried out; and the regulatory factors are introduced for correcting a planned track, thus the accuracy of an aircraft plan prediction track is improved.

The invention discloses a flight dynamic entity information updating method and a system thereof; wherein, the method comprises: searching the correspondent flight number in the flight plan information in the flight dynamic entity according to the flight number mark in the Aeronautical Fixed Telecommunications Network (AFTN) message, determining the flight dynamic entity corresponding to the flight number is the flight dynamic entity to be updated, searching the correspondent taking-off airport and/or landing airport in the flight plan information according to the taking-off airport and/or landing airport information in the AFTN message and updating the leg information in the FPL information or the flight actual information of the flight dynamic entity to be updated corresponding to the taking-off airport and/or landing airport information of the flight plan information. The invention can precisely associate the flight dynamic entity to be updated and can precisely position the specific leg in the flight dynamic entity to be updated, thus realizing correctly and effectively updating the flight dynamic entity information.

The invention discloses a method for scheduling airport vehicles according to flight information. The method comprises the following steps of selecting an airport pick-up and drop-off service by a passenger through a client, and inputting vehicle use information to an information filling interface of the pick-up and drop-off service; obtaining current flight information of a flight of the passenger according to the vehicle use information filled by the passenger, wherein the current flight information comprises a flight number, a departure point, a landing site, estimated departure time and estimated arrival time; and performing automatic matching of a pick-up and drop-off driver meeting a pick-up and drop-off condition according to the obtained current flight information to generate a pick-up and drop-off order containing passenger identity recognition information, pushing a message containing the pick-up and drop-off order to the pick-up and drop-off driver to enable the pick-up and drop-off driver to arrive at a specified airport for performing pick-up at the estimated arrival time of the flight of the passenger, and storing the pick-up and drop-off order in a database. According to the method, current definite flight information can be analyzed, so that definite pick-up and drop-off time is pushed to the passenger and a service provider.

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 relates to an aircraft listing method based on a combination of video analysis and positioning information. The method comprises the steps of acquiring of information of a known aircraft, video monitoring, target matching, aircraft listing and the like and particularly comprises the steps of converting latitude and longitude coordinates of the known aircraft into coordinates of an image coordinate system, forming a panoramic image according to video monitoring images, carrying out target recognizing and target tracking on the panoramic image by taking the aircraft as the target,recognizing the aircraft target in the panoramic image and matching with the known aircraft to establish a matching or corresponding relationship between the aircraft target and the known aircraft andcarrying out aircraft listing by adopting coordinates, width and height of the aircraft target, which are obtained through the video monitoring, and the flight number of the known aircraft which is matched with the aircraft target. Therefore, the accuracy and the reliability of the aircraft listing are increased and the smooth pursuit effect of the aircraft listing is realized.

The invention relates to an intertidal zone habitat survey method based on unmanned aerial vehicle aerial photography. The method comprises the steps that an unmanned aerial vehicle low-altitude aircraft is adopted as a remote sensing platform, needs to carry a digital camera, and integrates a GPS and a gyroscope module; a tidal table of a surveyed intertidal zone region is inquired; executable time periods of unmanned aerial vehicle aerial photography are determined according to high and low tide levels and tide time of a spring tide period; flight numbers and air lines of the aerial photography and control points needing to be arranged are planned; arrangement of the control points, measurement and aerial flight photography are completed; aerial photography images are processed, exposure adjusting, image splicing and geometric correcting are involved in processing, and therefore a high-resolution image of the whole survey range can be formed; speckle extracting and spatial formation ecological parameter calculating are carried out on specific type of the intertidal zone habitat. The method overcomes the defect of an existing intertidal biology survey method or a traditional topographic survey method, obtains spatial framework information of the intertidal habitat, and provides the basis for evaluating the ecological function and the ecological value of the inter-tidal habitat.

The invention discloses a civil aviation passenger departure training system which comprises an FTP (File Transfer Protocol) server, a teacher machine and learner machines, wherein the FTP server, the teacher machine and the learner machines form the training system of a high simulation DCS (departure control system) production system in a local area network; operation and control commands sent by the teacher machine and the learner machines are firstly sent to the FTP server; data are sent to the teacher machine and/or the learner machines by the FTP server; simulation software and a centralized data base run on the FTP server; and the simulation software comprises a system foundation data maintenance module, a departure check-in flight number data module, a civil aviation passenger departure simulation operation module and a learner practicing, commenting and examining module. The system disclosed by the invention not only can meet the requirements of a passenger departure system on the training, and simultaneously separates and eliminates the relaying and the interference of the training system on production data of the DCS production system, so that the safety, reliability and stability of the DCS production system are ensured and improved.

The invention relates to a flight inference system and a method thereof; wherein, the flight inference system comprises an inference module and a display module; the inference module is used to obtain flight object collection and airspace restriction condition object collection within the scope of inference time, infer flight movement at each inference time according to the flight object collection, set monitoring state at each inference time according to the airspace restriction condition object and flight object collection and send the flight movement and monitoring state to a display module; the flight movement comprises flight number, flight position information, flight course information and flight state; the monitoring state comprises airspace alarming state and flight alarming state; the display module is used to display movement and monitoring state of the flight. Based on the flight object collection and airspace restriction condition object collection, the invention carries out inference and imitation on the flight scheduler, can effectively evaluate the formulated flight scheduler, thus ensuring scientific and rational flight scheduler, easing airspace traffic pressure and assisting work of the air traffic controller.

The invention provides a flight plan adjustment method and device and a computer readable storage medium. The flight plan adjustment method comprises the following steps: acquiring a flight plan and airport traffic capacity in a predetermined adjustment time period, wherein the flight plan comprises flight number information, route information, planned takeoff time and planned arrival time of a plurality of flights; predicting flight operation condition of the flight plan based on the airport traffic capacity, wherein the flight operation condition comprises the predicted takeoff time, the predicted arrival time and the predicted point-passing time of each flight included in the predicted flight plan; calculating at least one flight operation index based on the flight operation condition,and judging whether the flight operation index meets a preset index threshold value or not; and outputting a flight plan when the flight operation index meets a preset index threshold, and adjusting the flight plan based on the flight operation condition and the airport traffic capacity when the flight operation index does not meet the preset index threshold.

Inter alia, methods, and means for price comparisons for travel and accommodations. One embodiment identifies an online database where users input the actual prices paid for travel services and accommodations, including any discounts, coupons, or price premiums. The database can be searched by all uses who have subscribed to the service. In one embodiment, the search criteria can any combination of vendor name, travel dates, start and end locations, booking date, flight number, etc. The users can thus determine the prices actually paid by other users for a given travel service or accommodation. This information could be valuable in negotiation better prices from vendors, or in determining if there are better times to make travel bookings.

The invention discloses a method for monitoring safe operation of an airport apron through video analysis and deep learning. The method comprises the steps of matching a corresponding aircraft and airport apron information according to the flight numbers and the airport apron information, and monitoring the safety of the aircrafts on the airport apron by combining airport flight operation guarantee standards and civil airport operation safety management regulations through a video analysis algorithm, thereby guaranteeing that the aircrafts can be operated according to the specified flows and ensuring the safety of the operation of the aircrafts. And when the violation is found, the alarm is given immediately, and the screenshot and the short video corresponding to the alarm can be viewed through the alarm prompt, thereby ensuring that the violation items can be dealt immediately and processed in time.

The invention discloses a method for realizing intelligent sending of a civil aviation telegram through a computer. The method comprises the following steps: S1) receiving an FPL telegram; S2) verifying the telegram format of the FPL telegram, and if the verification result is right, carrying out the step S3); S3) verifying take-off and landing airports, flight number and take-off and landing timeof the flight in the FPL telegram, and if the verification result is right, carrying out the step S4); S4) searching whether a flight plan of the flight exists, and if the flight plan exists and thetake-off and landing airports of the flight belong to a current control area, carrying out the step S5); S5) carrying out airway verification of the flight, and if the airway verification result is right, carrying out the step S6); S6) judging whether the FPL telegram needs forwarding, and if so, carrying out the step S7); and S7) forwarding the FPL telegram to each telegram reception address of each control area along an estimated air route of the flight. The method realizes automatic processing of reception, verification and forwarding of the civil aviation telegram and improves working efficiency.

The invention relates to an economic and practical unmanned aerial vehicle (UAV) lifespan assessment method characterized in that: based on the characteristics of low itself safety requirements and no casualties of an UAV, the statistical data of maintenance support of the UAV is analyzed to determine key components of an unmanned aerial vehicle (UAV) body structure; base load spectrum of the key components can be determined by flight simulation and flight monitoring data, the cumulative fatigue damage of the key components can be determined by small amount of fatigue tests; and finally, according to simulated and monitored mission profile load spectrums, unit voyage damage coefficients of each mission profile of the components can be determined to obtain the flight number and voyage affordable by each key component, and a minimum value is selected as the fatigue lifespan of the unmanned aerial vehicle (UAV) body structure. The beneficial effects of the economic and practical unmanned aerial vehicle (UAV) lifespan assessment method are that: the complex modeling is abandoned, the flight monitoring data is made full use, the calculation is convenient, the economic benefit is obvious, the operation method is simple, practical and strong in engineering practicality, and the lifespan of the unmanned aerial vehicle (UAV) body structure can be accurately predicted and evaluated.

The invention discloses a flight delay prediction method and device and a computer storage medium. The method comprises the steps of obtaining a flight prediction data set, wherein the flight prediction data set at least comprises one of a flight number, a flight control number, a departure airport, the flight takeoff time, a landing airport and the flight landing time; preprocessing the flight prediction data set; training a random forest network model by adopting the processed flight prediction data set; and carrying out airway delay prediction by using the trained random forest network model. According to the invention, an aviation data set is established by receiving an ADS-B message and fusing the information related to flights and airports on the Internet, and on the basis of the data set, a feasible flight delay prediction model is trained, so that the accurate delay prediction can be carried out on the flights with unknown delay. The method and the device are convenient for thetravels, provide the airline company data support and have the potential value.

The embodiment of the invention provides a virtual aviation data management method based on chartered plane seat-switch resource integration; the method comprises the following steps: receiving a client query request, wherein the query at least comprises the home position and destination of the requested flight; checking the course stock data in a database according to the query request, determining whether a course with unoccupied shipping space and matched with the query request exists or not, and if not, ending the process; displaying the course information of the checked course with the unoccupied shipping space for clients according to the checking result of the query step, wherein the course information at least comprises the flight number, the home position, the destination, the route list, the unit price, the ticket issuing rate or free admission policies, the combined transport information and upgrade information; forming a contract according to the client selected course withthe unoccupied shipping space, detecting whether a preset account has received payment from the client or not, and marking the contract as an executable state; confirming the people number, the payment fare and the submitted list, and confirming the ticket numbers after the airline company issues the tickets.

The invention relates to a parallel runway capacity calculating method based on random simulation. The method includes the steps of setting initial parameters for calculating runway capacity, generating rising and landing type vectors of aircrafts, generating aircraft type vectors, allocating one corresponding arriving or departure point for each arriving or departing aircraft according to proportion, allocating one runway for each flight and generating runway vectors, sequentially calculating the interval Si, i+1 of i flight and i+1 flight from the first flight, calculating the taking-off and landing moments of each subsequent flight, calculating the flight number as the capacity value of current random conditions, taking a mean value as a runway capacity value after simulation for N times, and displaying the calculating result. Variable randomness is simulated through the monte-carlo method, and the taking-off and landing moments of each flight is calculated in a recursion way according to discrete event system principles. The capacity value is obtained by calculating the flight number in one hour. Scientific runway planning scheme evaluation is realized, and reasonable arrangement of flight schedule and precise flow management are realized.

The invention provides a mobile flight dynamic subscription method which comprises the steps that 1. a flight dynamic event is received; 2. the flight dynamic event is analyzed, and a key field of the flight dynamic event is obtained; and 3. according to the obtained key field of the flight dynamic event, flight dynamic information is sent to a corresponding client side. By subscribing a needed flight number and arranging a needed flight dynamic type, the flight dynamic information of the corresponding type can be obtained in real time accurately.

The invention discloses a method and system for obtaining an airway weather radar chart. The method is applied to a civil aviation data query system. The method comprises the following steps that according to flight number and flight time parameters input by a user, specific airway information is obtained, and namely, all navigation mark points from the starting point to the ending point are obtained; by the utilization of all air route navigation mark values obtained from a data base of the civil aviation data query system, the navigation mark points are converted into two-dimensional parameters (Xes,Ys), wherein Xes are longitude values corresponding to navigation marks and Ys are latitude values corresponding to the navigation marks; third-party radar chart data are obtained, an airway and a third-party radar chart are overlapped to form an airway radar chart, and meteorological values on the airway weather radar chart are updated in real time. The method for obtaining the airway weather radar chart has the advantage that the airway weather radar chart provides a visible platform for tourists to query the air way weather conditions of flights where the tourists are. The invention further relates to a system for obtaining the airway weather radar chart through the method.

The invention relates to a data warehouse model for storing multidimensional knowledge. The data warehouse model comprises an absolute dimension layer, an aggregation layer, a relative dimension layer and an entity layer, wherein the absolute dimension layer comprises an absolute time dimension module, an absolute place dimension module and a main classification dimension module; the aggregation layer comprises an event module, an organization module and a relationship module; the relative dimension layer comprises a relative time dimension layer, a relative place dimension module and a role dimension module; and the entity layer comprises a personnel module, an article module and a contact way module. The data warehouse model has the advantages of combining various kinds of multidimensional knowledge such as the time module, the place module, a classification module and the like and a plurality of aggregations such as events, organizations, family relationships, call records, flight numbers, hotels and the like, realizing knowledge discovery, realizing knowledge limitless association and finding the required knowledge rapidly.

The invention relates to an airline ticket seat reservation number prediction method based on an improved increment model, which comprises the steps of: (1) acquiring and preprocessing flight historical seat reservation data; (2) acquiring cyclic period data and corresponding period data; (3) predicting an airline ticket seat reservation number. According to the invention, corresponding freight space weighted prediction results are obtained by utilizing cyclic period dates and corresponding period dates, and a final seat reservation number prediction result is obtained by combining a multiplelinear regression model. Compared to the prior art, according to the invention, a freight space number weighting method is introduced, and a problem of interference of different total flight freight space numbers on the prediction result, which is caused by different flight numbers and different flight types on different dates, is solved. Moreover, connection between corresponding period and cyclic period seat reservation data and a to-be-predicted seat reservation number is sufficiently utilized, inherent time characteristics of historical data are mined, prediction accuracy is improved, andthe airline ticket seat reservation number prediction method has the important effect of guiding an airline company to carry out subsequent freight space regulation control and dynamic pricing and hasthe important practical application significance.

The invention provides a predication method and system of macroscopic indexes of a civil aviation market. The method comprises the following steps: classifying flight numbers according to a model training data set and a model application data set; converting the classified model training data set into a matrix and generating a predication model; applying the predication model to the model application data set, so as to obtain a predicated result of the macroscopic indexes. By adopting the predication method and system provided by the invention, the blank of utilizing civil aviation data assets to analyze and predicate a total condition of the civil aviation market is filled, and the problem in the prior art that the civil aviation market cannot be analyzed and predicated according to the civil aviation data assets is solved.

The invention relates to a method for determining the discharge amount of aviation atmospheric pollutants based on a spatial domain scale. The method mainly comprises the following steps: 1) definingthe range of a research spatial domain; 2) establishing a flight database in the airspace, wherein the flight database comprises flight numbers, take-off and landing airports, flight distances, flightroutes, waypoints, passenger carrying rates and models; 3) establishing a model and engine database; 4) dividing all airlines of the researched airspace into two types of an intra-region airline anda cross-region airline; And 5) calculating the discharge amounts of atmospheric pollutants NOx, HC, CO, CO2 and SOx generated by all airlines in the research airspace according to the model. The invention provides a calculation method for accurately measuring the discharge amount of the aviation atmospheric pollutants in different research airspaces, different types of atmospheric pollutants are comprehensively considered, the discharge responsibility of the aviation atmospheric pollutants in different airspaces is conveniently defined, and the aviation atmospheric pollution is further treatedfrom the regional scale.

The invention relates to a method for alarming about hourly overcapacity of an airport and a device thereof; wherein, the method comprises the following steps: flight service conditions of a certain related airport on the same day are obtained from a flight service information database at the same day throughout the country; statistic is carried out on hourly number of flights of the airport at the same day according to flight service information of the airport at the same day; comparing the hourly number of flights of the airport at the same day with preset hourly standard capacity value of the airport at the same day; when the hourly number is larger than the hourly standard capacity value, an overcapacity alarming signal is sent. The device of the invention comprises an information acquisition unit, a flight number statistical unit and an overcapacity alarming unit. In the invention, real-time monitoring of the hourly capacity of the airport is realized and the purpose of alarming about hourly overcapacity is achieved, therefore, the method and the device of the invention are of great significance in rationally arranging taking off and landing time slot of flights, ensuring highly effective and stable operation of taking off and landing flights in the airport, reducing flight delay caused by airport congestion and improving efficiency ratio of flight operating charges.

The invention relates to a method for displaying prompting information related to a password. The method comprises the following steps of: setting prompting information related to a password when the user sets the password; and simultaneously displaying the prompting information (2) related to the password in a dialog window (1) for the user to input the password when the user logs on a computer network or a system. In the invention, the prompting information (2) is preset to be related to the password according to the password content and can help the user to remember the password, for example, a user touring in Guilin makes a friend in a return airplane, uses the pinying of the friend name and the flight number as an account password and uses the landscape of Guilin as the prompting information so that when the user logs on the account, the dialog window displays the information of the landscape of Guilin, and the user can remember the pinying of the friend name and the flight number and rightly input the password.