The 28th Research Institute of China Electronics Technology Group Corporation

Jibo Huang

Hui Ding

Ming Tong

Wenyi Tang

Ke Xu

Yang Zhang

Xuan Wang

Jing Tian

Weiyu Jiang

Shangwen Yang

Feifei Chen

Qingqing Tan

Zeyuan Liu

Qiucheng Xu

Shenghao Fu

Xiaozhu Shi

Mingwei Zhang

Xi Chen

Yan Liu

Yang Ding

Yibo Ding

Xu Bao

Bin Dong

Fan Bao

Shan'e Xu

Lu Jiang

A method for collaborative and optimal allocation of a route time slot and a flight level comprises: acquiring planned route information and alternative route information in a traffic limited airspace, available time slot information of a downstream airspace unit of the planned route, and flight operation information first, then formulating an algorithm for the collaborative and optimal allocation of the route time slot and the flight level, establishing an objective function and a constraint condition which meet effectiveness by taking a minimum total ground delay loss of all flights, a minimum change number of flight levels of all flights and a minimum total fuel consumption of all flights as objectives, further establishing a multi-objective optimization model for the collaborative allocation of the route time slot and the flight level, and forming a strategy for the collaborative and optimal allocation of the route time slot and the flight level.

Method for collaborative and optimal allocation of route time slot and flight level

An airspace network optimization method based on a flight normality target is capable of comprehensively considering spatial and temporal distribution of national air traffic demands, a service capability of an airspace network and a capacity increase limit of each airspace unit according to the flight normality optimization target on the basis of carrying out pre-analysis on a flight operation efficiency under a current airspace service capability, to position a key problem airspace and generate a capacity expansion suggestion of the related airspace; and aims at improving the flight operation efficiency by expanding the airspace service capability, and providing technical support for a user to carry out analysis and optimization work of national airspace network problems at a strategic level.

Airspace network optimization method based on flight normality target

A multi-dimensional flight release efficiency evaluation method. The method comprises: obtaining air flow control production and operation data which mainly comprises airspace capacity information, flight scheduling basic information, flight four-dimensional trajectory information and the like through a business information comprehensive processing platform, identifying a flight object affected by flow control and a flight object restricted by flow control through processing the operation data, analyzing a flight release time-hopping degree, calculating flight release delay distribution, evaluating controlled flight release fairness, predicting a controlled flight release normal rate, comparing airspace flow capacity matching situations, establishing a multi-dimensional flight release efficiency evaluation index set, and visually displaying evaluation indexes in modes of list, histogram, line chart, radar chart and the like.

Multi-dimensional flight release efficiency evaluation method

A time-space conversion method of flight sequencing information aims to solve a problem that a flight sequencing suggestion generated by an arrival management system has poor effect in practical application due to abstract characteristics, comprising: generating a sequencing time and a delay suggestion of a flight in each key point in a terminal area and each runway by using a flight sequencing technology; predicting a flight status of the flight according to a current position and 4D trajectory information of the flight, and filtering a delay-consumed flight segment, and on that basis, generating a flight segment delay allocation strategy with reference to an aircraft performance and sequencing information, and obtaining a flight segment delay allocation result; and generating a visual spatial position reference target according to the flight segment delay allocation result and an operation deviation limit.

Time-space conversion method of flight sequencing information

A flight trajectory multi-objective dynamic planning method, which belongs to the field of air traffic management, comprises: acquiring a route network structure, a flight segment length, flight level configurations of each flight segment and flow control information in an available airspace of a flight first, establishing a flight trajectory multi-objective dynamic planning model by taking a minimum fuel consumption, a shortest flight time and a minimum number of flight level changes as objectives, further designing a solving algorithm of the flight trajectory multi-objective dynamic planning model, and finally solving the model to form a plurality of strategies of flight trajectory multi-stage decision.

Flight trajectory multi-objective dynamic planning method

A flight pushback state monitoring method based on multi-modal data fusion comprises: 1, constructing a control intention recognition rule, and recognizing a pushback intention from a control instruction sent by a controller; 2, constructing a flight intention recognition model, extracting an aircraft action from a real-time monitoring video, and capturing a flight intention; and 3, constructing an intention alignment fusion rule, and judging whether control intention information conflicts with flight intention information; by fusing the control intention and the flight intention, the method can realize the following auxiliary functions: timely judging whether the aircraft follows the pushback instruction sent by the controller, if a captain does not act according to the control instruction or acts arbitrarily without a control instruction, giving an inconsistent alarm, and a function of monitoring the flight pushback state is implemented.

Flight pushback state monitoring method based on multi-modal data fusion

Growing community of inventors

Nanjing, China

Jibo Huang