Air traffic controller training effect intelligent evaluation method and device

An air traffic and evaluation method technology, applied in the field of air traffic control, can solve the problems of difficult manual implementation process, randomness of manual judgment conclusions, unscientific evaluation standards, etc.

Pending Publication Date: 2021-02-05
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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AI Technical Summary

Problems solved by technology

[0018] The purpose of the present invention is to provide an intelligent evaluation method for the training effect of control traffic controllers, which is used to replace the role of teachers, and is used to solve the problems of insufficient teachers, difficult manual implementation process and large randomness of manual judgment conclusions. Solve the technical problems that the traditional judging criteria are unscientific

Method used

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  • Air traffic controller training effect intelligent evaluation method and device
  • Air traffic controller training effect intelligent evaluation method and device
  • Air traffic controller training effect intelligent evaluation method and device

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Embodiment 2

[0187] Based on the same inventive concept as that of an air traffic controller training effect intelligent evaluation method in the foregoing embodiment, the air traffic controller training effect intelligent evaluation device utilizes a programming environment based on python3.6 and Tensorflow2.3.0 to establish a neural network content include:

[0188] The first neural network establishment module is used to establish the first neural network, and the input layer of the first neural network includes N input nodes and 5 output nodes;

[0189] Each of the input nodes is in one-to-one correspondence with each secondary index; the secondary index refers to an index used to evaluate the operation of the control work, and any operation in the control work corresponds to at least one of the secondary indicators in all the secondary indicators ; The second-level indicators are selected from the evaluation indicators of multiple regional air traffic management bureaus using the DeFi...

Embodiment 3

[0195] Based on the same inventive concept as that of an air traffic controller training effect intelligent evaluation method in the foregoing embodiment, the present invention also provides an exemplary electronic device, an air traffic controller training effect intelligent evaluation device, including a memory, a processor and a storage device. A computer program on a memory and operable on a processor, and the processor implements the steps of the method for intelligently evaluating the training effect of air traffic controllers when executing the program.

[0196] The above-mentioned one or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects: solve the problems of shortage of teachers, difficulty in manual implementation process, and randomness of manual judgment conclusions, and at the same time solve the problems of Traditional judging criteria are not scientific technical issues.

[0197] T...

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Abstract

The invention provides an air traffic controller training effect intelligent evaluation method and device. According to the method, an air traffic controller training effect evaluation index set is established for the first time, and the index set is established for the first time in China. A first neural network is established, wherein an input layer of the first neural network comprises N inputnodes and 5 output nodes; each input node is in one-to-one correspondence with each secondary index; each output node is in one-to-one correspondence with each primary index; experiment data of a controller on the analog machine are obtained andthe number of each secondary index corresponding to the experiment data is obtained, the number is taken as an input layer of a first neural network, and scores of five output values corresponding to five primary indexes are calculated by utilizing the first neural network; defuzzification is carried out on the output value by utilizing a fuzzy mathematical method to obtain a score; whether the score is adopted or not is judged, and a scoring result is output if the score is adopted; otherwise, the five first-level indexes are manually scored again,and the first neural network is updated by taking the corresponding experimental data and a re-scored result as a group of training data.

Description

technical field [0001] The invention relates to the field of air traffic control, and in particular provides an intelligent evaluation method for the training effect of air traffic controllers. Background technique [0002] Air traffic control refers to the provision of air traffic services for civil aircraft in flight by air traffic controllers on the ground, including air traffic control services, flight information services and warning services. [0003] According to (CCAR-66TM-I-R4) "Civil Aviation Air Traffic Controller Licensing Regulations" (hereinafter referred to as "rules"), applicants for controller licenses should have a considerable amount of professional knowledge and skills, as well as actual Relevant work experience required. [0004] The above-mentioned "rules" stipulate that: when carrying out control basic simulator training on-board training, the ratio of basic training instructors to trainees shall not be less than half. [0005] According to the stati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/20G06N3/08G06N3/04
CPCG06Q10/06393G06Q50/2057G06N3/08G06N3/045G06N3/048
Inventor 沈志远冯铮陈章齐
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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