Intelligent command system for air traffic control

Abstract

The invention relates to an intelligent command system for air traffic control. The system comprises a monitoring data processing module, a flight plane data processing module which is in a communication connection with the monitoring data processing module, a 4D flight track prediction module which is in a communication connection with the monitoring data processing module and the flight plan data processing module, a short-term and mid-term conflict detection module which is in a communication connection with the monitoring data processing module, the flight plane data processing module and the 4D flight track prediction module, as well as a conflict solution calculation module which is in a communication connection with the flight plane data processing module, the short-term and mid-term conflict detection module. The system provided by the invention has the advantages that automatic control of aircrafts can be implemented in an existing airspace environment; and a probability for human factors to cause occurrence of unsafe events can be reduced.

Description

technical field [0001] The invention relates to a civil aviation control technology, in particular to an intelligent command system for air traffic control. Background technique [0002] In the face of the continuous and rapid development of the modern aviation industry and the rapid growth of air traffic, the operation method of formulating control and command plans based on human brain calculation has already exposed shortcomings and drawbacks in operation: due to the controller's unconscious "mistakes and omissions" Control unsafe events that lead to flights smaller than the specified safe interval have become one of the most important reasons for restricting the safe operation of air traffic control; the quality of control services provided based on the controller's own judgment and deployment ability is gradually showing a downward trend, which is exactly the same as the flow rate. The growth is inversely proportional; there are indeed individual differences in skills a...

AI Technical Summary

Problems solved by technology

[0002] In the face of the continuous and rapid development of the modern aviation industry and the rapid growth of air traffic, the operation method of formulating control and command plans based on human brain computing has long exposed its shortcomings and drawbacks: due to the unconscious "errors, forgetting and omissions" of controllers, Control unsafe incidents that cause flights to be less than the specified safety interval have become one of the most important reasons restricting the safe operation of air traffic control; the quality of control services provided by the controllers based on their own judgment and deployment capabilities is gradually showing a downward trend, which coincides with the traffic flow The growth is inversely proportional; there are indeed individual differences in skills and qualities between controllers and controllers, which makes it impossible to maintain control services within a relatively fixed scale and standard for a long time

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