Air traffic control equipment application system and method based on knowledge graph

Abstract

The invention discloses an air traffic control equipment application system and method based on a knowledge graph, and belongs to the field of air traffic management. The problems that in the prior art, an equipment monitoring system is relatively closed, the integration level is low, and interconnection and intercommunication are affected are solved. The invention provides an air traffic controlequipment knowledge graph application system. The air traffic control equipment knowledge graph application system comprises a data source layer, an atlas layer, an algorithm layer and an applicationlayer, the data source layer is used for importing air traffic control equipment data; the atlas layer is used for extracting, storing and mining the data of the data source layer to generate an equipment knowledge atlas; the algorithm layer is constructed on the map layer and used for connecting the map layer and the application layer, and algorithms are flexibly selected according to applicationrequirements; the application layer analyzes and processes the knowledge graph by using a corresponding algorithm to realize an application function; The method is applied to a system. According to the method and the system, an equipment link is routed, global data consistency is maintained, equipment reliability and safety are further improved, and an air traffic control equipment knowledge network is formed.

Description

technical field [0001] The present invention relates to the field of air traffic management, and more specifically, to an air traffic control equipment application system and method based on a knowledge map. Background technique [0002] A knowledge graph is a data model used to build a huge "knowledge" network. The knowledge map contains "entities" composed of everything in the world and the "relationships" between them. It uses visualization technology to display the "attributes" of all aspects of knowledge, aiming to describe the entities that exist in the real world and the relationships between entities. With the vigorous development of artificial intelligence, cognitive intelligence is considered to be the focus of future AI development, and knowledge graphs are considered to be an important cornerstone of cognitive intelligence. The knowledge map digitizes the equipment link, establishes the association relationship of each data in the equipment management, maintains...

AI Technical Summary

Problems solved by technology

However, each industry (field) has its own characteristics. Some industries have strong barriers and complex knowledge structures. Knowledge graphs should be established in line with their own characteristics. This is the case for the air traffic control industry.

For the air traffic control industry with complex information links and strict safety requirements, with the continuous development of the air traffic control industry and the continuous advancement of digitalization, the types and quantities of facilities and equipment continue to increase, and the single-point operation and maintenance capabilities are not enough to meet daily operations. Protection needs

[0004] In reality, since air traffic control equipment and information systems involve multiple manufacturers, equipment types are diverse, equipment links are complex, and intermediate equipment changes frequently, it requires a lot of labor costs to update and maintain the topology map

Moreover, the interfaces of various equipment suppliers are different. Most of the equipment is relatively closed and cannot provide equipment interfaces, resulting in centralized monitoring and management of equipment status.

In addition, the equipment link is complex, and it is difficult to find the fault point of the disabled link and troubleshoot it in time only by manual work; the zero firmware of some equipment near the end of life is difficult to troubleshoot, burying potential safety hazards, and cannot meet the high-standard security requirements

Finally, different types and models of equipment have their own unique standards and guidelines, which brings difficulties to maintenance personnel

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