Airport operation core area monitoring and early warning system and method based on visual self-supervised learning

Abstract

The invention discloses an airport operation core area monitoring and early warning system and method based on visual self-supervised learning, and the system comprises a central data processing module and a panoramic tracking collection unit, and the panoramic tracking collection unit comprises a panoramic video collection sensor and a tracking image collection sensor; the central data processing module is internally provided with a self-supervised learning model, a pre-warning model and a sample database, an ultrahigh obstacle database in the pre-warning model comprises a tower structure mark data set and a building mark data set, and the central data processing module establishes a core clearance protection area coordinate map model. According to the invention, video or image acquisition is carried out on an airport operation core area to obtain core clearance protection area data, and tower-type structures and buildings of the core clearance protection area data are identified in a core clearance protection area coordinate map model to obtain tower-type structure change data and building change data; automatic real-time monitoring of height exceeding of an airport operation core area is realized, and timely alarm is facilitated.

Description

technical field [0001] The invention relates to the field of airport operation core clearance protection area management, in particular to a monitoring and early warning system and method for the airport operation core area based on visual self-supervision learning. Background technique [0002] In recent years, the phenomenon of super high buildings or super high tower structures has frequently occurred in the core area of ​​the airport clearance, which has brought great interference to the take-off and landing of aircraft at the airport, and the follow-up processing is troublesome due to the untimely detection, and the processing time will also occur. length and impact. According to the actual business needs of the airport flight area, it is necessary to monitor tower structures and buildings in the most core clearance protection area (within a radius of 5 kilometers) around the airport. Generally, the current monitoring is mainly manual inspection, and its workload is rel...

AI Technical Summary

Problems solved by technology

[0002] In recent years, super-high buildings or super-high tower structures have frequently appeared in the core area of ​​the airport clearance, which has brought huge interference to the take-off and landing of airport aircraft, and the follow-up processing is troublesome due to untimely detection, and processing time will also occur long-term, high-impact issues

According to the actual business needs of the airport flight area, it is necessary to monitor the tower structures and buildings in the core clearance protection area (within a radius of 5 kilometers) around the airport. Generally, the current monitoring is mainly manual inspection, and the workload is relatively large. The basis for its judgment is also not very objective. How to realize real-time monitoring of new tower structures or buildings, push notifications to relevant stakeholders, and capture evidence to facilitate timely communication and disposal by operation management personnel in the airport terminal area, and minimize excessive High impact on the operation of airport aircraft, reducing the current manual inspection workload, is the technical difficulty of the core clearance protection management of the current airport operation

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