Low-Altitude Airspace Planning and Safety Management
Low-Altitude Airspace Planning and Safety Management
The secondary discipline "Low-Altitude Airspace Planning and Safety Management" is established by Beijing Institute of Petrochemical Technology in response to the capital's strategic emerging and future industry needs. It contributes to the university's mission of building a premier training ground for engineers in the new era's model capital and accelerating the development of a distinctive, high-level application-oriented university. Developed on the basis of promoting interdisciplinary integration in areas such as "Artificial Intelligence+," "+Safety and Emergency Response," and green low-carbon development, this discipline focuses on the scientific planning and intelligent management of low-altitude airspace resources. It integrates theories and methodologies from multiple disciplines, including Control Science and Engineering, Communication and Information Systems, Computer Science, Transportation Engineering, and Management Science and Engineering. It aims to breakthrough key technologies in areas such as flight vehicle systems, flight control, air-ground coordination, and data acquisition and intelligent decision-making, to achieve multi-objective coordinated operation focusing on "efficiency, safety, and sustainability" in the low-altitude economy. The program cultivates high-level, application-oriented, interdisciplinary, and engineering talents capable of independently conducting research and development in low-altitude airspace planning and safety management and related fields, serving national low-altitude industry development.
This discipline focuses on the air-ground coordination technologies and intelligent decision-making methods required for the safe, efficient, and green navigation of low-altitude aircraft under complex conditions. Leveraging advanced fusion perception and intelligent connectivity technologies, it enables multi-source, multi-modal data and information acquisition and analysis between aircraft and air-ground infrastructure, and constructs intelligent decision-making systems for resource allocation and safety management. Research primarily centers on three directions: Intelligent Analysis of Multi-Source and Multi-Modal Data in Low-Altitude Airspace, Intelligent Planning and Management Decision-Making for Low-Altitude Airspace, and Dynamic Safety Assessment and Assurance Technologies for Low-Altitude Airspace.
(1) Intelligent Analysis of Multi-Source and Multi-Modal Data in Low-Altitude Airspace
Addressing the massive, multi-source, multi-modal data and global, multi-dimensional dynamic traffic flow perception data obtained from various low-altitude application scenarios, this research comprehensively employs advanced technologies such as distributed fusion perception, multi-source heterogeneous data processing, and digital simulation. It investigates multi-sensor fusion perception for low-altitude navigation and low-altitude digital simulation, aiming to achieve integrated management of real-time status monitoring, dynamic airspace resource allocation, coordinated traffic flow scheduling, and risk warning and emergency response during low-altitude operations. It develops an integrated intelligent processing system platform for multi-source data, supporting needs such as intelligent navigation and safety control for low-altitude vehicles.
(2) Intelligent Planning and Management Decision-Making for Low-Altitude Airspace
Addressing the needs for intensive, refined, and scientific management of low-altitude airspace in complex environments, this direction conducts research on key technologies including airspace structure modeling for megacities, flight corridor path optimization, and capacity assessment and risk warning. It performs evaluation and real-time prediction of airspace capacity and diversified airspace usage demands. With objectives such as collaborative operational efficiency, system resilience, and energy consumption, it constructs multi-agent collaborative decision-making optimization models for low-altitude resource allocation. It develops intelligent algorithms and decision support systems to achieve dynamic allocation and real-time scheduling of low-altitude resources. By establishing an intelligent, dynamic, and collaborative low-altitude airspace management methodology, it serves the development of the urban low-altitude economy.
(3) Low-Altitude Airspace Safety Dynamic Assessment and Assurance Technology
Addressing safety challenges in low-altitude airspace, this research constructs a full-process, high-efficiency, and intelligent urban low-altitude safety control system spanning hazard monitoring, risk assessment, and warning and response. It dynamically monitors, supervises, and warns against risks that may be encountered during low-altitude flights, such as sudden weather changes, flight conflicts, and equipment failures. This enables safer and more efficient applications in scenarios like low-altitude logistics and low-altitude emergency rescue.