US 2022/0036743 A1 · LOW-ALTITUDE AIR ROUTE PLANNING AND DESIGN METHOD, DEVICE AND STORAGE MEDIUM WITH MULTI-OBJECTIVE CONSTRAINTS

Abstract

The application discloses a low-altitude air route planning and design method, device and storage medium for UAV with multi-objective constraints. First of all, initial air route points and air route network are set based on the urban low-altitude demand, then constraints such as conflict constraints, three zones constraints, and traffic demand constraints are introduced, the optimal multi-objective function such as the airspace capacity, operation cost, operation safety and so on is realized by moving air route points and reconstructing air route network, and the low-altitude air route networks of corresponding UAV is designed for different low-altitude environments.

Claims17

Dependent claims

A low-altitude air route planning and design method for UAV with multi-objective constraints, comprising the following steps:

step 1:
determining an action region of air route network;
step 2:
determining an effective airspace within the region;
step 3:
extracting an urban contour in the effective airspace of the region;
step 4:
constructing nodes in the urban contour;
step 5:
building an air route connecting side to form the initial air route network;
and
step 6:
introducing constraint conditions, determining multi-objective function, and optimizing the center positions and the connecting sides of UAVs to build an optimal air route network that meets the constraint conditions and achieves the optimal multi-objective function.

10 more elements

A low-altitude air route planning and design device for UAV with multi-objective constraints, wherein the device comprises:

a first processor, configured to determine an action region of air route network;
a second processor, configured to determine an effective airspace within the region;
a third processor, configured to extract an urban contour in the effective airspace of the region;
a fourth processor, configured to construct nodes in the urban contour;
a fifth processor, configured to build an air route connecting side to form the initial air route network;
and
a sixth processor, configured to introduce constraint conditions, determine multi-objective function, and optimize the center positions and the connecting sides of UAVs to build an optimal air route network that meets the constraint conditions and achieves the optimal multi-objective function.

4 more elements

Dependencies are inferred from the claim text.

Low-altitude air route planning and design method, device and storage medium with multi-objective constraints

Life of this patent

Low-altitude air route planning and design method, device and storage medium with multi-objective constraints

Life of this patent

Abstract

Claims17