An optimization modeling method for multi-type vehicle-mounted equipment observation task joint scheduling problems

Abstract

The invention relates to the technical field of modeling, and discloses an optimization modeling method for multi-type vehicle-mounted equipment observation task joint scheduling problems. The methodis characterized by including the following steps: a, determining known data; b, selecting the optimized independent variable; c, determining optimization constraints; d, selecting optimization indicators. Through construction of a mathematical model with ingenious structure and strong expansibility, the above-mentioned joint scheduling problem of observation tasks is transformed into an optimization problem, which creates conditions for the effective solution of the problem.

Description

technical field [0001] The invention relates to the technical field of modeling, in particular to an optimal modeling method for the joint scheduling problem of multi-type vehicle-mounted equipment observation tasks. Background technique [0002] The present invention relates to a type of ground vehicle measuring equipment (hereinafter referred to as equipment). This type of equipment is deployed at a specific ground station. In a short time interval when a space object is over the top, the equipment can observe it. The time interval It is called the observation window of the equipment to the space object (the calculation of the observation window involves the motion characteristics and photoelectric characteristics constraints that the equipment working mechanism and the space object need to satisfy. This problem is not the focus of the present invention, and will not be repeated here). The equipment can move along the road with the vehicle, and go back and forth between th...

AI Technical Summary

Problems solved by technology

[0007] Since it involves the mapping relationship between equipment, stations and targets, and needs to take into account the constraints of preparation time and remaining number of observations, the core of the problem is complex and the dimensions diverge very quickly, so it is difficult to use traditional mathematical models to solve it

At the same time, it should be pointed out that since the observation windows of different types of equipment cannot be used in common, the total number of observation windows will double for each additional type of equipment, which further increases the difficulty of solving the problem, and a more appropriate mathematical model must be established

Images