Method for parallelizing preprocessing of tasks of imaging satellites on basis of Spark

Abstract

The invention discloses a method for parallelizing preprocessing of tasks of imaging satellites on the basis of Spark. The method includes steps of A, parallelly designing orbit prediction, decomposing each large-scale observation task into a plurality of small tasks and independently fulfilling each small task; B, parallelly implementing orbit prediction. The satellites are independent from one another, or task preprocessing of each satellite on the optional single task is independent for solving problems in the aspect of preprocessing of the large-scale observation tasks of the satellites, and the problems can be decomposed by means of distributed parallel computation. The method has the advantages that the integral computation time for preprocessing the tasks can be saved, and the computation efficiency can be greatly improved.

Description

technical field [0001] The invention relates to the technical field of imaging satellite task preprocessing, in particular to a Spark-based parallel method for imaging satellite task preprocessing. Background technique [0002] The preprocessing problem of imaging satellite mission planning comes from the workflow of imaging satellite. The workflow of imaging satellites can be briefly described as follows: (1) Receive observation requirements from users; (2) According to the characteristics of satellite resources, preprocess user requirements to obtain standard planning input; (3) Combine ground stations and satellites Using constraints, according to a specific optimization algorithm, plan and schedule the input tasks to obtain a task scheduling plan; (4) plan and arrange the generated task scheduling plan and generate instructions, and inject the control instructions to the satellite through the ground station, and the satellite The command is executed for imaging and data...

AI Technical Summary

Problems solved by technology

[0008] (1) Calculation speed is too slow: Taking the preprocessing scenario of general small-strip division of satellites to regional targets as an example, it takes 300 seconds for 1 satellite to divide 100 tasks into strips, and 100 satellites to 100 tasks The striping takes about 30000 seconds, or 8.333 hours

The mission planning cycle is generally 1 day, so in the face of such a large-scale satellite observation mission scenario, the existing preprocessing methods cannot meet the engineering requirements in terms of time

[0009] (2) The calculation logic is messy: the calculation modules in the preprocessing method have logical dependencies, for example, the calculation of the time prediction of the satellite entering and leaving the earth shadow requires the orbit prediction result of the satellite

But when the number of satellites is large, the use of existing preprocessing methods will inevitably lead to messy calculation logic

Images