A Timeline Visualization Framework for Task Scheduling

Timeline visualization is one of the most important features of the scheduling platform of space missions. This paper proposes a visualization framework that supports various time-dependent data categories. To adapt variable data sources and viewing requirements, a data-method separation mechanism is designed, providing optional drawing methods and visual templates for corresponding data. The drag-and-drop service and linkage mechanism are designed for simplifying time based scheduling element operations. For performance optimization, a series of data cropping and resampling methods are proposed. As an open and tunable visualization solution, this framework constitutes a fundamental environment of task scheduling visualization and fulfill the requirements of space mission scheduling.