Intelligent Planning Framework for Star-Walk Mission Based on Multimodal Observation Requirements Information

Guangxi ZHU; Gang WANG; Chao ZHANG; Yingte CHAI; Wei FU; Zhengqiang GUO

doi:10.11959/j.issn.2096-8930.2022028

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Intelligent Planning Framework for Star-Walk Mission Based on Multimodal Observation Requirements Information

Special Issue: Intelligent+Satellite Internet | 更新时间：2024-06-03

- Intelligent Planning Framework for Star-Walk Mission Based on Multimodal Observation Requirements Information
- Space-Integrated-Ground Information Networks Vol. 3, Issue 3, Pages: 23-29(2022)
- 作者机构：
  
  1. 中国电子科技集团有限公司航天信息应用技术重点实验室，河北石家庄 050081
  2. 中国电子科技集团有限公司第五十四研究所，河北石家庄 050081
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-8930.2022028
  CLC： V19
- Published Online：2022-09，
  
  Published：20 September 2022
- 稿件说明：
移动端阅览
Guangxi ZHU, Gang WANG, Chao ZHANG, et al. Intelligent Planning Framework for Star-Walk Mission Based on Multimodal Observation Requirements Information[J]. Space-integrated-ground information networks, 2022, 3(3): 23-29.
DOI：

Guangxi ZHU, Gang WANG, Chao ZHANG, et al. Intelligent Planning Framework for Star-Walk Mission Based on Multimodal Observation Requirements Information[J]. Space-integrated-ground information networks, 2022, 3(3): 23-29. DOI： 10.11959/j.issn.2096-8930.2022028.

摘要

结合星群观测任务快速智能规划需求和智能快速任务规划相关研究现状，基于应急抢险提交上报过程中常见的语音、文本等多模态观测需求的特点，设计基于多模态观测需求信息的星群观测任务快速智能规划机制。重点解决多模态需求信息的智能解译识别、区域观测任务全要素筹划和复杂应急任务动态高效规划3个面向未来应急抢险应用需求的关键问题，充分利用深度学习的方法，打通观测需求、资源筹划和任务规划3个主体间的自动化流程，实现应急观测需求智能解译、资源智能决策、方案智能生成。最终实现快速协调调动航天观测资源，并在指定时间内执行应急观测任务，充分发挥天基信息资源综合效能的目标，为联合应急抢险任务行动部署提供观测信息支撑。

Abstract

Combined with the current requirement and research for rapid intelligent planning of star-walk observation mission

and a framework based on multimodal observation requirements such as voice and text was designed.The framework aimed to satisfied the requirements and focued on breaking through three key issues for future emergency rescue applications: multimodal requirement interpretation

full-elements resource coordination and complex emergency missions planning

and to open the automatic link between observation requirement

resource planning and mission planning by making full use of deep learning methods.On these bases

the framework had the ability to provided rapid remote sensing observation information with a specified time and made full play to the comprehensive eff ectiveness of remote sensing information resources.

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Keywords

references

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