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卫星星座健康状态管理文档的自动生成方法

米琳^1,2, 李子扬^1,2, 李晓辉^1,2, 朱家佳^1,2, 窦帅^1,2, 张静^1,2, 苑馨方^1,2, 李传荣^1,2

(1.中国科学院空天信息创新研究院, 北京 100094;2.中国科学院定量遥感信息技术重点实验室, 北京 100094)

Automatic Generation Method for Health Management Document of Satellite Constellation

MI Lin^1,2, LI Zi-Yang^1,2, LI Xiao-Hui^1,2, ZHU Jia-Jia^1,2, DOU Shuai^1,2, ZHANG Jing^1,2, YUAN Xin-Fang^1,2, LI Chuan-Rong^1,2

(1.Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;2.Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China)

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本文已被：浏览 1088次下载 2143次
Received:February 16, 2021 Revised:March 19, 2021

中文摘要: 针对卫星星座健康状态管理文档涉及多项遥测参数的查询和计算、文档格式要求严格、编制工作量巨大、人工耗时较长的问题, 提出了一种卫星星座健康状态管理文档自动生成方法. 通过对文档中所含的基本数据类型进行归类分析, 制定配置文件存储规则, 对文档模板进行自定义设置, 并应用文档自动生成算法, 利用文档模板及相关参数生成数据汇总文档. 该方法能够实现文档编制过程中的知识复用和通用内容生成, 建立规范有效的文档编制流程.

中文关键词: 健康状态管理文档自动生成自定义模板数学模型数据填充

Abstract:The satellite constellation which have strict format and involve query and calculation of multiple telemetry parameters. In order to solve the problem of large workload and long time consuming in preparing health management documents of satellite constellation, a method of document automatic generation is proposed. By classifying and analyzing the basic data types of the document, making the configuration file storage rules, customizing the document templates, and applying the automatic document generation algorithm to translate the document template into data-gathering documents, the knowledge reuse and general content generation in the process of document preparation are realized. The standard and effective document preparation process is established.

keywords: health management document automatic generation custom templates mathematic model data filling

文章编号： 中图分类号： 文献标志码：

基金项目:中国科学院战略性先导科技专项(A类)鸿鹄专项(XDA17040303)

Author Name	Affiliation	E-mail
MI Lin	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
LI Zi-Yang	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
LI Xiao-Hui	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
ZHU Jia-Jia	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
DOU Shuai	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
ZHANG Jing	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
YUAN Xin-Fang	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
LI Chuan-Rong	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China	crli@aoe.ac.cn

Author Name	Affiliation	E-mail
MI Lin	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
LI Zi-Yang	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
LI Xiao-Hui	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
ZHU Jia-Jia	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
DOU Shuai	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
ZHANG Jing	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
YUAN Xin-Fang	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
LI Chuan-Rong	Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China	crli@aoe.ac.cn

引用文本：
米琳,李子扬,李晓辉,朱家佳,窦帅,张静,苑馨方,李传荣.卫星星座健康状态管理文档的自动生成方法.计算机系统应用,2021,30(12):139-146
MI Lin,LI Zi-Yang,LI Xiao-Hui,ZHU Jia-Jia,DOU Shuai,ZHANG Jing,YUAN Xin-Fang,LI Chuan-Rong.Automatic Generation Method for Health Management Document of Satellite Constellation.COMPUTER SYSTEMS APPLICATIONS,2021,30(12):139-146