基于MBSE的空间引力波探测系统指标管理及其探测灵敏度分析

doi:10.11996/JG.j.2095-302X.2024020259

图学学报 ›› 2024, Vol. 45 ›› Issue (2): 259-267.DOI: 10.11996/JG.j.2095-302X.2024020259

• 数字化设计与制造专刊 • 上一篇下一篇

基于MBSE的空间引力波探测系统指标管理及其探测灵敏度分析

朱伊明¹^,²(), 张玉珠¹(), 陈斌¹, 彭晓东¹, 高辰¹, 刘宇¹^,²^,⁴, 唐文林¹, 强丽娥¹, 徐鹏³, 罗子人³

1.中国科学院国家空间科学中心，北京 100190
2.中国科学院大学计算机学院，北京 100049
3.中国科学院力学研究所，北京 100190
4.国科大杭州高等研究院，浙江杭州 310024

收稿日期:2024-02-03 修回日期:2024-03-05 出版日期:2024-04-30 发布日期:2024-04-29
通讯作者: 张玉珠(1983-)，女，副研究员，博士。主要研究方向为复杂系统仿真和基于模型的系统工程。E-mail：zhangyuzhu@nssc.ac.cn
作者简介:朱伊明(2000-)，男，硕士研究生。主要研究方向为基于模型的系统工程。E-mail：zhuyiming221@mails.ucas.ac.cn
基金资助:
民用航天技术预研项目(D020101)

Space gravitational wave detection parameter management and performance analysis based on MBSE

ZHU Yiming¹^,²(), ZHANG Yuzhu¹(), CHEN Bin¹, PENG Xiaodong¹, GAO Chen¹, LIU Yu¹^,²^,⁴, TANG Wenlin¹, QIANG Li’e¹, XU Peng³, LUO Ziren³

1. National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
2. School of Computer Science, University of Chinese Academy of Sciences, Beijing 100049, China
3. Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
4. Hangzhou Institute for Advanced Study, UCAS, Hangzhou Zhejiang 310024, China

Received:2024-02-03 Revised:2024-03-05 Online:2024-04-30 Published:2024-04-29
Contact: ZHANG Yuzhu (1983-), associate researcher, Ph.D. Her main research interests cover complex system simulation and model-based system engineering. E-mail：zhangyuzhu@nssc.ac.cn
About author:ZHU Yiming (2000-), master student. His main research interest covers model-based system engineering. E-mail：zhuyiming221@mails.ucas.ac.cn
Supported by:
Pre-research Project on Civil Aerospace Technologies of CNSA(D020101)

摘要/Abstract

摘要：

为了将空间引力波探测系统论证过程中顶层指标分解与系统级性能分析过程动态关联，提供对空间科学任务全生命周期信息的管理与应用分析能力，提出了基于模型的系统工程(MBSE)的空间引力波探测系统指标管理及其探测灵敏度分析方法。通过系统建模语言(SysML)构建空间引力波探测系统指标参数模型，并解析模型内容，筛选和记录指标参数，最后，通过探测灵敏度这一评价空间引力波探测系统探测能力的主要标准，实现空间引力波探测系统对不同科学目标的探测性能分析。结果表明，该方法可统一管理和追溯所有指标内容，为空间引力波探测系统顶层指标论证和系统级性能评价提供了支持。

关键词: MBSE, SysML, 模型解析, 引力波, 探测灵敏度

Abstract:

In order to dynamically associate the decomposition of top-level parameters with the analysis of system-level performance in the space gravitational wave detection system, and to provide management and application analysis capabilities for the entire lifecycle information of space science tasks, a model-based system engineering (MBSE) method for managing parameters and analyzing detection performance in space gravitational wave detection systems was proposed. Parameter models for space gravitational wave detectors were constructed using the system modeling language (SysML), enabling the analysis of model content and recording of parameters after screening. Finally, an analysis was conducted on the detection performance of the space gravitational wave detection system for different scientific targets through detection sensitivity, which served as the main criterion for evaluating the detection ability of the system. The results demonstrated that the proposed method can enable the uniform management and tracing of all parameter contents, thereby supporting the demonstration of top-level parameters and the evaluation of system-level performance in the space gravitational wave detection system.

Key words: MBSE, SysML, model analysis, gravitational waves, detection sensitivity

中图分类号:

TP391

朱伊明, 张玉珠, 陈斌, 彭晓东, 高辰, 刘宇, 唐文林, 强丽娥, 徐鹏, 罗子人. 基于MBSE的空间引力波探测系统指标管理及其探测灵敏度分析[J]. 图学学报, 2024, 45(2): 259-267.

ZHU Yiming, ZHANG Yuzhu, CHEN Bin, PENG Xiaodong, GAO Chen, LIU Yu, TANG Wenlin, QIANG Li’e, XU Peng, LUO Ziren. Space gravitational wave detection parameter management and performance analysis based on MBSE[J]. Journal of Graphics, 2024, 45(2): 259-267.

图/表 11

图1 基于MBSE的指标管理和性能分析流程

Fig. 1 Process of parameters management and performance analysis based on MBSE

图2 顶层指标块定义图

Fig. 2 Top level parameters block definition diagram

图3 单程测距噪声指标块定义图

Fig. 3 One-way distance measurement noise parameters block definition diagram

图4 残余加速度噪声指标块定义图

Fig. 4 Residual acceleration noise parameters block definition diagram

图5 空间引力波指标参数模型追溯矩阵

Fig. 5 Traceability matrix of parameter models for space gravitational wave detector

图6 SysML模型解析流程

Fig. 6 SysML model analysis process

表1 SysML模型与XML文档映射关系

Table 1 SysML model and XML document mapping relationship

标签名	含义	关键属性
<packagedElement>	元素定义标签。所有参数指标的名称和唯一标识符通过该标签记录	name名称； xmi:id 唯一标识符
<ownedAttribute>	特征属性标签。记录Block的特征属性。指标值和指标之间的层级关系通过该标签记录	name名称； type 组成属性所属的Block唯一标识符
<sysml:Block>	模块标签。记录所有指标参数的唯一标识符，用于定位对应的元素定义标签	base_Class引用元素的唯一标识符
<defaultValue>	值属性默认值标签。指标参数分配的指标值和对应单位通过该标签记录	xmi:type单位； value指标值

图7 指标树格式

Fig. 7 Parameter tree format

图8 可视化指标树示例

Fig. 8 Example diagram of visual parameter tree

图9 不同臂长的灵敏度曲线与引力波源关系图

Fig. 9 Sensitivity curves of different arm lengths and gravitational wave source relationship diagram

表2 转移频率的多项式系数

Table 2 Polynomial coefficients of the transition frequencies

转移频率	a_k	b_k	c_k
f₀	2.974 0×10^-1	4.481 0×10^-2	9.556 0×10^-2
f₁	5.941 1×10^-1	8.979 4×10^-2	1.911 1×10^-1
f₂	5.080 1×10^-1	7.751 5×10^-2	2.236 9×10^-2
f₃	8.484 5×10^-1	1.284 8×10^-1	2.729 9×10^-1

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基于MBSE的空间引力波探测系统指标管理及其探测灵敏度分析

Space gravitational wave detection parameter management and performance analysis based on MBSE

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