基于空闲资源碎片整合的测控数传一体化资源调度算法

doi:10.12305/j.issn.1001-506X.2026.06.16

系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (6): 1946-1964.doi: 10.12305/j.issn.1001-506X.2026.06.16

基于空闲资源碎片整合的测控数传一体化资源调度算法

周晨宇¹^,²(), 张超¹^,²^,*(), 李聪³

1. 西安交通大学信息与通信工程学院，陕西西安 710048
2. 陕西省深空探测智能信息技术重点实验室，陕西西安 710048
3. 空间微波通信全国重点实验室，陕西西安 710100

收稿日期:2025-03-28 修回日期:2025-06-04 出版日期:2026-06-25 发布日期:2026-03-20
通讯作者: 张超 E-mail:3123352001@stu.xjtu.edu.cn;chaozhang@mail.xjtu.edu.cn
作者简介:周晨宇（2001—），男，硕士研究生，主要研究方向为航天任务智能规划与优化调度
李　聪（1988—），男，高级工程师，博士，主要研究方向为卫星通信系统设计与资源智能管控
基金资助:
国家自然科学基金（62231010）；陕西省重点研发计划资助项目（YBGY-251）；国家重点实验室基金（2024-CXPT-GF-JJ-013）资助课题

Integrated resource scheduling algorithm for telemetry, tracking and control and data transmission based on idle resource fragmentation integration

Chenyu ZHOU¹^,²(), Chao ZHANG¹^,²^,*(), Cong LI³

1. School of Information and Communications Engineering，Xi’an Jiaotong University，Xi’an 710048，China
2. Shaanxi Key Laboratory of Intelligent Information Technology for Deep Space Exploration，Xi’an 710048，China
3. National Key Laboratory of Space Microwave Communications，Xi’an 710100，China

Received:2025-03-28 Revised:2025-06-04 Online:2026-06-25 Published:2026-03-20
Contact: Chao ZHANG E-mail:3123352001@stu.xjtu.edu.cn;chaozhang@mail.xjtu.edu.cn

摘要/Abstract

摘要：

针对测控数传一体化调度需求、大规模卫星资源调度效率低下、调度后设备资源呈现高碎片化特征3个目前实际测控中遇到的突出问题，建立测控数传一体化资源调度优化模型，提出任务满足率和空闲资源碎片两个优化目标，并设计三阶段启发式求解算法。该算法首先生成调度初始解，然后结合回溯搜索机制，引入禁忌表、随机搜索等启发式策略，提高任务满足率，最后通过建立可行解决策函数，优化资源分配，降低空闲资源碎片数量。实验结果表明，与现有基准算法相比，该算法求解效率至少提升4倍，任务满足率至少提高3.13％，空闲资源碎片数量至少降低18.05%，验证了其在解决强约束测控数传一体化调度问题上的核心优越性。

关键词: 测控数传一体化, 资源调度, 空闲资源碎片, 启发式算法

Abstract:

Aiming at the three prominent issues encountered in practical telemetry, tracking and control and data transmission scheduling, namely the integrated scheduling of telemetry, tracking and control and data transmission, the low efficiency of large-scale satellite resource scheduling, and the equipment resources fragmentization after scheduling, an optimization model for integrated telemetry, tracking and control and data transmission resource scheduling is established. Two optimization objectives, namely task satisfaction rate and idle resource fragmentation number, are proposed, and a three-stage heuristic solution algorithm is designed.The algorithm first generates an initial scheduling solution, then combines a backtracking search mechanism with heuristic strategies such as tabu list and random search to improve the task satisfaction rate. Finally, by establishing a feasible solution decision function, resource allocation is optimized to reduce the number of idle resource fragments. Experimental results show that compared with existing benchmark algorithms, the algorithm improves the solution efficiency by at least 4 times, increases the task satisfaction rate by at least 3.13%, and reduces the number of idle resource fragments by at least 18.05%, thereby validating its fundamental efficacy in resolving the tightly constrained joint scheduling of telemetry, tracking and control and data transmission

Key words: integration of telemetry, tracking and control and data transmission, resource scheduling, idle resource fragmentation, heuristic algorithm

中图分类号:

TP 18

周晨宇, 张超, 李聪. 基于空闲资源碎片整合的测控数传一体化资源调度算法[J]. 系统工程与电子技术, 2026, 48(6): 1946-1964.

Chenyu ZHOU, Chao ZHANG, Cong LI. Integrated resource scheduling algorithm for telemetry, tracking and control and data transmission based on idle resource fragmentation integration[J]. Systems Engineering and Electronics, 2026, 48(6): 1946-1964.

图/表 23

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参数符号	参数名称
Subidx	子任务号
Type	任务类型
SatObj	卫星参数
S_n	卫星编号
TPT	建链时间
TET	拆链时间
revCstr	弧段选择约束
MME	最小仰角
Pri	优先级
ScopeDef₀	允许范围下移值
ScopeDef₁	最希望时刻/圈号
ScopeDef₂	允许范围上移值
SDA	可用设备集合

参数符号	参数名称
d_n	设备编码
Fresus	工作频段
SusF	设备支持功能
FT	禁用时间段集合

参数符号	参数名称
Dayidx	天号
rev	总圈号
Flag	升降轨状态
KeyPoint	站点预报

约束类型	约束条件	约束表达式
子任务约束	最小仰角约束	${\mathrm{F.KeyPoint}}.{ {\mathrm{kp}} }_{2 } .{ {\mathrm{Angle}} }_2 \geqslant {\mathrm{D T}}_{n, k, j }. {\mathrm{M M E}} $
	任务设备约束	$F . d_n \in {\mathrm{D T}}_{n, k, j} . {\mathrm{S D A }}$
	预报时间约束	$\begin{gathered}\forall{\mathrm{ f o r}}\; b_l \subseteq d_{m }. {\mathrm{F T}}\left[\mathrm{F.KeyPoint}. {\mathrm{k p}}_1 . T s_1-{\mathrm{D T}}_{n, k, j .} {\mathrm{T P T}},\right. \\\left.\mathrm{F.KeyPoint}. {\mathrm{k p}}_{3 }. T_{s 3}+{\mathrm{D T}}_{n, k, j } .{\mathrm{T E T}}\right] \cap {\mathrm{for}}\; b_l=\varnothing\left(d_m=F . d_n\right)\end{gathered} $
子任务间约束	同一设备时间占用冲突	$\begin{gathered}\forall\left(W_{n, k, j}, W_{n^{\prime}, k^{\prime}, j^{\prime}}\right)\left[W_{n, k, j} . {\mathrm{t t s}}, W_{n, k, j} . {\mathrm{t t e}}\right] \cap\left[W_{n^{\prime}, k^{\prime}, j^{\prime} }. {\mathrm{t t s}}, W_{n^{\prime}, k^{\prime}, j^{\prime}} . {\mathrm{t t e}}\right] =\\\varnothing\left(W_{n, k, j} . d_n=W_{n^{\prime}, k^{\prime}, j^{\prime} } . d_n, W_{n, k, j }. S_n \neq W_{n^{\prime}, k^{\prime}, j^{\prime} } . S_n\right)\end{gathered} $
子任务间约束	同一卫星圈号占用冲突	$\begin{gathered}\forall\left(W_{n, k, j}, W_{n^{\prime}, k^{\prime}, j^{\prime}}\right) W_{n, k, j} . {\mathrm{r e v}} \neq W_{n^{\prime}, k^{\prime}, j^{\prime}} . {\mathrm{r e v}} \\\left(W_{n, k, j }. S_n=W_{n^{\prime}, k^{\prime}, j^{\prime} }. S_n, {\mathrm{D T}}_{n, k, j } . { {\mathrm{Type}} }={\mathrm{D T}}_{n^{\prime}, k^{\prime}, j^{\prime} }. { {\mathrm{Type}} }\right)\end{gathered} $

实验组别	测控任务总数	数传任务总数
1	12800	7040
2	12800	7040
3	12800	7040
4	12800	7040
5	15680	10176
6	16000	10432

基于空闲资源碎片整合的测控数传一体化资源调度算法

Integrated resource scheduling algorithm for telemetry, tracking and control and data transmission based on idle resource fragmentation integration

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摘要/Abstract

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图/表 23

参考文献 43

相关文章 15

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Metrics

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实验组别	TAAFV			CAACLR			IACLR
实验组别	TTC	DDT	$ {G_{sr}} $	TTC	DDT	$ {G_{sr}} $	TTC	DDT	$ {G_{sr}} $
1	12777	6954	0.9934	12775	6966	0.9941	12800	7023	0.9989
2	12789	6930	0.9924	12767	6935	0.9918	12800	7016	0.9984
3	12780	6910	0.9907	12762	6922	0.9907	12800	7011	0.9981
4	12793	6972	0.9953	12788	6973	0.9951	12800	7036	0.9997
5	15675	9302	0.9574	15677	9345	0.9596	15680	9462	0.9653
6	15680	9366	0.9393	15689	9411	0.9417	16000	9520	0.9567

算法模块	组合算法1	组合算法2	组合算法3	组合算法4
模块①	×	×	×	√
模块②	√	√	√	√
模块③	×	×	√	√
模块④	√	√	√	√
模块⑤	×	√	√	√

实验组别	SA			GA			RBIA
实验组别	TTC	DDT	$ {G_{sr}} $	TTC	DDT	$ {G_{sr}} $	TTC	DDT	$ {G_{sr}} $
1	12800	7002	0.99756	12800	7015	0.99814	12800	7040	1
2	12800	6988	0.99666	12800	7010	0.99776	12800	7040	1
3	12800	6998	0.99730	12800	7014	0.99806	12800	7040	1
4	12800	7015	0.99839	12800	7002	0.99717	12800	7040	1
5	15680	9512	0.96781	15680	9529	0.96464	15680	10126	0.99757
6	16000	9602	0.96066	16000	9616	0.95573	16000	10298	0.99364

实验组别	优化前任务满足率	优化前碎片数量	优化后任务满足率	优化后碎片数量
1	1	10640	1	6928
2	1	10500	1	6657
3	1	10626	1	6283
4	1	10515	1	4881
5	0.99757	14709	0.99809	12031
6	0.99364	14343	0.99431	11753

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参数	数量
种群数量	100
交叉概率	0.9
变异概率	0.1

参数	数量
初始温度	100
降温系数	0.99
最低温度	0.1