摘要
为了简化数据处理流程并提升其执行效率,设计并开发了一套针对遥测数据的智能化处理方案。该方案创新性地整合了多源观测站质量评估模型、参数智能分路算法以及可视化图表与数字化报告生成系统,实现了海量遥测数据的自动优选与高效处理。经过多轮实测任务验证,该技术体系可以降低95%以上的人工干预需求,使数据处理周期缩短约50%,显著提升了飞行试验中关键参数的实时解析能力,从而为故障定位与性能评估提供了高时效性的数据支撑。
To simplify the data processing procedure and enhance its execution efficiency,an intelligent processing solution for telemetry data is designed and developed.This solution innovatively integrates a quality assessment model for multi-source observation stations,an intelligent parameter distribution algorithm,as well as a system for generating visual charts and digital reports.As a result,the automatic selection and efficient processing of massive telemetry data are achieved.It is verified through multiple rounds of actual measurement missions that this technical system can reduce the demand for manual intervention by over 95%,shorten the data processing cycle by approximately 50%,significantly improve the real-time analysis capability of key parameters in flight tests,and provide highly time-sensitive data support for fault location and performance evaluation.
作者
张东
谷阳阳
ZHANG Dong;GU Yangyang(Unit 92941 of PLA,Huludao,Liaoning 125000,China)
出处
《自动化应用》
2025年第22期110-113,共4页
Automation Application
关键词
遥测
自动化处理
子帧
副帧
telemetry
automated data processing
main frame
sub frame
