摘要
本文以风电旋转轴应变遥测为例,分析了旋转轴应变测量数据的特点,并针对其特点设计了高效、低时延数据压缩方案。设计的压缩方案首先对旋转轴应变遥测数据进行线性预测,然后对预测残差进行霍夫曼编码,实现旋转轴应变遥测数据的实时无损压缩,保证信息传输质量,最后给出了算法的仿真结果。
In this paper,the characteristics of the rotary shaft strain telemetering are analyzed,and an efficient and low-delay data compression scheme is designed. The proposed compression scheme first performs linear prediction of the rotary shaft strain telemetry data,and then performs real time lossless compression of the predicted residual Huffman coding to guarantee the quality of information transmission,finally,the simulation results of the algorithm are given.
作者
赵增印
弓宇
吴哲
韩肖君
ZHAO Zeng-Yin;GONG Yu;WU Zhe;HAN Xiao-Jun(Beijing HYTQ Technology Co.,Ltd.,Beijing100043,China;China Productivity Center for Machinery,Beijing100044,China)
出处
《机电产品开发与创新》
2022年第2期97-99,156,共4页
Development & Innovation of Machinery & Electrical Products
关键词
旋转轴应变遥测
无损数据压缩
线性预测
霍夫曼编码
Rotation axis strain telemetry
Lossless data compression
Linear prediction
Huffman coding