论文部分内容阅读
介绍了遥测技术在电力监测领域的典型应用及其瓶颈问题。以绝缘子遥测系统为实例,阐述了数据压缩的重要性;通过对绝缘子遥测数据的特性分析,论证了各信源内部以及不同信源间的强相关性;通过统计分析,设计了系统最优预测器和最优量化器;提出并实现了分段量化压缩算法,结合矩形波串法使信源冗余度大大降低;采用具有数值序列性的HSF(Huffman-Shannon-Fano)编码实现了高效变长压缩;对误码扩散性和帧长设计进行了分析,并根据现场测试结果对压缩效能进行了评估。论述的一整套压缩方案能广泛适用于电力系统的遥测领域,为电力系统状态监测更深入地发展提供了理论与实践依据。
The typical application of telemetering technology in power monitoring and its bottleneck are introduced. Taking the insulator telemetry system as an example, the importance of data compression is expounded. By analyzing the characteristics of insulator telemetry data, the strong correlation between each source and different sources is demonstrated. By means of statistical analysis, the system optimal prediction And the optimal quantizer. The segmentation quantization and compression algorithm is proposed and implemented. The redundancy of the source is greatly reduced by the combination of the rectangular waveform method. The Huffman-Shannon-Fano (HSF) Long compression; analyze the error diffusion and frame length design, and evaluate the compression efficiency according to the field test results. The set of compression schemes discussed can be widely applied in the field of telemetry of power system, which provides theoretical and practical basis for the further development of power system condition monitoring.