摘要
通过传感器节点采集设备振动信号,借助无线网络传输技术将大量的振动数据传送到数据处理和信号分析中心。通常采用数据压缩算法来减少数据传输量,一方面减少了数据传输量,同时也增加了节点的能量消耗,因此,对于能量有限的节点来说必须考虑这两者之间的能量平衡问题。根据振动信号特点,研究了振动传感器节点的能效评估方法,对两种典型的数据压缩算法结合硬件环境进行了能效评估。研究结果表明,采用压缩算法减少了传输数据量的同时,数据处理能耗也增加了,因此必须选择合适的压缩算法来平衡好两者之间的关系。可以采用有损压缩算法在保留振动数据有用信号的同时又滤除噪声,获得较好的能量效率。
The vibration signal of equipment can be acquired by the sensor nodes.With the aid of wireless network,mass of vibration signals will be transmitted to data processing and signal analysis center.To reduce the data volume,some kinds of data compression algorithms usually be adopted.On the one hand,data compression can reduce the data volume;on the other hand,it also increases the energy consumption of sensor nodes.Therefore,energy balance between the two sides must be considered for the energy limited sensor nodes.According to the characteristics of vibration signal and the hardware environment,this paper studies the energy efficiency evaluation method of the nodes and applies this method to evaluating two typical compression algorithms.The results show that compression algorithm reduces the data volume,but energy consumption of data processing increases at the same time,so an appropriate algorithm must be adopted to balance the relationship of two sides.Because the vibration data contains lots of noise,lossy compression algorithm can be used to retain the useful signal and filter out noise at the same time,then a better energy efficiency will be acquired.
出处
《电力与能源》
2015年第6期818-821,共4页
Power & Energy
关键词
振动信号
无线传输
数据压缩
能效分析
vibration signal
wireless transmission
data compression
energy-efficiency analysis
