基于数字滤波技术和动力学的绿色能源传感器识别方法

Identification method of green energy sensor based on digital filtering technology and dynamics

当前使用的绿色能源传感器识别方法不具备传感器信号识别能力,导致其识别率较低、时间开销较大。针对该问题,设计基于数字滤波技术和动力学的绿色能源传感器识别方法。使用RVM回归算法处理采集到的传感器信号,构建样本集;基于数字滤波技术构建数字滤波器,剔除样本集中无用的信号与噪声;基于动力学分析信号冲击特征,确定信号来源,完成绿色能源传感器的识别。实验结果表明,基于数字滤波技术和动力学的绿色能源传感器识别方法的传感器识别率在98%以上,提高了传感器的实际识别效果;传感器识别时间波动值均在0 s以下,在保证传感器识别效果的基础上,降低了时间开销,提升了识别速度。

The current green energy sensor recognition methods do not have the ability of sensor signal recognition,resulting in low recognition rate and high time cost.To solve this problem,a green energy sensor identification method based on digital filtering technology and dynamics is designed.RVM regression algorithm is used to process the collected sensor signals and construct the sample set.Based on digital filtering technology,a digital filter is constructed to eliminate useless signals and noise in the sample set.Based on the dynamic analysis of signal impact characteristics,the signal source is determined,and the identification of green energy sensor is completed.The experimental results show that the sensor recognition rate of the green energy sensor recognition method based on digital filtering technology and dynamics is more than 98%,which improves the actual recognition effect of the sensor.The fluctuation value of sensor recognition time is less than 0.on the basis of ensuring the recognition effect of sensor,the time overhead is reduced and the recognition speed is improved.