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作 者:陈慧 张颖 魏晓莹 王孙安[2] Chen Hui;Zhang Ying;Wei Xiaoying;Wang Sun′an(Electric Power Research Institute of State Grid Fujian Electric Power Company Limited,Fuzhou 350007,China;School of Mechanical Engineering,Xi′an Jiaotong University,Xi′an 710049,China)
机构地区:[1]国网福建省电力有限公司电力科学研究院,福州350007 [2]西安交通大学机械工程学院,西安710049
出 处:《电测与仪表》2020年第4期142-146,152,共6页Electrical Measurement & Instrumentation
基 金:国家电网公司总部科技项目(5442JL170007)。
摘 要:为了解决电能计量箱多传感器数据同步采集,并降低数据噪声的问题,文章研究设计了电能计量箱多特征量采集系统。该方法采用STM32F7和STM32F1单片机作为主-辅处理器,设计了多传感器数据滤波和扩展IO资源采集系统;设计并采用了标准化的通信协议使传感器数据实现同步采集;最后,采用基于最小均方(LMS)自适应滤波的方法对采集的数据进行降噪处理和分析。文章以温度传感器ADT7320为例做了数据采集与滤波处理实验,通过数据降噪处理后,基本消除了频率在1 Hz以上的噪声且小于1 Hz的噪声幅值也减少为原来的50%~90%。通过与传统的低通滤波器相比,文中方法能根据噪声频率进行自适应滤波,从而得到较为纯净准确的传感器数据。In order to solve the problem of multi-sensor data synchronous acquisition and data noise elimination or reduction in electric energy metering box,this paper studies and designs a multi-feature data acquisition system.In this method,the MCU STM32F7 and STM32F1 are used as the main-auxiliary processor,and the multi-sensor data filtering and extended IO resource acquisition system are designed.Secondly,a standardized communication protocol is designed and adopted to realize synchronous acquisition of sensor data.Finally,an adaptive filtering method based on LMS is adopted to deal with and analyze the noise reduction of the collected data.In this paper,the temperature sensor ADT7320 is taken as an example to conduct data acquisition and filtering processing experiments.The noise with the frequency above 1Hz is basically eliminated and the noise less than 1Hz is basically reduced to 50%~90%after data noise reduction processing.Compared with the traditional low-pass filter,the method in this paper can perform filtering adaptively according to the noise frequency,so that it can obtain the relatively pure and accurate sensor data.
分 类 号:TM93[电气工程—电力电子与电力传动]
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