基于多DS18B20传感器阵列的数据采集方法研究

Research on Data Acquisition Method of Sensor Array Based on Multiple DS18B20

提出了一种基于多DS18B20温度传感器阵列的分布式并行数据采集方法,解决了热物理学中对空间内温度梯度多点检测用传感器阵列数据采集同步性较差的问题,提高了检测实时性与同步性。对DS18B20温度传感器的结构与工作时序进行了深入解析,首先将阵列内所有温度传感器进行ID匹配,然后启动温度转换,使传感器耗时最长的一段过程尽量保持同步进行,缩短了数据采集所耗时长。同时对180个传感器两种温度采集方式所耗时长进行了对比:采用分布式并行数据采集方法耗时3.6 s,比传统逐个式温度采集缩短了82.2 s。所提出的方法提高了多DS18B20温度传感器阵列数据采集的同步性,对空间内温度场、温度梯度模型的研究具有重要意义。

A distributed parallel data acquisition method based on multiple DS18B20 temperature sensor arrays is proposed,which solves poor synchronization problem of sensor array data acquisition for multi-point detection used in temperature gradients space on thermal physics,meanwhile improves the real-time detection and detection efficiency.The structure and working sequence of DS18B20 tempera-ture sensor are analyzed in depth.Firstly,all temperature sensors in the array are ID matched,and then the temperature conversion is started,so that the longest process of the sensor can be synchronized as much as possible,shortening the time to get temperature data of the entire array.At the same time,the lengths of time taken for temperature acquisition of two methods through an array of 180 DS18B20 sensors are compared.The distributed parallel data acquisition method takes 3.6s,which is 82.2 s shorter than that of the traditional one-by-one temperature acquisition.The method proposed improves the synchronization of data acquisition of multiple DS18B20 temper-ature sensor arrays,which is of great significance to the study of temperature field and temperature gradient model in space.