Arduino-Based Moving Average Filter Implementation for Increasing Stability Measurement of Digital Temperature in Climate Monitoring Systems Micro
Abstract
System monitoring climate, micro need measurement, and stable, accurate temperature for supporting real-time analysis of environmental conditions. However, digital temperature sensors often experience data fluctuations due to noise, interference signals, and changes in a fast-paced environment, which can influence the quality of measurement results. Research: This aim implements an Arduino-based Moving Average Filter method to increase the stability of digital temperature measurements in the climate monitoring microsystem. The method uses a design device hardwired with an integrated digital temperature sensor and an Arduino microcontroller, along with the Moving Average Filter algorithm for processing temperature data. Testing was done by comparing sensor readings before and after filter application, using level data and value-stability deviation measurements. Research results show that implementing the Moving Average Filter can significantly reduce fluctuations in temperature data, thereby improving reading stability and consistency compared to a system without a filter. Besides, this method can improve the quality of temperature monitoring without adding excessive complexity to the system. Thus, implementing an Arduino-based Moving Average Filter can be an effective solution for improving the performance of system monitoring, climate, and micro digital sensors
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