Integration of Sensor Data Collection IoT Systems Based on Piezoсeramic Sensors into the AWS Cloud Infrastructure

Abstract

The article explores the methods and tools for integrating IoT systems for sensor data collection based on piezoelectric ceramic sensors into the Amazon Web Services (AWS) cloud infrastructure. An architectural model of the IoT system is presented, taking into account the choice of communication protocols, standard interfaces, data transmission formats, and AWS services (IoT Core, Lambda, Timestream, DynamoDB, S3, CloudWatch). A comparative analysis is conducted on the applicability of various data transmission protocols in the context of limited computational resources and the specific characteristics of piezoelectric sensor signals. Special attention is given to the secure authentication of devices using X.509 certificates, as well as to the protection of data during transmission. A resilient cloud architecture approach is proposed using AWS availability zones. An example of an experimental implementation is described based on the ESP32 platform and muRata piezo elements, with data transmitted to the cloud and stored in Timestream. The research results demonstrate the effectiveness of the integrated system for vibration monitoring tasks and highlight the potential of such solutions in industrial and engineering applications.