Low-Code Programming Tools and Portable Sensor Devices for Data Analysis

In this paper, we present an integrated framework that simplifies sensor programming, data analysis and wearable measurements in IoT applications. We have highlighted three tools: SensorBlockly, an extension of Node-RED and a dedicated handheld device. SensorBlockly integrates MOX gas sensors into the Ardublockly visual programming tool, enabling easy implementation and data storage. The Node-RED extension includes CSV file processing and advanced analysis methods such as PCA and LDA. The handheld device records gas measurement values and sends the data via WLAN using MQTT to Node-RED, where measurements can be configured, started and analyzed in real time. The ecosystem enables efficient prototyping, real-time data analysis and user-friendly interaction with IoT devices. One application example is the quantitative determination of acetic acid content in water samples. The publication contains practical examples and links to open source repositories to promote transparency and collaboration in the IoT community.