Передачі накопичених даних радіотехнічною системою на fpga для частотних перетворювачів фізичних величин використовуючи технологію wifi

Abstract

The work presents an IoT system based on FPGA and the Lilygo LORA32 module for data collection, processing, and transmission in remote locations. The system utilizes LoRa, WiFi, and Bluetooth protocols, with the CBOR format ensuring data compactness and transmission speed. A LoRa hub is implemented for measurement aggregation, along with a server featuring a REST API built on FastAPI for data processing and storage. The system is characterized by its accuracy, energy efficiency, and versatility, making it suitable for environmental monitoring, automation, and other IoT scenarios.