A Calculator that calculate the Time on Air (ToA) of LoRa packet. Based on the formula in Semtech's datasheet.

LoRa Time on Air Calculator

An outdoor environmental monitoring system utilizing LoRa for long-range communication. This project captures air quality, temperature, and humidity data using Arduino and ESP8266. The data is then transmitted via MQTT to a Flask server for classification and an Android application for real-time visualization.

Python LoRa on air time calculator

LoRaWAN Airtime Calculator in Python

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This script has the ability to calculate the on air time for the lora packets based on the module configuration.

An IoT Solution using Three-Phase Methodology for a LoRa Site Survey with Automatic ToA (LoRa Time on Air) by MoT protocol using a Device PKLoRa by ESP32 core, LoRa radio RFM95, sensor LDR (Electrical Engineering University of Campinas) - FEE-247 (DEVELOPMENT OF IOT SOLUTIONS WITH LORA AND LORAWAN)

An IoT-based Air Quality Monitoring System using ESP32, LoRa, and TinyML for real-time AQI forecasting and spatial interpolation mapping. Sensors: PMS7003, AHT40, C8-CO2

A real-time air quality monitoring system using ESP32 sensors, LoRa, and Raspberry Pi. It processes PM2.5 and environmental data, predicts AQI with ML models, updates a live dashboard, supports cloud and offline logging, and sends Telegram alerts for high-risk levels.

The project mainly includes three parts: the fresh air system host, the fresh air system controller and the mobile phone mini program. The fresh air system host realizes the control of the AC fan speed through the solid state relay by receiving the instructions of the fresh air system controller. The fresh air system controller reads the data of the PM2.5 sensor through UART communication, reads the temperature and humidity sensor data through I2C communication, generates the control instructions for the host according to the indoor environment data read, and completes the communication with the host through the LORA module to achieve control of the host. At the same time, the monitored environmental data is sent to the mobile phone through esp8266, and the user can monitor the environmental situation and realize the control of the fan on the mobile phone.

Forest Early Fire Detection System with LoRa Communication and Web Server is a system that utilizes the latest technology for long distance communication, namely LoRa which is a long range and low power protocol. This system can make it easier for local authorities to monitor forest conditions for temperature, humidity, soil moisture, gas content of methane, propane, butane, carbon monoxide and air quality in the forest. The rise of forest fires makes the government and local agencies feel restless when they come to the location of the fire, but the fire has ended in a big way, due to being late in arriving at the location 1-2 hours from potential for fires to occur. Therefore, system is needed that can detect forest fires earlier, at least doesn’t take a time before a potential fire occurs. This system is designed to use a web server as monitoring, telegram as notification, MQ9 as flammable gas detector such as methane, butane and propane and also carbon monoxide detector, peat forest fires included in ground fires, require a soil moisture sensor to detect soil moisture, MQ135 as air quality and gas detector in PPM form, BME280 as temperature, humidity, air pressure detector as well as vertical position altitude in the forest point. This system is expected to solve agency problems and local parties when they arrived late to the point of the forest fire