Design Alert system for dangerous water levels in dams using wireless communication technology using LoRa RA-02 and Arduino
Keywords:
الكوارث، الفيضانات، تدفق ، أندارAbstract
The idea of this study was based on confronting natural disasters that are only human life, such as floods and torrential torrents, as Derna in eastern Libya represents a tragic example of the extent of damage that may result from an unexpected rise in water levels in dams.
develop an early warning system based on LoRa RA-02 wireless communication technology, to enable remote monitoring of dangerous water levels in dams, and alert the concerned authorities to take the necessary preventive measures.
Given the urgent need for effective solutions to predict and deal with environmental disasters, this project relies on the use of LoRa long-range wireless communication technology, ultrasonic sensors to measure the water level in dams, and Arduino to control and process the data.
The system aims to provide early warning of dangerous rises in water levels, which contributes to reducing human and material losses in the event of floods.
The system consists of a transmitter unit: it includes an ultrasonic sensor to measure the water level, an Arduino Nano for data processing, and a LoRa RA-02 module to send data to the receiver unit.
Receiver unit: It contains an Arduino Nano to receive data, an OLED screen to display the water level, and an audio alarm system that works when the water level reaches a dangerous level.
The working mechanism is that the ultrasonic sensor measures the water level in
Determine the readings sent to the Arduino Nano. After the data is processed, it is transmitted via the LoRa RA-02 module to the receiving unit. When monitoring data, the water receiving unit has the water level monitored on the OLED display, and if it exceeds the achieved safety level, an alarm system is ensured to alert to help of impending danger.
The system was capable of covering long distances ranging from 1 to 15 kilometers depending on the terrain, making it suitable for surveillance in remote areas with limited communications infrastructure. Thanks to the low power consumption of LoRa modules, the system can operate for long periods without the need for constant intervention.
The system could be developed in the future by adding more sensors to monitor other factors such as the speed of water flow, or improving data analysis techniques to predict disasters more accurately before they occur.
