Towards an IoT-Based System for Monitoring of Pipeline Leakage in Clean Water Distribution Networks

Abstract

Climate change-causing drought is wreaking havoc in the Mekong Delta, but water usage and management are still inefficient, resulting in a loss rate of more than 20%. This research is being carried out to contribute to lowering the rate of water loss and improving the management of the clean water supply. This suggested system makes use of wireless sensor networks, the Internet of Things, and cloud database storage technologies. The readings collected by the flow and water pressure sensors at the sensor nodes installed along the plumbing system will be relayed to the gateway through the LoRa wireless communication network. The gateway will aggregate the collected data, upload it to a cloud database, and then analyze it to detect and give an appropriate alert for water leaks if any occur. An application for the Android smartphone assists in visually monitoring recorded data. The research results have been evaluated in operation, with initial results fulfilling the key requirements.

Methodological Aspects of Industrial and Transport Noise Monitoring

“…At the workplaces of aviation specialists, SPLs reach 132 dB in the high-frequency and mid-frequency ranges. The highest noise levels were noted at the workplaces of motor test stations (SPL 120-132 at frequencies of 50-150 Hz) [8,[16][17][18].…”