Development of pseudo autonomous wireless sensor monitoring system for water distribution network

Abstract

Water distribution networks require long term autonomous monitoring solutions, integrated, reliable and cost effective data transfer methods. This paper investigates the data delivery infrastructure of water distribution network sensor equipment used for network monitoring and billing of the subscribers. Water distribution network usually apply sensors to measure water flow, pressure and temperature. The main goal is to offer a wireless sensor system architecture comprising simplified and cost effective design for large scale deployments, maximizing autonomous running time and data transmission reliability. The proposed solution offers a periodic data acquisition system by removing the need of drive-by scenarios commonly used for water meter readouts collection. The idea of pseudo autonomous wireless sensor monitoring system is also discussed in the conclusion.

Wireless Sensor Networks: Towards Resilience Against Weather-Based Disruptions

“…Basic block scheme (see Fig. 2) represents WSN system that collects and transmits data on water consumption and water temperature at the premises, also water flow and pressure values in the water distribution network [25], [27]. Basic data flow consists of the sensor itself, which registers and converts analog water flow and pressure signal values to digital ones, then data are processed into messages and are sent to the gateway (concentrator) using Short Range Devices (SRD) ISM unlicensed telemetry band, frequency of 868 MHz, which is the main object of analysis in this paper.…”

Development of Electronic Water Meter Based on Wireless Network and RF

“…Authors in [5] showed the use of wireless sensors in water distribution networks and focused on the energy consumption and the consistency of data in wireless communications. Communication is achieved by adding fixed electric routers to the points where meters cannot be reached.…”

“…The energy consumption in wireless communication is important. The lifetime of the battery can be calculated according to the equations below [5]:…”

“…In real life scenarios, the drive-by scenario is problematic as the readout procedure might fail and urbanized area range limitations due to signal attenuation are present, resulting in the need for a repeated drive-by. The target of authors in [5] was to optimize energy consumption of all these components. The optimization will give a positive impact on cost minimization and on the prolongation of battery life time.…”

Real-Time Water Quality Monitoring For Small Aquatic Area Using Unmanned Surface Vehicle

“…There is a growing demand to implement a mechanism to enhance the effectiveness of existing water quality monitoring methods. Mostly, water quality information gathering uses traditional or manual methods for various reasons ranging from lack of technology capacity, human resources and financial constraints [5][6][7]. These techniques or methodologies are usually accurate and inexpensive, but suffer from various disadvantages like the loss of vital information during transport, limited samples, and cost-effectiveness.…”