A Sensor Network For An Early And Efficient Leak Detection In Long Pipelines
نویسنده
چکیده
منابع مشابه
INVERSE FREQUENCY RESPONSE ANALYSIS FOR PIPELINES LEAK DETECTION USING THE PARTICLE SWARM OPTIMIZATION
Inverse Transient Analysis (ITA) is a powerful approach for leak detection of pipelines. When the pipe transient flow is analyzed in frequency domain the ITA is called Inverse Frequency Response Analysis (IFRA). To implement an IFRA for leak detection, a transient state is initiated in the pipe by fast closure of the downstream end valve. Then, the pressure time history at the valve location is...
متن کاملSmartPipes: Smart Wireless Sensor Networks for Leak Detection in Water Pipelines
Asset monitoring, specifically infrastructure monitoring such as water distribution pipelines, is becoming increasingly critical for utility owners who face new challenges due to an aging network. In the UK alone, during the period of 2009–2010, approximately 3281 mega litres (10) of water were wasted due to failure or leaks in water pipelines. Various techniques can be used for the monitoring ...
متن کاملEvolutionary Computing Assisted Wireless Sensor Network Mining for QoS-Centric and Energy-efficient Routing Protocol
The exponential rise in wireless communication demands and allied applications have revitalized academia-industries to develop more efficient routing protocols. Wireless Sensor Network (WSN) being battery operated network, it often undergoes node death-causing pre-ma...
متن کاملQualitative Risk Assessment of Gas Pipelines by Using of Indexing System Method in GIS environment
Nowadays the urbanization is developing rapidly, and it leads to growing demand for gas; which resulted in denser pipeline network, by the following increase in the pipeline network congestion, accidents will become inevitable. So Pipelines are a remarkable source of hazard for their adjacent society. Usually Indexing system method is used for pipe line risk assessment. This method assesses ri...
متن کاملOutlier Detection in Wireless Sensor Networks Using Distributed Principal Component Analysis
Detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (WSNs). To address the problem of outlier detection in wireless sensor networks, in this paper we present a PCA-based centralized approach and a DPCA-based distributed energy-efficient approach for detecting outliers in sensed data in a WSN. The outliers in sensed data can be ca...
متن کامل