Smart Cities: Non Destructive Approach for Water Leakage Detection
| Autor: | Andréa Lucia Braga Vieira Rodrigues, Sidney José Montebeller, Lucas Nunes Monteiro, Diolino Jose dos Santos Filho, Edinei Peres Legaspe, Felipe Crispim da Rocha Salvagnini, Fernando Garcia Deluno |
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| Rok vydání: | 2019 |
| Předmět: |
Data collection
business.industry computer.internet_protocol Computer science 010401 analytical chemistry Real-time computing 020206 networking & telecommunications Ranging 02 engineering and technology 01 natural sciences 0104 chemical sciences Internet protocol suite 0202 electrical engineering electronic engineering information engineering business Communications protocol computer Digital signal processing Edge computing Goertzel algorithm Leakage (electronics) |
| Zdroj: | IFIP Advances in Information and Communication Technology ISBN: 9783030177706 DoCEIS |
| Popis: | Natural resources management is essential, especially of water distribution within cities. In Brazil, water losses in distribution systems go up to around 38%. In the context of “Smart Cities”, technologies that use “The Internet of Things” can be applied to reduce such losses. The present article shows that leakages produce distinctive noise ranging from 100 Hz to 1000 Hz. Through digital signal processing techniques, such as the Discrete Fourier Transform and Goertzel Transform, the spectral signals are decomposed, revealing their components of frequency such as the intensity. An architecture that performs the communication between slave nodes through a TCP/IP network is then proposed. The slave nodes are responsible for data collection for leakage identification. The collected data is then sent to the data master where there is greater computing power. The data master will perform the processing according to the paradigm of edge computing, thus obtaining frequency responses and the identification of the leakage itself. It will also make data available through OPC-UA, a standard “Internet of Things” communication protocol widely used in the industrial context. |
| Databáze: | OpenAIRE |
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