Department of Innovation Engineering, University of Salento, 73100 Lecce, Italy.
School of Engineering, University of Basilicata, 85100 Potenza, Italy.
Sensors (Basel). 2021 Mar 20;21(6):2185. doi: 10.3390/s21062185.
Rural pipelines dedicated to water distribution, that is, waterworks, are essential for agriculture, notably plantations and greenhouse cultivation. Water is a primary resource for agriculture, and its optimized management is a key aspect. Saving water dispersion is not only an economic problem but also an environmental one. Spectral estimation of leakage is based on processing signals captured from sensors and/or transducers generally mounted on pipelines. There are different techniques capable of processing signals and displaying the actual position of leaks. Not all algorithms are suitable for all signals. That means, for pipelines located underground, for example, external vibrations affect the spectral response quality; then, depending on external vibrations/noises and flow velocity within pipeline, one should choose a suitable algorithm that fits better with the expected results in terms of leak position on the pipeline and expected time for localizing the leak. This paper presents findings related to the application of a decimated linear prediction (DLP) algorithm for agriculture and rural environments. In a certain manner, the application also detects the hydrodynamics of the water transportation. A general statement on the issue, DLP illustration, a real application and results are also included.
农村专用供水管线，即自来水厂，对农业，特别是种植园和温室种植至关重要。水是农业的主要资源，其优化管理是一个关键方面。节约用水不仅是一个经济问题，也是一个环境问题。泄漏的频谱估计基于对通常安装在管道上的传感器和/或换能器捕获的信号进行处理。有不同的技术能够处理信号并显示泄漏的实际位置。并非所有算法都适用于所有信号。这意味着，例如，对于位于地下的管道，外部振动会影响频谱响应质量；然后，根据外部振动/噪声和管道内的流速，应该选择适合于预期结果的合适算法，即泄漏在管道上的位置和定位泄漏的预期时间。本文介绍了应用于农业和农村环境的一种抽取线性预测（DLP）算法的研究结果。在某种程度上，该应用还可以检测水输送的流体力学。还包括对该问题的一般性说明、DLP 说明、实际应用和结果。
