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Water Leak Detection from Irrigation Pipelines in Botswana using Vibration Interpretation Technique

机译:振动解释技术在博茨瓦纳灌溉管道漏水检测中的应用

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Background: The Agriculture sector in Botswana is the biggest water consumer and irrigation is a common practice. However, water leaks are common occurrence in irrigation systems. The current most prevalent methods for leak detection involves visual inspection of irrigation pipelines, which is not feasible due to water drainage in sandy soils and pipes being buried underground. Hence, the need to investigate the viability of vibration sensors for detection of water leaks. Proper water management requires constant monitoring of the water pipe network and fast detection of leaks. This paper discusses the use of an accelerometer to monitor water leaks and data analysis techniques that can be used for detecting leaks in crop irrigation systems. Objective: To detect water leaks in a farm piping system, hence help farmer reduce water loss. Method: We apply our algorithm on an experimental dataset to detect water leak. An unbiased statistic, Standardised Accuracy (SA), is used for evaluating our detection system, based upon; testing the result's likelihood relative to the baseline technique of random ‘predictions' (guessing), and calculation of effect sizes. Results: We demonstrate through our experiments based on experimental data sets leaks can be effectively detected. This gives an encouraging indication suggesting that it is feasible to use vibration sensors to predict water leaks in Agricultural setting. Conclusion: Using this approach it is possible for farmers to detect water leaks, even in sandy soils. Vibration interpretation techniques offer a viable option to water leak detection.
机译:背景:博茨瓦纳的农业部门是最大的用水户,灌溉是一种普遍做法。但是,漏水在灌溉系统中很常见。当前用于泄漏检测的最普遍的方法涉及对灌溉管道进行目视检查,由于砂质土壤中的排水和被埋在地下的管道,这是不可行的。因此,需要研究用于检测漏水的振动传感器的可行性。正确的水管理要求对水管网络进行持续监控,并迅速发现泄漏。本文讨论了使用加速度计监测漏水的情况以及可用于检测农作物灌溉系统漏水的数据分析技术。目的:检测农场管道系统中的漏水情况,从而帮助农民减少水的流失。方法:我们将算法应用于实验数据集以检测漏水。无偏倚的统计数据,标准精度(SA)用于评估我们的检测系统,基于:相对于随机“预测”(猜测)的基线技术测试结果的可能性,并计算效果大小。结果:我们通过基于实验数据集的实验证明可以有效地检测出泄漏。这给出了令人鼓舞的迹象,表明在农业环境中使用振动传感器来预测漏水是可行的。结论:使用这种方法,即使在沙质土壤中,农民也有可能发现漏水现象。振动解释技术为漏水检测提供了可行的选择。

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