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Remotely Accessible Instrumented Monitoring of Global Development Programs: Technology Development and Validation

机译:远程访问全球开发计划的仪器化监控:技术开发和验证

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Many global development agencies self-report their project outcomes, often relying on subjective data that is collected sporadically and communicated months later. These reports often highlight successes and downplay challenges. Instrumented monitoring via distributed data collection platforms may provide crucial evidence to help inform the sector and public on the effectiveness of aid, and the on-going challenges. This paper presents the process of designing and validating an integrated sensor platform with cellular-to-internet reporting purposely targeted at global development programs. The integrated hardware platform has been applied to water, sanitation, energy and infrastructure interventions and validated through laboratory calibration and field observations. Presented here are two examples: a water pump and a household water filter, wherein field observations agreed with the data algorithm with a linear fit slope of between 0.91 and 1, and an r-squared of between 0.36 and 0.39, indicating a wide confidence interval but with low overall error (i.e., less than 0.5% in the case of structured field observations of water volume added to a household water filter) and few false negatives or false positives.
机译:许多全球开发机构通常依靠零星收集并在几个月后进行沟通的主观数据来自我报告其项目成果。这些报告经常强调成功和淡化的挑战。通过分布式数据收集平台进行的仪器监控可能会提供关键证据,以帮助向部门和公众告知援助的有效性以及持续的挑战。本文介绍了设计和验证集成的传感器平台的过程,该平台具有针对全球发展计划的蜂窝到互联网报告。集成的硬件平台已应用于水,环境卫生,能源和基础设施的干预,并通过实验室校准和现场观察进行了验证。这里有两个示例:一个水泵和一个家用滤水器,其中现场观测与数据算法一致,线性拟合斜率在0.91和1之间,并且r平方在0.36和0.39之间,表示宽置信区间但总体误差低(即,在对家用滤水器添加的水量进行结构化实地观测的情况下,误差小于0.5%),且假阴性或假阳性很少。

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