Several small or single large? Quantifying the catchment-wide per-formance of on-site wastewater treatment plants with inaccurate sensors
Several small or single large? Quantifying the catchment-wide per-formance of on-site wastewater treatment plants with inaccurate sensors
复制标题
几个小还是单个大？
DOI：
10.1021/acs.est.2c05945
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发表时间：
2023
影响因子：
11.4
通讯作者：
Max
中科院分区：
文献类型：
--
作者：
Schneider;Mariane Yvonne; Harada;Hidenori; Villez;Kris; Maurer;Max
现场污水处理厂（OST）往往缺乏监测，导致处理性能不可靠。因此，它们似乎是一种权宜之计，尽管它们可能有助于循环水管理。低维护但不准确的软传感器正在出现，以解决这一问题。然而，他们的不准确性如何影响流域范围内的处理性能的许多OST系统尚未量化。我们开发了一个随机模型来估计全流域OST性能的Monte Carlo模拟。在我们的研究中，具有70%准确度的软传感器将治疗性能从66%的时间功能提高到98%。针对特异性优化的软传感器（指示真阴性率）提高了系统性能，而针对灵敏度优化的传感器（指示真阳性率）更准确地量化了治疗性能。这种新的见解使我们建议在实际设置中使用相同的硬件传感器数据作为输入来编程两个软传感器：一个软传感器面向维护调度的高特异性，另一个面向性能量化的高灵敏度。我们的研究结果表明，不准确的传感器与适当的报警管理相结合的维护策略可以大大提高系统的OST的平均全流域治疗性能。
On-site wastewater treatment plants (OSTs) often lack monitoring, resulting in unreliable treatment performance. They thus appear to be a stopgap solution despite their potential contribution to circular water management. Low-maintenance but inaccurate soft sensors are emerging that address this concern. However, how their inaccuracy impacts the catchment-wide treatment performance of a system of many OSTs has not been quantified. We develop a stochastic model to estimate catchment-wide OST performances with a Monte Carlo simulation. In our study, soft sensors with a 70% accuracy improved the treatment performance from 66% of the time functional to 98%. Soft sensors optimized for specificity, indicating the true negative rate, improve the system performance, while sensors optimized for sensitivity, indicating the true positive rate, quantify the treatment performance more accurately. This new insight leads us to suggest programming two soft sensors in practical settings with the same hardware sensor data as input: one soft sensor geared to high specificity for maintenance scheduling and one geared to high sensitivity for performance quantification. Our findings suggest that a maintenance strategy combining inaccurate sensors with appropriate alarm management can vastly improve the mean catchment-wide treatment performance of a system of OSTs.