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Control Console of Sewage Treatment Plant with Sensors as Application of IOT

机译:带有IOT的带有传感器的污水处理厂控制台

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Sewage generally consists of black-water, grey-water, toilet-paper, detergents and soap. The manual STP plant collects the sewage in a collection tank where the sewage is left to settle. Then it is mixed with oxygen in aeration tank in order to speed up the bio-degradation process. Finally its is mixed with activated carbon and left in the sedimentation tank to settle down. Sensors have been used in machines and systems to make them automatic. They read the data in real time and provide the system a method to utilize the values and make decisions thus making them automatic. The project involves using the sensors to make the traditional STP more robust and efficient. Different quality parameters such as pH, colour, turbidity, TSS, BOD, COD, TOC, pathogen count etc., are used for measuring the quality of treated water. Determining decisive parameters such as TSS, BOD, COD, TOC involve either expensive instrumentation, lengthy procedure or they are time consuming up to 3 days like for BOD. Using any of these parameters to measure the quality of treated water is not feasible as we need to monitor the parameters instantaneously. By monitoring the quantities of gases such as CO2, CH4 and NH3 that are released during aeration process, it is possible to instantaneously account for the extent of treatment that is taking place at any given point of time.
机译:污水通常由黑水,灰水,卫生纸,清洁剂和肥皂组成。手动的STP工厂将污水收集在收集槽中,污水将留在其中。然后在曝气池中与氧气混合,以加快生物降解过程。最后,将其与活性炭混合,并留在沉淀池中沉淀下来。传感器已在机器和系统中使用,以使其自动化。他们实时读取数据,并为系统提供一种利用这些值并做出决策的方法,从而使它们自动化。该项目涉及使用传感器使传统的STP更加健壮和高效。 pH,颜色,浊度,TSS,BOD,COD,TOC,病原体数量等不同的质量参数用于测量处理后的水的质量。确定决定性参数(例如TSS,BOD,COD,TOC)涉及昂贵的仪器,冗长的过程,或者像BOD一样需要长达3天的时间。使用这些参数中的任何一个来测量处理后的水的质量都是不可行的,因为我们需要立即监视这些参数。通过监测曝气过程中释放的气体(例如CO2,CH4和NH3)的数量,可以立即考虑在任何给定时间点进行的处理程度。

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