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IIoT as a Utility Management Tool

机译:IIoT作为实用程序管理工具

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摘要

The District of Columbia Water and Sewer Authority (DC Water) has thousands of rotating assets contributing toward meeting process treatment goals at the 384-MGD Blue Plains Advanced Wastewater Treatment Plant in Washington, DC. In addition to the 384 MGD advanced treatment plant, the site also accommodates a 250 MGD Tunnel Dewatering Pump Station and Wet Weather Treatment Facility complete with Fine Screens, Grit Removal, Ballasted Settling, Disinfection and Dechlorination. The plant has over 50,000 hard IO connected to the control system, and approximately 450,000 soft IO. The plant morphed from a full manual operation with 250 operating staff, to a plant that is now fully controlled with a Distributed Control System (DCS) and with significantly reduced manpower. The change was large and driven by the need to be able to operate without reliance on a large work force. The control philosophy adopted at the time of design had this singular focus and was therefore geared towards automating routine manual tasks. This included equipment start/stop, and flow and speed set point control. The only stated cost optimization goal was chemical usage, by converting from a set manual dose to flow paced. Electrical power monitoring was an expensive option and therefore restricted to motors 100 HP or larger size.
机译:哥伦比亚特区水和污水处理局(DC Water)拥有成千上万的流动资产,有助于实现位于华盛顿特区的384-MGD Blue Plains高级废水处理厂的过程处理目标。除了384 MGD的高级处理厂外,该地点还可以容纳250 MGD的隧道脱水泵站和湿法天气处理设施,包括细筛,除砂,压载沉降,消毒和脱氯。该工厂具有连接到控制系统的50,000多个硬IO和大约450,000的软IO。该工厂从拥有250名操作人员的完全手动操作演变为现在由分布式控制系统(DCS)完全控制且人工大大减少的工厂。变化是巨大的,并且是由无需依靠大量劳动力就能进行操作的需求所驱动的。设计时采用的控制原理具有这一独特的重点,因此适合自动执行常规手动任务。这包括设备的启动/停止以及流量和速度设定点控制。唯一规定的成本优化目标是化学药品的使用,即从设定的手动剂量转换为按步调的流量。电力监控是一种昂贵的选择,因此仅限于100 HP或更大尺寸的电动机。

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