Invention Grant
- Patent Title: Mobile station and methods for diagnosing and modeling site specific full-scale effluent treatment facility requirements
- Patent Title (中): 移动站和方法,用于诊断和建模场地特定的全面污水处理设施要求
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Application No.: US13066097Application Date: 2011-04-06
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Publication No.: US08790517B2Publication Date: 2014-07-29
- Inventor: Reginald A. Wiemers , Robert Kohlheb , Bardia B. Khalili , Gyorgy Lipovszki , Peter H. Zahn
- Applicant: Reginald A. Wiemers , Robert Kohlheb , Bardia B. Khalili , Gyorgy Lipovszki , Peter H. Zahn
- Applicant Address: US CO Denver
- Assignee: Rockwater Resource, LLC
- Current Assignee: Rockwater Resource, LLC
- Current Assignee Address: US CO Denver
- Agent Harold A. Burdick
- Main IPC: C02F9/00
- IPC: C02F9/00 ; C02F9/02 ; G05B13/04

Abstract:
A mobile station and methods are disclosed for diagnosing and modeling site specific effluent treatment facility requirements to arrive at a treatment regimen and/or proposed commercial plant model idealized for the particular water/site requirements. The station includes a mobile platform having power intake, effluent intake and fluid outflow facilities and first and second suites of selectably actuatable effluent pre-treatment apparatus. An effluent polishing treatment array is housed at the station and includes at least one of nanofiltration, reverse osmosis and ion-exchange stages. A suite of selectively actuatable post-treatment apparatus is housed at the station. Controls are connected at the station for process control, monitoring and data accumulation. A plurality of improved water treatment technologies is also disclosed. The modeling methods include steps for analyzing raw effluent to be treated, providing a field of raw effluent condition entry values and a field of treated effluent condition goals entry values, and utilizing said fields to determine an initial treatment model including a selection of, and use parameters for, treatment technologies from the plurality of down-scaled treatment technologies at the facility, the model dynamically and continuously modifiable during treatment modeling.
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