REGRESSION ANALYSIS APPLIED ON SEWAGE EARLY WARNING SYSTEM

• Main Authors: SEN-LIN LIU, 劉森林
• Other Authors: CHAOHENG CHIEN
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/27769173935111476973

碩士 === 大同大學 === 工程管理碩士在職專班 === 104 === DanShui River sewage systems (herein after referred to as the present system) large domestic market Basin counties of sewage systems, the plant stations are located in Taipei, New Taipei and Keelung, Taipei, including Taipei City and suburban sewage systems two parts, which covers the new Taipei City Luzhou、Sanchong、WuGu、XinZhuang、BanChiao、ShuLin、ZhongHe、YongHe、TuCheng、XinDian、ShenKeng、SanXia、TaiShan、XiZhi and BaLi other 15 districts and Keelung the QiDu、NuanNuan and AnLe other areas ，Taipei and suburbs excess sewage was collected together via facilities to transports.。 Such a huge and complex pipeline system, according to current experience shows that when rainfall events occur, even turned off all the sewage pumping station related upstream closure station, various sewage pumping station pumps are still much larger than the load condition when the sunny happen, it is necessary closure on stations and stations estimate the amount of water entering the dependency resolution and velocity of the system, the pumping station for the downstream flow of the estimated time as emergency decision making, to avoid the unexpected influx of large amounts of sewage, causing pumping stations flooded station and equipment damage and other disaster damage. In this paper, the current status of research, based on plant-based monitoring stations monitoring equipment in normal operation, the water level and flow rate data capture, calculate the measured flow value via Manning formula, but because of where the flow meter is located below the surface of sewage wastewater vulnerable covered or foreign body impact damage, resulting in distortion was measured flow data or zero, and can not use, so this research method is based on the current equipment is not damaged collected reliable water level and velocity values in order to obtain the flow rate value, and then based on the water level and flow to find the relationship is more than 0.6 above data regression analysis to find the right formula of linear regression, future until after the flow meter used for some time, often due to failure or distortion, the level of information which can be substituted into the regression equation to strike an appropriate the flow rate value to the correction period is missing or distorted information. At present, the research results have been applied to the monitoring station when the normal period of time, measured value and the regression equation calculation value is not much difference, but when the system is abnormal, the measured value is zero or negative, the regression equation calculation value remains stable the precise effect, then the system regression formula is not static, still need regular monitoring every year to the years when the instrument repair and maintenance, accounting together again this regression formula, just as the period of time after the test instrument calibration should be performed is the same reason。