Design of Large Closed Loop Control Structure for Urban Drainage Systems in the Whole Optimizing Running Process

Urban drainage system involves urban surface runoff, drainage pipeline system and rivers and its dynamic behavior is driven both by natural and artificial forces. There is a lack of appropriate and progressive hydraulic dynamic models for whole urban drainage system, together with much difficulty in collecting operation data, and backwardness of operation control techniques, thereby causing the frequent occurrence of urban flooding, sewage overflow and high energy-consumption of the pump stations. Therefore, it is hard to guarantee the security, reliability and high-efficiency of the operation of the urban drainage networks. To solve these problems, this paper proposed a large closed-loop control system model to achieve multi-objective and comprehensive operation optimization of urban drainage networks, based on the design of a new control model of a progressive system of city runoffs, drainage pipeline network and river tunnels.

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A Two-Stage Queue Model to Optimize Layout of Urban Drainage System considering Extreme Rainstorms

Mathematical Problems in Engineering ◽

10.1155/2017/6380521 ◽

2017 ◽

Vol 2017 ◽

pp. 1-18 ◽

Cited By ~ 1

Author(s):

Xinhua He ◽

Wenfa Hu

Keyword(s):

Drainage System ◽

Urban Drainage ◽

Improved Genetic Algorithm ◽

Two Stage ◽

Urban Drainage System ◽

Confidence Levels ◽

Drainage Pipe ◽

Pump Stations ◽

Cost Of Construction ◽

Extreme Rainstorms

Extreme rainstorm is a main factor to cause urban floods when urban drainage system cannot discharge stormwater successfully. This paper investigates distribution feature of rainstorms and draining process of urban drainage systems and uses a two-stage single-counter queue methodM/M/1→M/D/1to model urban drainage system. The model emphasizes randomness of extreme rainstorms, fuzziness of draining process, and construction and operation cost of drainage system. Its two objectives are total cost of construction and operation and overall sojourn time of stormwater. An improved genetic algorithm is redesigned to solve this complex nondeterministic problem, which incorporates with stochastic and fuzzy characteristics in whole drainage process. A numerical example in Shanghai illustrates how to implement the model, and comparisons with alternative algorithms show its performance in computational flexibility and efficiency. Discussions on sensitivity of four main parameters, that is, quantity of pump stations, drainage pipe diameter, rainstorm precipitation intensity, and confidence levels, are also presented to provide guidance for designing urban drainage system.

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The optimization of location and control of pump stations in urban drainage system

2016 35th Chinese Control Conference (CCC) ◽

10.1109/chicc.2016.7554733 ◽

2016 ◽

Author(s):

Yiqun Cui ◽

Shufang Hou ◽

Dewei Li ◽

Yugeng Xi ◽

Lihui Cen

Keyword(s):

Drainage System ◽

Urban Drainage ◽

Urban Drainage System ◽

Pump Stations ◽

And Control

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The Impact of Visual Feedback Type on the Mastery of Visuo-Motor Transformations

Zeitschrift für Psychologie ◽

10.1027/2151-2604/a000084 ◽

2012 ◽

Vol 220 (1) ◽

pp. 3-9 ◽

Cited By ~ 4

Author(s):

Sandra Sülzenbrück

Keyword(s):

Empirical Research ◽

Visual Feedback ◽

Closed Loop ◽

Motor Planning ◽

Visual Input ◽

Closed Loop Control ◽

Loop Control ◽

Feedback Type ◽

Effective Use ◽

The Impact

For the effective use of modern tools, the inherent visuo-motor transformation needs to be mastered. The successful adjustment to and learning of these transformations crucially depends on practice conditions, particularly on the type of visual feedback during practice. Here, a review about empirical research exploring the influence of continuous and terminal visual feedback during practice on the mastery of visuo-motor transformations is provided. Two studies investigating the impact of the type of visual feedback on either direction-dependent visuo-motor gains or the complex visuo-motor transformation of a virtual two-sided lever are presented in more detail. The findings of these studies indicate that the continuous availability of visual feedback supports performance when closed-loop control is possible, but impairs performance when visual input is no longer available. Different approaches to explain these performance differences due to the type of visual feedback during practice are considered. For example, these differences could reflect a process of re-optimization of motor planning in a novel environment or represent effects of the specificity of practice. Furthermore, differences in the allocation of attention during movements with terminal and continuous visual feedback could account for the observed differences.

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