CRIS- Central Server-based Real-Time Interconnections of Water Supply Network

2021 ◽  
Author(s):  
P. Sree Harshitha ◽  
Raja VaraPrasad ◽  
Hrishikesh Venkataraman
Keyword(s):  
Water Supply ◽  
Real Time ◽  
Supply Network ◽  
Water Supply Network

Research on Inverse Transient Leakage Location of Water Supply Network Based on Genetic Algorithm

2012 ◽  
Vol 212-213 ◽  
pp. 679-683
Author(s):  
Jian Gang Fei ◽  
Shen Dong ◽  
Mou Lv ◽  
Ze Bin Sheng
Keyword(s):  
Genetic Algorithm ◽  
Correlation Analysis ◽  
Water Supply ◽  
Real Time ◽  
Pressure Variation ◽  
Supply Network ◽  
Hydraulic Analysis ◽  
Analysis Model ◽  
Water Supply Network ◽  
Leakage Location

In order to realize real-time leakage (online) diagnosis, through correlation analysis of the network leakage and pressure variation, using the established microscopic model as the basic hydraulic analysis model, using the position of the network leakage point and the water of leakage point as the variables, using minimizing difference of the network pressure points monitoring value and simulation value as the target when leakage occurs, establish inverse transient leakage location of water supply network model based on genetic algorithm. Finally through the two modes of leakage verification, the result shows that this model can effectively achieve the network leakage location and quantitative.

Real-time localization of pollution source for urban water supply network in emergencies

2018 ◽  
Vol 22 (S3) ◽  
pp. 5941-5954 ◽  
Author(s):  
Xuesong Yan ◽  
Tian Li ◽  
Chengyu Hu ◽  
Qinghua Wu
Keyword(s):  
Water Supply ◽  
Real Time ◽  
Pollution Source ◽  
Urban Water ◽  
Supply Network ◽  
Urban Water Supply ◽  
Water Supply Network

Research on Hydraulic Model Establishment of Water Supply Network

2014 ◽  
Vol 1073-1076 ◽  
pp. 1027-1030
Author(s):  
Xin Zhang ◽  
Kun Zhang ◽  
Rui Ying Wu
Keyword(s):  
Water Supply ◽  
Real Time ◽  
Hydraulic Model ◽  
Operating Conditions ◽  
Security Evaluation ◽  
Supply Network ◽  
Pipe Network ◽  
Monitoring Point ◽  
Water Supply Network ◽  
Network Status

Under the existing technical and financial conditions, we can not do real-time monitoring of the water supply network in each point. The hydraulic model establishment has created favorable conditions for simulating pipe network hydraulic model.According to the information from pressure monitoring point of water supply pipe network , we can use batch adjustment principle to analyze the calculated variables’ value. With limited resources to simulate real-time network status, build pipe water conservancy network model and simulate network real-time operating conditions. Hydraulic model provides the basis for the water supply network security evaluation, scheduling scheme, pumps and piping renewal.

Organics and its Control in Reclaimed Water

2014 ◽  
Vol 507 ◽  
pp. 752-756
Author(s):  
Chao Xiang ◽  
Ping Xu ◽  
Jing Wang ◽  
Tao Wang ◽  
Ya Jun Zhang
Keyword(s):  
Water Supply ◽  
Indirect Effects ◽  
Microbial Growth ◽  
Treatment Process ◽  
Reclaimed Water ◽  
Limiting Factors ◽  
Supply Network ◽  
Water Supply Network ◽  
Factors Affecting ◽  
Comprehensive Study

Some forms of organic matter existing in the water have direct or indirect effects on microbial growth. By the investigation data over drinking water and reclaimed water, we summarized organic limiting factors that may affect the growth of microorganisms and factors affecting these water qualities in the reclaimed water supply network, such as a variety of treatment process and the residual disinfectants. Through its comprehensive study, we want to make a contribution of opinion to control the growth of microorganisms in reclaimed water supply network.

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