Optimization of water consumption using dynamic quota based smart water management system

Author(s):  
Naman Satiya ◽  
Vinit Varu ◽  
Aakanksha Gadagkar ◽  
Darshan Shaha
2020 ◽  
pp. 212-217
Author(s):  
Vidhya K ◽  
Nagarajan B ◽  
Dhanasekaran R ◽  
Aravinthaprasad V C ◽  
Anbu V

It is essential for water providers and the urban water supply industries have to understand how water is used in residential settings. The project Artificial Intelligence Based Smart Water Management System discusses the innovative Information and Communications Technology (ICT) approaches to practice the tapped water-saving habit in house. At the domestic level, this is attained by the expansion of a decision provision method to provide good awareness among the family members about their daily water consumption in a significant way and do assessment and promote water consumption reduction. The proposed AI system will control and monitor the flow of water from overhead tank to various utility areas like Kitchen, Bathroom, and Dress Wash and also for Garden in House. The water distribution is controlled by Smart Water Distributor which distributes the water at different locations of the house based on its need. Using Deep Belief Network technique of AI, the threshold level of each location is compared with the current flow level of the sensor. These flow control sensors will update the flow periodically to the intelligent monitor system. The intelligent monitor system will analyze the sensor data with the current water limit of each distribution as well as the data from the water level sensor of the underground tank. Similarly, the high-rate pressure sensor will periodically update the pressure over the pipe. Based on the variation ratio of water availability Vs Demand ratio and reduction in pressure level, the Intelligent Monitoring system will alarm the house holders about the shortage and leakage of water. By the way the proposed system will regulate the usage of water and avoids the wastage of water through leakage. This will also help the society and the government bodies to resolve the problem of water demand.


2021 ◽  
Author(s):  
Md. Nazmul Alam ◽  
Abu Shufian ◽  
Md. Abdullah Al Masum ◽  
Abdullah Al Noman

Author(s):  
Xiaoqing Zhu ◽  
Zhijie Yin ◽  
Yong Liu ◽  
Bo Feng ◽  
Yan Wang

2014 ◽  
Vol 1073-1076 ◽  
pp. 2653-2658
Author(s):  
Zhi Jun Yan ◽  
Ming Yue Zhang ◽  
Chun Xiao Xu ◽  
Hai Tao Zhao ◽  
Yue Ping Tang ◽  
...  

Water consumption per ten thousand yuan industrial added value (WCPIAV) is the assessment indicator to implement the most stringent water management system to control water efficiency. This paper proposes trend analysis method, elasticity coefficient analysis method and influencing factors analysis method to predict WCPIAV in Jiangsu province, the experimental areas where implement the most stringent water management system. The results show that different methods predict well in different cities, influencing factors analysis method works better than the other two methods. An appropriate method should be selected depending on the specific situation.


Author(s):  
Aamir Khambati Et.al

The research paper proposes an effective solution to the critical problem of management of water resources. With the growing awareness of the need for water conservation, the world is gearing to accommodate and implement latest technology for the optimum utilisation of the drying up reservoirs. This paper aims at developing a cost effective, portable and ready to plug mechanism labelled as “Innovative Smart Water Management System Using Artificial Intelligence” which shall monitor the proportion of water usage per household and keep a tracking on metric usage on the water usage on a weekly, monthly or a yearly basis. The data generated will be established and collected in the Firebase server.  Based on the collected data, it shall also make predictions on the usage and hence allocate resources in a controlled fashion as per requirement. Later the data will be modelled in Time Series fashion to generate real time prediction of water consumption for the household respectively. The water consumer can track the usage by a custom-made android application on MIT App Inventor. Extensive, detailed instructions have been provided on the initial setup procedure and installation. The water monitoring module is used on a daily basis and a tab is kept on the amount of water spilled. This will keep a check on the casual approach of people towards water. It will also encourage a more systematic method to handle water resources and hence would result in better conservation efforts


2020 ◽  
Author(s):  
Prachi Yeram ◽  
Nobin Gonsalvez ◽  
Clinton D’Souza ◽  
Elizabeth Abraham ◽  
Vinay Patil

2021 ◽  
Author(s):  
Hui Zeng ◽  
Gaurav Dhiman ◽  
Ashutosh Sharma ◽  
Amit Sharma ◽  
Alexey Tselykh

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