Design of an Automatic Rooftop Water Tank Filling System and Measurement of Consumed Water for Home Appliance

Ali, Anas; Rahman, Mahfuzur; Siddique, Moradul; Galib, Syed; Nashiry, Asif

doi:10.5875/ausmt.v13i1.2371

Int. J. Autom. Smart

2023

DOI: 10.5875/ausmt.v13i1.2371

|View full text |Cite

Design of an Automatic Rooftop Water Tank Filling System and Measurement of Consumed Water for Home Appliance

Anas Ali,

Mahfuzur Rahman,

Moradul Siddique

et al.

Abstract: This paper introduces a novel design and development of an automated water tank filling system. The system effectively regulates the operation of a water pump by monitoring the water level in a roof-top tank. Key considerations in the design include addressing power outages during pump operation, accommodating different tank dimensions, recording water consumption and implementing preventive measures against dry running of the pump. The installation and maintenance of the system are straightforward. The implem… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Modeling tracking the influence of factors on functioning of transport nodes

Hanzheiev,

Dzhus,

Falendysh

et al. 2024

MATEC Web Conf.

View full text Add to dashboard Cite

The research focuses on simulation modeling of the influence of factors on transport nodes. The utilization of electronic devices and sensors to track factors that are difficult to take into account by conventional methods is considered. The research emphasizes the importance of simulation modeling for the analysis of complex systems and offers the concept of applying modern technologies to accurately collect real data and create more realistic impact models. In the course of the research, current theories and developments concerning modern trends in simulation modeling were analyzed, areas that require clarification and additions were identified. In the experimental part, a simplified electronic circuit of a device for generating pulses, which is sensitive to the readings of real-time sensors, is proposed. The use of such devices can facilitate the collection of primary information about operational changes in the city’s road network, the formation of data arrays for traffic management systems. The development is of significant importance for identifying stochastic factors in certain areas and transport hubs, as well as determining the intensity of stochastic effects.

show abstract

Modeling tracking the influence of factors on functioning of transport nodes

Hanzheiev,

Dzhus,

Falendysh

et al. 2024

MATEC Web Conf.

View full text Add to dashboard Cite

show abstract

Safe Optimal Control of Dynamic Systems: Learning from Experts and Safely Exploring New Policies

Candelieri,

Ponti,

Fersini

et al. 2023

Mathematics

View full text Add to dashboard Cite

Many real-life systems are usually controlled through policies replicating experts’ knowledge, typically favouring “safety” at the expense of optimality. Indeed, these control policies are usually aimed at avoiding a system’s disruptions or deviations from a target behaviour, leading to suboptimal performances. This paper proposes a statistical learning approach to exploit the historical safe experience—collected through the application of a safe control policy based on experts’ knowledge— to “safely explore” new and more efficient policies. The basic idea is that performances can be improved by facing a reasonable and quantifiable risk in terms of safety. The proposed approach relies on Gaussian Process regression to obtain a probabilistic model of both a system’s dynamics and performances, depending on the historical safe experience. The new policy consists of solving a constrained optimization problem, with two Gaussian Processes modelling, respectively, the safety constraints and the performance metric (i.e., objective function). As a probabilistic model, Gaussian Process regression provides an estimate of the target variable and the associated uncertainty; this property is crucial for dealing with uncertainty while new policies are safely explored. Another important benefit is that the proposed approach does not require any implementation of an expensive digital twin of the original system. Results on two real-life systems are presented, empirically proving the ability of the approach to improve performances with respect to the initial safe policy without significantly affecting safety.

show abstract

Automated Water Management System With Ai-Based De-Mand Prediction

Nakib

2024

IAPGOS

View full text Add to dashboard Cite

Access to fresh water has become a headache for many nations around the world today due to water scarcity. Since this aspect is increasing, this paper introduces a system to estimate the households’ water needs in a day taking into consideration, the size of the family, zone, temperature, season, working status, location, and religion. By applying machine learning, the system determines the balance of water distribution between the families by these parameters. The predicted values determine the water requirements for each household hence the distribution of water in the households on a particular day. This includes the use of an Arduino microcontroller, water flow meter, and solenoid valves that make the water supply system to be an automatic system. As a result of this, the system helps to control the wastage of water and also ensures that the amount of water required in each home is assessed accurately.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Design of an Automatic Rooftop Water Tank Filling System and Measurement of Consumed Water for Home Appliance

Cited by 3 publications

References 14 publications

Modeling tracking the influence of factors on functioning of transport nodes

Modeling tracking the influence of factors on functioning of transport nodes

Safe Optimal Control of Dynamic Systems: Learning from Experts and Safely Exploring New Policies

Automated Water Management System With Ai-Based De-Mand Prediction

Contact Info

Product

Resources

About