scholarly journals Energy Efficient IoT Home Monitoring and Automation System (EE-HMA)

2020 ◽  
Vol 8 (5) ◽  
pp. 3176-3185

The paper focuses on using ICT tools for smart home applications. It presents the design and implementation of a system to monitor and analyze the energy consumption, utilize lights when needed, program the temperature by identifying inhabitants' absence and setting the temperature appropriately high or low. The system also uses colored LEDs to alert inhabitants of different parameters, to turn their loads on and off based on the cost of electricity use as well as to enable them to control some of their home appliances usage through a mobile application to reduce electricity usage and minimize energy waste.

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Olutosin Taiwo ◽  
Absalom E. Ezugwu

The smart home is now an established area of interest and research that contributes to comfort in modern homes. With the Internet being an essential part of broad communication in modern life, IoT has allowed homes to go beyond building to interactive abodes. In many spheres of human life, the IoT has grown exponentially, including monitoring ecological factors, controlling the home and its appliances, and storing data generated by devices in the house in the cloud. Smart home includes multiple components, technologies, and devices that generate valuable data for predicting home and environment activities. This work presents the design and development of a ubiquitous, cloud-based intelligent home automation system. The system controls, monitors, and oversees the security of a home and its environment via an Android mobile application. One module controls and monitors electrical appliances and environmental factors, while another module oversees the home’s security by detecting motion and capturing images. Our work uses a camera to capture images of objects triggered by their motion being detected. To avoid false alarms, we used the concept of machine learning to differentiate between images of regular home occupants and those of an intruder. The support vector machine algorithm is proposed in this study to classify the features of the image captured and determine if it is that of a regular home occupant or an intruder before sending an alarm to the user. The design of the mobile application allows a graphical display of the activities in the house. Our work proves that machine learning algorithms can improve home automation system functionality and enhance home security. The work’s prototype was implemented using an ESP8266 board, an ESP32-CAM board, a 5 V four-channel relay module, and sensors.


2020 ◽  
Vol 3 (1) ◽  
pp. 455-464
Author(s):  
Ömer Gül ◽  
Uğur Bayrak

In recent years, people may disremember to turn off various devices or not be sure open or closed. Predefined scenarios for these people, home comfort and efficiency in the workplace will help a lot. Most people spend time with mobile phones throughout the day. Therefore, the control of smart devices by phones would be an appropriate solution. In this study, it is designed with microcontroller based intelligent building automation system hardware and software to provide energy efficient, security and comfort. The programming of the microcontroller, writing the android application program for the mobile phone and MySQL database software were realized. Microcontroller with GSM shield, it is possible to control the devices connected to the system by an android application automatically and manually by means of the internet connection by the MySQL database on the remote server. It is ensured that all devices are adjusted with a single touch according to predefined scenarios.


The demand for energy is increasing rapidly and, after a few years, it may surpass the available energy, which may lead the energy providers to increase the cost of energy consumption to compensate the cost for the production. This paper provides design and implementation details of a prototype big data application developed to help large buildings to automatically manage their energy consumption by setting energy consumption targets, collecting periodic energy consumption data, storing the data streams, displaying the energy consumption graphically in real-time, analyzing the consumption patterns, and generating energy consumption graphs and reports. The application is connected to Mongo NoSQL backend database to handle the large and continuously changing data. This big data energy consumption management system is expected to help the users in managing energy consumption by analyzing the patterns to see if it is within or above the desired consumption targets and displaying the data graphically.


2021 ◽  
Vol 6 (2) ◽  
pp. 03-17
Author(s):  
Gazal Dandia ◽  
◽  
Pratheek Sudhakaran ◽  
Chaitali Basu ◽  
◽  
...  

Introduction: High energy consumption by buildings is a great threat to the environment and one of the major causes of climate change. With a population of 1.4 billion people and one of the fastest-growing economies in the world, India is extremely vital for the future of global energy markets. The energy demand for construction activities continues to rise and it is responsible for over one-third of global final energy consumption. Currently, buildings in India account for 35% of total energy consumption and the value is growing by 8% annually. Around 11% of total energy consumption are attributed to the commercial sector. Energy-efficient retrofitting of the built environments created in recent decades is a pressing urban challenge. Presently, most energy-efficient retrofit projects focus mainly on the engineering aspects. In this paper, we evaluate various retrofitting options, such as passive architectural interventions, active technological interventions, or a combination of both, to create the optimum result for the selected building. Methods: Based on a literature study and case examples, we identified various energy-efficient retrofit measures, and then examined and evaluated those as applied to the case study of Awas Bhawan (Rajasthan Housing Board Headquarters), Jaipur, India. For the evaluation, we developed a simulation model using EQuest for each energy measure and calculated the resultant energy savings. Then, based on the cost of implementation and the cost of energy saved, we calculated the payback period. Finally, an optimum retrofit solution was formulated with account for the payback period and ease of installation. Results and discussion: The detailed analysis of various energy-efficient retrofit measures as applied to the case study indicates that the most feasible options for retrofit resulting in optimum energy savings with short payback periods include passive architecture measures and equipment upgrades.


Increasing cost in energy sector demands for structured use of energy. It is vital to understand the rate of energy consumption during specific period utilizing Energy Meters. Energy consumption can be measured using a traditional energy meter; however, their use is restricted in inaccessible areas or in occasion of poor visibility resulting in limited functionality. Also, the main drawback is that a person has to take readings area by area from every house and institute make it time consuming. We propose a Cloud based Wireless Energy Meter [1] which can send data via wireless communication (cloud computing) to a PC or mobile phones in the form of E-mails or mobile application notification or through web page; where surveillance and analysis of the data will be made. This computational system can be used to measure energy quantities of transformers and high voltage towers at remote locations, industries, domestic area, and institutions.


2015 ◽  
Vol 719-720 ◽  
pp. 298-305
Author(s):  
Qin Yan ◽  
Wen Shang ◽  
Jun Zhong ◽  
Qi Xin Zhu

Inspired by the astonishing ability of the fish, more and more researchers devote themselves to improving the performance of the underwater robotic propeller. In this paper, a novel design and a preliminary performance study of a lightweight robofish are presented. Firstly, the principle of the actuator by magnetomotive force is introduced. Secondly, the implementation of the biomimetic robofish is investigated. Finally, several expriments are conducted to explore the energy consumption of the magnetomoive force actuator and the affection of the kinematic parameters on the velocity. The experimental results reveal that the novel biomimetic robofish driven by magnetomotive force has a low energy consumption and shows good performance in swimming.


Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3811
Author(s):  
Fabian García-Vázquez ◽  
Héctor A. Guerrero-Osuna ◽  
Gerardo Ornelas-Vargas ◽  
Rocío Carrasco-Navarro ◽  
Luis F. Luque-Vega ◽  
...  

As the development of systems in smart homes is increasing, it is of ever-increasing importance to have data, which artificial intelligence methods and techniques can apply to recognize activities and patterns or to detect anomalies, with the aim of reducing energy consumption in the main home domestic services, and to offer users an alternative in the management of these resources. This paper describes the design and implementation of a platform based on the internet of things and a cloud environment that allows the user to remotely control and monitor Wi-Fi wireless e-switch in a home through a mobile application. This platform is intended to represent the first step in transforming a home into a smart home, and it allows the collection and storage of the e-switch information, which can be used for further processing and analysis.


2020 ◽  
Author(s):  
Tanweer Alam ◽  
Abdulrahman A. Salem ◽  
Ahmad O. Alsharif ◽  
Abdulaziz M. Alhujaili

The home automation system is indeed a system that offers a mobile application to monitor it through the smartphone or tablet. It can control home appliances like light, fans, air conditions, and smart security locks, etc. Bluetooth or Wi-Fi is used for remote control of things. Smart home is essentially how it looks: automating with such an easy touch of a button or a voice command the ability to manage things across the home. Several operations were both simple and extremely low-cost, such as setting up a light to turn on and off at the time of your moment. Others need much more money and resources, including advanced spy cameras. Some people thought that technology is taking a really huge part of our lives. It does! we’re living in a modern generation where smart and intelligent systems are necessary to be there wherever we are to make our lives easier and much better, for example, we can do many things faster, better, and more accurate.


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