This paper aims at presenting the Smart Home concept. This paper describes in detail - a) The Smart Home concept b) Our concepts to model the Smart Home using smart devices c) Adaptive decision making using artificial intelligence and big data d) Large scale implementation of this concept to model a Smart Locality, Smart City up to the level of Smart country.
Contrary to the other projects, this work is directed towards a sensors approach and an ontology modelling of the Smart Home. This work has the originality to take into account the real heterogeneity of information present in a habitat. This paper is a good overview to present what is a Smart Home and which are the necessary hardware and software components to make a Smart Home. Smart Home concept has been implemented using smart devices, adaptive decision making using artificial intelligence and big data. The work is directed towards a sensor approach and ontology modelling. This work focuses towards large scale implementation for smart systems.
Table of Contents
I. INTRODUCTION
II. DESIGN AND DESCRIPTION OF SMART HOME SYSTEM WITH INTELLIGENT DECISION MAKING AGENT
III. CONCLUSION
Research Objectives and Core Topics
The primary objective of this paper is to present a comprehensive Smart Home concept, detailing the necessary hardware and software components, and exploring how these systems can be scaled from individual households to entire smart cities through the use of IoT, big data, and artificial intelligence.
- The foundational concept of a Smart Home environment.
- Adaptive decision-making processes using artificial intelligence and big data.
- Indoor and outdoor usage scenarios for smart home automation.
- Large-scale implementation strategies for smart systems.
- The role of sensor approaches and ontology modeling in habitat information management.
Excerpt from the Publication
II. DESIGN AND DESCRIPTION OF SMART HOME SYSTEM WITH INTELLIGENT DECISION MAKING AGENT
In a schematic way, a smart home can be described by a house which is equipped with smart objects, a home network make it possible to transport information between objects and a residential gateway to connect the smart home to the outside Internet world. Smart objects make it possible to interact with inhabitants or to observe them. Those smart objects can be just a light that we can control or ask it about it state, a refrigerator which knows its state and is able to supply in line by itself, telephony, security systems, and videos on demand. Those entire objects will be connected on the home network to give their states or receive instructions. Home networking allows the home to become fully connected, controlled externally as well as internally. The residential gateway offers an extern access by the way of Ethernet or Internet network. This gateway makes it possible to the house to connect new services and to download them. The service provider is in charge of the new services for inhabitants and their accessibility. ‘Figure 1’ depicts the smart home. A smart home is composed of appliances like washing machine, refrigerator, sensors, and motors, some user interfaces like voice, visual or graphical. There is a residential gateway which connects to the internet.
In our Smart home concept, the following use cases are described: 1. Indoor environment: ‘Figure 2’ depicts a local network of smart devices communicating with each other performing sensing, monitoring and controlling functions. The Smart TV will act as the central monitoring unit for all devices as well as a gateway for man machine interface. Smart devices such as smart refrigerator, smart door, smart washing machine etc. will push a notification message on the Smart TV screen in case of any activity status update. The smart devices will also send a push notification if any decision is required from the inhabitants.
Chapter Summaries
I. INTRODUCTION: This chapter provides an overview of the rise of IoT and Wireless Sensor Networks, defining the vision of smart homes as integrated environments that monitor activities and automate domestic tasks.
II. DESIGN AND DESCRIPTION OF SMART HOME SYSTEM WITH INTELLIGENT DECISION MAKING AGENT: This section details the technical framework of a smart home, explaining the roles of residential gateways, smart objects, and adaptive AI agents in creating automated, data-driven user experiences.
III. CONCLUSION: The final chapter summarizes the necessity of smart home components and reiterates the potential for scaling these technologies into broader smart localities, cities, and nations.
Keywords
Internet of things, IOT, smart TV, smart devices, hand held devices, smart wearables, wireless sensor network, smart home, artificial intelligence, big data, intelligent infrastructure, automation, sensors, residential gateway, cloud computing
Frequently Asked Questions
What is the core subject of this paper?
The paper focuses on the conceptualization and implementation of Smart Home environments, specifically utilizing IoT, smart appliances, and AI-driven decision-making systems.
What are the central themes discussed?
Key themes include IoT integration, intelligent home automation, adaptive decision-making agents, and the scalability of smart environments from homes to smart countries.
What is the primary goal of the research?
The primary goal is to present a detailed overview of what constitutes a Smart Home and to demonstrate how these systems can be implemented and scaled to improve the standard of living.
Which scientific methodology is utilized?
The research adopts a sensors-based approach combined with ontology modeling and big data analytics to create an intelligent agent capable of learning inhabitant behavior.
What is covered in the main body of the work?
The main body covers the design of smart home systems, including specific use cases for indoor and outdoor environments and the logic behind adaptive decision-making systems.
Which keywords best characterize this work?
Key terms include Internet of Things (IoT), Smart Home, Artificial Intelligence, Big Data, Wireless Sensor Networks, and Intelligent Infrastructure.
How does the system handle "equally probable" decisions?
In scenarios where an AI agent cannot determine a preference between 'Yes' and 'No' based on history, it sets the decision to 'Null' and prompts the human inhabitant for input.
Can a user override the AI's decision-making process?
Yes, the system allows inhabitants to override automated decisions, and for sensitive security tasks, users can disable the adaptive system entirely.
How does the smart home scale to a city level?
By connecting multiple smart localities, offices, and infrastructure via large-scale wide area networks, the data collected from individual smart homes feeds into a common cloud, enabling smart city and smart nation management.
- Quote paper
- Mr. Sudarshan Kamlakar Shelgaonkar (Author), 2016, Creating a smart home environment with IOT driven home appliances, Munich, GRIN Verlag, https://www.hausarbeiten.de/document/334841
