Smart House System Research Articles

ТЕХНИКО-ЭКОНОМИЧЕСКИЕ И СОЦИАЛЬНЫЕ АСПЕКТЫ СИСТЕМЫ "УМНЫЙ ДОМ" ДЛЯ РАБОТНИКОВ АГРОПРОМЫШЛЕННОГО КОМПЛЕКСА РОССИИ

Ensuring the efficient operation of agricultural enterprises depends on many factors, including the availability of qualified specialists. An important condition for attracting personnel to rural areas is the creation of comfortable social and living conditions. The Smart house system makes it possible to create comfortable social and living conditions for young professionals to live in rural areas. At the same time, these systems are complex and expensive, so their implementation requires a comprehensive study of technical, economic and social aspects. The article presents the Smart House concept for a rural residential building with an area of 150 m2 in the Krasnoyarsk Region of the Russian Federation. An important issue is the development of a methodology for assessing the economic efficiency of a project. Efficiency criteria should consider not only cost indicators, but also assessment of social effects. A list of qualitative parameters has been compiled and a methodology for their calculation is given. Calculation of efficiency indicators has been carried out. According to the results of a feasibility study for the use of the automated Smart House system, the reduction in operating costs is 460 thousand rubles/year. By saving on electricity bills and reducing the risk of economic losses, as well as improving the standard of living of rural specialists, it is possible to recoup additional costs within 2 years. Net present value for 3 years will be 118 thousand rubles.

Smart house system for safety of elderly living alone based on camera and PIR sensor

With the improvement of human life quality, life expectancy generally increases. As a result, more and more elderly people living alone appear. Recently, the safety problems of the elderly living alone have attracted more and more attention from the public. Due to living alone, the elderly cannot be found at the first time when an accident occurs indoors or out, and the rescue time is delayed. This article proposes a way to use the speed up module to realize real-time face detection on the Raspberry Pi and optimize the processing of PIR sensor signals and write a logic system based on the camera and PIR signals to record and analyze the life of the elderly living alone and warning system to their family members.

Smart building block with colored radiative cooling devices and quantum dot light emitting diodes.

In this study, we design a smart building block with quantum-dot light-emitting diode (QLED) and colored radiative cooling devices. A smart light-emitting building block is fabricated using a bottom-inverted QLED that emits green light, an insulating layer, and a top radiative cooling structure that emits mid-infrared light. The heat generated during QLED operation is measured and analyzed to investigate the correlation between heat and QLED degradation. The top cooling part is designed to have no impact on the QLED's performance and utilizes Ag-polydimethylsiloxane as a visible-light reflector and mid-infrared absorber/emitter. For the colored cooling part, white radiative cooling paint is used instead of Ag-polydimethylsiloxane to improve cooling performance, and red and yellow paints are employed to realize vivid red and yellow colors, respectively. We demonstrate a smart imitation house system with a smart light-emitting building block as the roof and analyze the cooling of the heat generated during QLED operation. A maximum cooling effect of up to 9.6 °C is observed compared to the imitation house system without the smart light-emitting building block, effectively dissipating heat generated during QLED operation. The smart light-emitting building block presented in this study opens new avenues in the fields of lighting and cooling systems.

Non-destructive methods of determining the properties of materials as a component of the “SMART HOUSE” system

Adequate reflection of material properties by modern methods and devices is difficult. In addition, standardized methods do not allow to build an automated system for monitoring material properties during operation. Developing a monitoring system based on proper determination of the physical and mechanical characteristics of structural materials while the structure is in use could ensure the trouble-free operation, as well as determine the residual life buildings and structures. The research results allow us to establish the compliance of the methods for determining the properties of concrete with the control tasks and determine the limits of applicability of research methods. It is necessary to improve the accuracy of determining the physical and mechanical characteristics of reinforced concrete structures. This can be implemented by improving the method of non-destructive testing, taking into account the influence of significant factors. Systems for monitoring the properties of materials based on improved non-destructive testing methods allow to provide the SMART HOUSE system with sufficient stability and durability.

IoT based smart home automation using blockchain and deep learning models.

For the past few years, the concept of the smart house has gained popularity. The major challenges concerning a smart home include data security, privacy issues, authentication, secure identification, and automated decision-making of Internet of Things (IoT) devices. Currently, existing home automation systems address either of these challenges, however, home automation that also involves automated decision-making systems and systematic features apart from being reliable and safe is an absolute necessity. The current study proposes a deep learning-driven smart home system that integrates a Convolutional neural network (CNN) for automated decision-making such as classifying the device as "ON" and "OFF" based on its utilization at home. Additionally, to provide a decentralized, secure, and reliable mechanism to assure the authentication and identification of the IoT devices we integrated the emerging blockchain technology into this study. The proposed system is fundamentally comprised of a variety of sensors, a 5 V relay circuit, and Raspberry Pi which operates as a server and maintains the database of each device being used. Moreover, an android application is developed which communicates with the Raspberry Pi interface using the Apache server and HTTP web interface. The practicality of the proposed system for home automation is tested and evaluated in the lab and in real-time to ensure its efficacy. The current study also assures that the technology and hardware utilized in the proposed smart house system are inexpensive, widely available, and scalable. Furthermore, the need for a more comprehensive security and privacy model to be incorporated into the design phase of smart homes is highlighted by a discussion of the risks analysis' implications including cyber threats, hardware security, and cyber attacks. The experimental results emphasize the significance of the proposed system and validate its usability in the real world.

Application of the Smart House System for Reconstruction of Residential Buildings from an Obsolete Housing Stock

The smart home is amongst the most promising areas of development of communication and information technologies. In order to assure safety, comfort, and resource conservation for all users, a smart home should be viewed as a high-tech system that combines the benefits of automation technologies and contemporary construction methods. Installation of the system is possible during the construction of new buildings as well as during the reconstruction of existing buildings. In this study, the smart home system’s overall idea is considered, the necessity of using resource-saving systems and technologies is supported, and the integration of such systems with the reconstruction of low-rise residential buildings is examined. The study generated a representation of the smart home system for a particular reconstruction project as well as an application for controlling the system using a mobile device.

Building Smart House based on Speech Detection and Recognition System

Technology in all areas has entered into life in homes (achievement of housework), streets and work, in order to facilitate life matters and saving effort and time, also, the technology has entered the areas of entertainment and communication and achievement of works even remotely and achievement of work that needs strength and short time. Also, artificial intelligence has entered various applications to improve its performance; this research will offer one of the smart technology applications, which is the smart home where the instructions can be handled and performed through speech, in order to add more facilities to our lives and help some people (e.g., elderly or disabled people who live alone) who have difficulty to move and handle the regular appliances in the house. And due to the lack of voice command recognition research in Arabic has resulted in making It difficult to stratify smart house voice command services, especially in the Middle East. Speech recognition is also a nontrivial task in the processing of natural language; this proposed smart house system is based upon detection and recognition of the speech in the Arabic language. Arduino programming was used to accomplish this system.

The development of IoT Smart House Automation System controlled wirelessly via OpenHab central server

Smart home technology, also often referred to as home automation, provides homeowners security, comfort, convenience, and energy efficiency by allowing them to control smart devices, often by a smart home app on their smartphone or another networked device. A part of the internet of things (IoT), smart home systems and devices often operate together, sharing consumer usage data among themselves and automating actions based on the homeowners’ preferences. This smart home automation system will be a server-based system using the OpenHab central server that can connect and control the house appliances by using an application that can be installed on the smartphone. By using this smart house system, the user can control their home appliances from distance. It can reduce the cost and provide better time management of the household.

Smart house system as a tool to improve energy efficiency, safety and comfort: Implementing in residential development

Subject. This article discusses the importance of the Smart Home system in the development of the housing sector of Russia's regions. Objectives. The article aims to define the concept of Smart Home and justify the relevance of the introduction of innovative systems in the housing sector. Methods. For the study, we used the system, and functional and structural analyses. Results. The article defines the Smart Home system, names the system's three main principles, and describes the operation of integrated lighting, heating, water, and safety systems. Conclusions. Introducing and installing innovative smart devices will help save time, money, and energy.

Air monitoring system based on IoT

A number of researches associated the level of the COVID-19 corona virus lethality with the air pollution level. Many people are quarantined and staying at home because of a pandemic. Therefore the research and development of the air quality monitoring systems for domestic, industrial, and municipal use are relevant. Air quality monitoring systems` data collection and processing are also actual. This work aims to develop a budget intuitive integrated Internet of Things (IoT) system "Smart House". The IoT system for monitor air quality and control its parameters has been designed. The analysis of scientific-technical information, design, hardware, and software development of IoT "Smart House" system and an appropriate web application has been done to achieve this goal. Mathematical modeling, system programming, computer and microprocessor architecture, robotics, and methods of computer systems communication have been used. The integrated IoT system evaluates and analyzes the node for measuring the parameters of the environment in the room and the rules of fuzzy control according to experimental data, conducts a questionnaire to summarize the work. The main focus of the research has been on system integration, the ability to connect a large number of sensors, air quality control, and effective control of load devices in the room so that people can feel comfortable in the room. The IoT system analyzes the data about the environment indoors and outdoors using a certain algorithm. And it determines the node for measurement, using the minimum change and the minimum mean deviation. This algorithm allows us to stabilize the system management, to reduce the impact of erroneous or pseudo-erroneous data, etc. The functionality of the Smart House system allows to ensure indoor comfort and safety, to increase its energy efficiency and simplify the management of various householding automated control systems. In the future, it is going to improve the system by creating a more user-friendly interface, improving algorithms, expanding the functionality of the system, and in-depth study of the measuring and controlling air quality parameters process.

Discovering Unusual Periodically Human Activity Patterns Through Fuzzy High Utility Rare Itemsets Mining

Monitoring the resident activities is a key goal to build a safe and convenient environment in a smart house system. One way to capture the activity is by installing motion sensors around the house. By collecting the triggered sensor state, we attempt to find unusual activity patterns to notify suspicious movements or health issues information as our main goals. This study focuses to express the nature of time interval of each activity more clearly using fuzzy set. Next, this study employs fuzzy high utility rare itemsets mining to obtain some odd activities with different quantity of time intervals. Hence, we can determine how peculiar the activity. In this study, we analyzed the public human activity recognition dataset based on each single resident and their activities. As the results, we successfully catch the uncommon activity compared to the daily ones either fishy movements or sick, the illogical movement order, and the false alarm due to the limitation of sensor transmission.

Development of Online Based Smart House Renting Web Application

The house rental issue is one of the elemental parts of society. Nowadays, it is extremely difficult to find suitable accommodation in city areas if people search for it physically. On the other hand, the land owner also needs to rent the house. It can be difficult to find tenants just to hang a lease sign on a building, and as a result, they lose money. An online common platform can play a vital role in this case. The purpose of the study is to develop a common web-based online platform for both tenants and house owners so that both tenants and landowners will mutually benefit from the system. This paper presents the development of web applications for the people of Bangladesh where both house owners and tenants can register and tenants can have houses for rent via sophisticated contact with the house owner. In this paper, a common online-based smart house rental web application has been developed both for tenants and for house owners. This web application is very user-friendly, efficient and it has got many unique features that are not offered by other currently available house rental websites here in Bangladesh. Tenants can register using their phone number, store information about their identity, search for available houses, send messages to house owners, and choose a suitable house using developed web applications. House owners can also register for the system, which will manually verify and authenticate the knowledge provided by the house owner can view a tenant’s information history whenever a tenant makes contact through text and supply house-related information accordingly. The proposed online smart house system has been tested and validated. It works very efficiently with many features. The application provided faster and improved opportunities to get houses, as well as ensuring the availability of houses for rent in the greatest number of areas. The system will help to spread trustworthy services nationwide and supply users with the chance to speak and improve the house rent in Bangladesh. Because it has many smart features, this developed online smart house rental web application will make it very easy for tenants to find a house to rent. House owners, on the other hand, can easily rent out their properties.

Design and Implementation of a Smart House System with Voice Control

Smart House is an intelligent management system that integrates all equipment into a single complex. It solves various tasks in the field of security, life support, entertainment, and communication. This paper presents a complete design and implementation of a Smart House system with voice control, describes the hardware and software parts as well as the interaction between them. Voice control performed with simple instructions using Microsoft Speech Platform. Recognized commands will be encrypted on the software side and then will be sent via Bluetooth HC-06 module to the hardware side for execution. Among the developed features for the created prototype are lighting control, home temperature control, sleep mode control, the possibility of setting an alarm clock, security mode and gas leakage check. In case of problems, a user will receive a notification via email and/or SMS. Finally, this paper presents the results of experiments for voice control, which shows that voice control in Smart House is the next step in improving this intelligent system, is the next step in improving human-machine interaction and it provides great help for people with special needs and disabilities.

The application of thermal comfort control based on Smart House System of IoT

This study is based on the system architecture of the Internet of Things (IoT) Smart House, and presents an application system that uses fuzzy control to efficiently control load devices, in order to provide thermal comfort for indoor environments. This system adopts the scatter layout method to determine the best indoor node for measurement, assesses stability through minimum variation, and reliability through the minimum mean deviation, and uses a questionnaire to discuss whether the experimental data are different from human feelings. In this study, the thermal comfort index is calculated according to the ISO 7730 standard, and two methods, including the Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD), are adopted to assess the human perception of thermal comfort in the whole space. There are six kinds of data for assessment, which fall into the categories of environmental factors and personal factors. The data of the environmental factor are air temperature, mean radiant temperature, relative humidity, and air velocity, and the data of the personal factor are clothing insulation, and metabolic.

Design of Smart House System based on Webserver Architecture Control

Design of Smart House System based on Webserver Architecture Control

ECHONET Lite that is Communication Technology for Smart House and Home Energy Management System

ECHONET Lite that is Communication Technology for Smart House and Home Energy Management System

Design and Implementation of a Reliable and Environmental Friendly Smart House System

Design and Implementation of a Reliable and Environmental Friendly Smart House System

双方向インバータを用いたスマートハウスの経済運用に関する研究

Introduction of the renewable energy and energy-saving technologies that contribute to reducing environmental impact, this research have focused on smart house systems. There is few research on the economics of smart houses involving storage batteries, and the optimal operation method of a battery introduced into an individual houses based on economical efficiency is not clear. Therefore, in this research, the authors try to optimize operation method of storage battery on an individual house of one day by bi-directional inverter for smart house system. In the proposed system, purchase from the commercial power system is minimized by optimal operation of the bi-directional inverter on the predicted data of the energy balance and solar radiation amount of the next day. In addition, surplus electric power obtained by solar power generation is sold to electric power company. The proposed system consists of solar cells, storage battery, bi-directional inverters and simulated load. A bi-directional inverter optimization algorithm is installed into the controller of the proposed system. The operation of the controller is optimized by the genetic algorithm (GA), and the objective function gives the minimization of the amount of purchase electric power per one day.

Human Tracking Methods Comparison for Smart House Method Comparison in Human Tracking for Smart House Purpose

Smarthouse systems require some information of human locations in the system environment, different smart house system offers different human tracking method. The idea of this paper is to determine which method is better in which condition. This paper discusses amongst RFID, voice recognizer and temperaturesensor. As a result, each method have its own advantages and disadvantages.
 Index Terms - smart house, human tracking, voice recognition RFID, Sensor.

Optimization Data Fusion Approaches for Intelligent House System

This study production of smart house to show the entire system, the use of self-sensing module and the 8051 monocrystal chip processing sensor signals, the success achieved with the measurement of temperature, humidity, illumination, carbon monoxide sensor module. This study purposes the smart house, remote monitoring and automatic system based on consistency algorithm for multi-sensor optimization data fusion via wireless sensors network framework. The way transmits by wireless (ZigBee chips) and wired (DAQ signal acquisition device) sensor value send to the server-side carries on remote monitoring and record etc. In accordance with environmental requirements set in the server-side sensing value, usin g the infrared ray way automatic control load. When it necessity also can use the available hand-hold remote control, dual control functio ns to enable the environment to be safer and the comfortable home life.