Development of Smart Residential Environment Control System

Abstract

Today's world places increasing emphasis on comfort within living spaces. The growth in awareness of energy conservation and environmental preservation has gradually contributed to the widespread use of smart home control systems. In this study, data related to human comfort conditions were compiled, and the control of smart devices in home environments was explored. Specifically, information communication technology and the Internet of Things (IoT) were combined to create a smart control system that creates a comfortable, energy-conserving home environment through the concurrent monitoring of both indoor and outdoor environmental data. If the outdoor indicators are ideal (denoting a comfortable environment) but the indoor indicators are not ideal (denoting an uncomfortable environment), the system opens a window to allow the incorporation of favorable outdoor environmental factors into the indoor environment. When the outdoor environment is uncomfortable, the window is closed to prevent the infiltration of unfavorable outdoor environmental factors. When the indoor indicators are nonideal, various types of equipment are activated according to the detection values. For example, when the humidity level is overly high, the dehumidifier is turned on. When the concentration of particulate matter with a diameter of < 2.5 µm is overly high, the air purifier is turned on. When the temperature is too high or low, the air conditioner is turned on, and when the CO 2 concentration is too high, the fan is turned on for ventilation. The values detected by each sensor and the operating conditions of each device are also displayed on the screen for the reference of the user, who can adjust the threshold values to their preferences.

Building Facility Management System Using Sensors and Digital Technologies

“…These interact at different interfaces at the same time in the IoT system to transmit and receive data in a network. (9) Operations in the network require cloud computing connected to the Internet infrastructure. This approach is used for BIM with real-time data.…”

A Smart Home Energy Management System Utilizing Neurocomputing-Based Time-Series Load Modeling and Forecasting Facilitated by Energy Decomposition for Smart Home Automation

“…Smart grids can make existing cities ready for future needs, such as those of smart homes. In brief, a smart grid can be defined as an electric power grid that uses smart metering, automatic monitoring, and intelligent control techniques in conjunction with information and communication technologies and Artificial Intelligence of Things (AIoT) technology to operate more efficiently, enabling energy conservation and carbon emission reduction [2]- [7]. In a smart grid with widespread deployment of power-utilityowned smart meters instead of traditional rotating-disc meters, it has become possible to automatically collect electrical energy consumption data at much more finegrained spatial and temporal resolutions and to analyze these data at a more granular level for several useful consumercentric use cases [8]- [10].…”