Research Information

Development of AI-based Smart Housing Platform and Intelligent Convergence Housing Service Technology
  • Date2022-12-27
  • Hit184

Development of AI-based Smart Housing Platform and Intelligent Convergence Housing Service Technology



▲ Senior Researcher Ahn Ki-uhn, Department of Building Research, KICT


Development of AI-based Smart Housing Platform and Intelligent Convergence Housing Service Technology Smart Gadgets and Devices Housing Infrastructure


The demand to improve the quality of life and housing welfare of residents is growing, reflecting changes in the sociodemographic structure. Accordingly, a new type of housing infrastructure is also being established in the construction field to incorporate “smart” technologies into the residential space itself thanks to the spread of Fourth Industrial Revolution technologies such as AI, IoT, and Cloud. Existing smart home services are dependent on manufacturers and construction companies, from which all households and complexes are provided with a common platform and services; residents lack the freedom to select services, and there are restrictions on the introduction of new services. To overcome this problem, a smart housing environment is being built to support the independence of residents in selecting and using services through a platform with openness and scalability, where anyone can develop and register various services. The goal of this article is to introduce the concept and development direction of smart housing platforms and services that support the new housing infrastructure.



The Concept of Smart Housing

Smart housing is housing that provides an optimized spatial environment and services by linking and converging a physical smart house comprised of the space, environment, home appliances, devices, etc. which make up a house and related technologies, such as big data information technology, IoT smart home technology, and intelligent AI technology (Figure 1). These houses are realized as a new housing infrastructure, where the residential space itself acts a means of collecting information and providing services.



Smart Housing Platform

Existing smart home services require new physical components, such as devices and networks, to be newly built to use the services provided by providers. On the other hand, in smart housing, it is possible to provide and expand services without physical resource constraints by securing data and utilizing platform functions through the existing infrastructure, such as residential spaces, complexes, and smart cities. In this section, the smart housing platform service functions operating in the Cloud environment are explained by dividing them into IaaS (infrastructure as a service), PaaS (platform as a service), and SaaS (Software as a service) (Figure 2).

IaaS, a physical resource to implement smart housing, consists of sensors for collecting data, gateways for sending and receiving data between sensors and platforms, and servers for data storage, AI analysis, and service operation management. In particular, various sensors and IoT devices are embedded in the infill, allowing them to sense the physical elements of the living space. Gateways can be equipped with multi-protocol conversion handling capabilities to accommodate the networking diversity of data sources. At this time, a standard protocol defining the data format and communications standard are prepared to support wide-area service provision and data utilization.

The main functions of smart housing PaaS include security, integrated management of storage, multiple access/distributed processing, and the use of an AI analysis engine. First, security features authorization that grants user authentication and authority, encrypted communications between the housing environment and platform, and encryption and decryption of blockchain-based stored data. Data is managed according to the standard format classification system based on the smart housing standard protocol and supports the utilization of real-time and stored data. In addition, it has analysis/service spaces and functions to distribute and handle multi-processes, for load management according to multi-user access and service execution. PaaS integrates and manages AI models that can be used for residential services by data type, such as time series, voice, and video, in an AI bank, and provides an AI analysis engine API function that can be used for service model development and calculation.

Finally, the smart housing SaaS operates and manages intelligent residential services such as fire, crime prevention, comfort, convenience, and maintenance on the platform, and has functions to provide them to requesters using the service. Moreover, by utilizing the AI analysis engine function of PaaS, it has a scalability of functions which allows external developers to freely discover and develop services, and register them on the platform to distribute and operate services.



Safe Life	Smart Gadgets and Devices	Housing	Paradigm Shift	Smart Gadgets and Devices	Housing Infrastructure Convenient LifeHealthy Life Cost Down Low-energy Use Life Safe Life Convenient Life Healthy Life Low-energy Life Simple Introduction of Concepts for Smart Gadgets and Devices Evolving into Housing Infrastructure Tailored to the Concept of Smart Housing The residential complex itself is reconstituted as a housing infrastructure tailored to the smart housing concept, from smart homes where smart gadgets and devices are simply introduced to housing units Figure 1 Smart Housing Concept


Machine Learning Wireless Module	Smart Housing Residential Service Registration Management System	Utilization Service Service Request (User)	Model Data	Data Visualization Service Operation (Platform)	Register/Add/Delete Service Registration (Developer)	Data for Learning	Machine Learning	Model Data	Smart City Data, AI Levels 1 & 2 Analytics Engine	AI-based Smart Housing Data Analysis System	Data Management Resident Analysis (2nd Stage Analysis Engine)	Temperature Change Service Logic Service Logic	Rule-based	AI Development and Utilization (1st Stage Analysis Engine)	Deep Learning-based Self-learning Model Data	Humidity Change Service Logic	Multiple Access and Distributed Processing	Condition Change Service Logic	Machine Learning Based	Integrated Storage Management	IoT Protocol Communications Module	Housing Environment Database Security	IoT Protocol Interworking Data, Storage Analysis Support, Network Environment	External Data and Connection	IoT-based Housing Environment Facility Infrastructure (Smart Housing)	Smart Housing Residential Service Standard Protocol	Temperature Sensor	Humidity Sensor	Open/Close Sensor	Residential Safety	Residential Convenience	Residential comfort Platform Gateway	Temperature Actuator	Humidity Actuator	Open/Close Actuator Sensor	Figure 2 Smart Housing Platform Function (Left) and Conceptual Diagram (Right)


Service Type	Definition Fire Safety	Technology that collects key information in the event of a fire risk for a building, provides AI-based analysis results to members and provides support to residents to prevent and respond to fire risks Crime Prevention Safety	ICT convergence technology for risk prevention and on-site response, and residential safety service that enables real-time propagation through the detection of abnormal situations specialized in criminal environments Comfort + Clean	Non-awareness personalized comfort technology that considers the health status of family members by integrating individually operated home appliances into one system Smart Windows	A cladding system that automatically responds to indoor and outdoor environmental conditions and residents' needs to automatically adjust natural light, solar inflow, view, etc. Smart Wall Telecommuting Support	The AI device is embedded in the infill to make the living space elements sensory and intelligent, and to support space variable technology according to the AI information expression and lifestyle Maintenance	In-house maintenance technology that conveniently and promptly handles tenants' requests to repair defects and helps managers to systematically manage defect information through a DB Table 1 Smart Housing Service Types and Definitions



Smart Housing Service

To implement smart housing, we are developing AI-based convergence services in the four areas of safety, comfort, convenience, and maintenance by analyzing the needs of residents (Table 1), and are preparing to operate platform-based services. In addition, based on the function of the smart housing platform, new services are being discovered and expanded in various residential spaces and fields (Figure 3).


Private Room (11) 1. IoT Health Management System 2. Real-time Health Monitoring (System, Robot) 3. Measurement of Sleep Pattern and Environment (Customized Sleep Control) 4. Emergency Situation Monitoring, Emergency Rescue 5. Personalized Smart Workouts 6. Smart Medicine Box, Scale, Bed, and Toilet 7. Smart Dressing Table 8. O2O Product Purchase (Smart Business/Commercial District) 9. Lifestyle Analysis 10. Support for Culture & Leisure Programs 11. Support for Online/Offline Education Environment and Programs	Eco-friendly/Energy (7) 1. Energy Monitoring (Smart Metering) 2. Distributed Power (Utilization of New and Renewable Energy) 3. Automated Operations 4. Remote Meter Reading System for Energy Consumption by Household 5. Water Management System 6. Energy Storage System 7. Utilization of New and Renewable Energy	Front Door (7) 1. Integrated Safety Management System (Security App) 2. Smart Access System (Access Management) 3. Front Door Security Sensor (Detection of Sounds from Intrusion and Abnormal Movement) 4. Front Door Camera (Audio Transmission by Door Viewer) 5. Detection of Door Opening in Households 6. Main Building Entry Controller 7. Security Cameras, Home CCTVs	Living Room (8) 1. Assistance in Daily Life through Devices 2. Indoor Environment Control, Automation (Temperature, Humidity, etc.) 3. Environment Control System Board 4. Learning, Prediction Control Sensors, Systems 5. Measuring Indoor and Outdoor Air Quality, Providing Customized Solutions 6. Particulate Matter Awareness Air Shower 7. IoT Intelligent Ventilation Solution 8 Inter-floor Noise Alarm System Mobile Applications (8) 1. Group Control of Home Appliances, etc. (Remote System Linkage) 2. Indoor Environment Control (Electricity, Air, AC/Heating, Lighting) 3. AI Secretary Service 4. Multi-function Smart Switch 5. Operation of Participatory Decision-making System 6. Social Platform-based Community Support 7. Life Information Provision Service 8. Community Programs, Facility Reservation Service	Kitchen (4) 1. Intelligent Smart Home Appliances 2. Providing Smart Cooking Information 3. Auto On/Off Timer 4. Smart Alarms	Bathroom (3) 1. Bathroom Emergency Pager 2. Smart Toilet 3. Intelligent Bathroom Fan (Air Circulation Fan) Main Entrance/Parking Lot (7) 1. Smart Vehicle Access Security (Vehicle Controller) 2. Parking Location Recognition System (Smart Parking) 3. Vehicle Guidance Indicator Light and Number of Available Parking Spaces Displayed 4. Smartphone Parking Guidance 5. EV Charging Stations (Infrastructure) 6. Shared Mobility Service (Car Sharing) 7. Underground Parking Lot LED Illuminance Control Device	GIS-based Systems (3) 1. Real-time Location Information System 2. Checking of Location Information for the Socially Underprivileged 3. Safety of the Elderly within the Household	Pedestrian Conditions (3) 1. Creating a Safe Commuting and Returning Environment 2. Missing Persons Prevention System 3.




The Korea Institute of Civil Engineering and Building Technology (KICT) is conducting research on "AI-based smart housing platform and service technology development" to provide an environment that enables the dissemination, development, and operation of creative and innovative services for high-quality housing environments. Through this research, it is anticipated that the foundation for future-oriented responsive housing welfare will be strengthened, and related industries such as housing services and smart devices will be revitalized by establishing a platform ecosystem in the area of smart housing.