## 3 Results
### Analysis of AI and Smart Technology Applications Across Industry Sectors
#### 3.2.7 Integration of AI and Smart Technologies in Safety Management for Smart Home and Living  
In the smart home and living sector, AI and smart technologies significantly enhance safety management by addressing critical factors such as accident prevention, legal compliance, human life protection, property protection, operational efficiency, fire and CO poisoning prevention, energy management, and health management. AI-driven solutions include ontology-based approaches using Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL) to build comprehensive risk recognition systems. Intelligent gas meters and automated fire suppression systems manage gas-related risks effectively, while Non-Intrusive Appliance Load Monitoring (NIALM) utilizes machine learning algorithms to monitor and control appliance usage, optimizing energy consumption and preventing electrical faults. Smart health monitoring systems integrate IoT sensors and predictive models to continuously assess residents' health and environmental conditions.  
\begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt}} \hline \hline
**Safety Management Factor** & **AI and Smart Technology Research Methods** & **Research Number** \\ \hline
**Occupational Risk Management and Prevention** & - Conducted risk analysis, including identification, analysis, and evaluation of occupational hazards. & [66; 67] \\
**A**- Developed AI-based predictive analytics and machine learning algorithms to assess healthcare workers’ exposure to risks. & \\  & - Implemented safety management systems utilizing smartphone GPS technologies. & \\ \hline
**Smart Health Monitoring and Prevention** & - Developed wearable devices with AI and IoT sensors for real-time physiological data collection (e.g., heart rate, blood pressure). & [65] \\  & - Integrated EEG and ECG sensors in smart masks with mobile apps for displaying health metrics. & \\  & - Utilized digital twin models for real-time safety scenario simulations and assessments. & \\ \hline
**Mental Health Management and Prevention** & - Implemented AI chatbots and applications using natural language processing for mental health support. & [68] \\  & - Applied machine learning models to identify signs of mental health issues from user interactions. & \\  & - Utilized predictive analytics and wearable sensors to monitor and prevent mental health crises. & \\ \hline
**Technological Integration and Ethical Implementation** & - Developed AI governance frameworks to ensure ethical use of AI in smart cities. & [66] \\  & - Employed secure data management practices to protect patient privacy and ensure transparency. & \\  & - Utilized explainable AI (XAI) to make AI decisions interpretable by healthcare professionals. & \\  & - Integrated cloud and edge computing for efficient data processing and management. & \\ \hline \hline \end{tabular}
\end{table}
Table 7: AI and smart technology research methods for safety management factors in the health sector.  
AI-powered security systems employ computer vision and anomaly detection to protect property by identifying unauthorized access or unusual activities. Additionally, AI governance frameworks ensure the ethical implementation of these technologies, safeguarding data privacy and promoting transparency. Real-time monitoring and alert systems leverage wireless modularization and networking technologies to provide immediate responses to potential hazards, enhancing overall safety and operational efficiency.  
Furthermore, digital twin models simulate safety scenarios in real time, offering immersive fire and CO poisoning prevention through advanced sensor integration and predictive analytics. Table 8 provides information on AI and smart technology research methods for safety management factors in the smart home and living sector. These applications demonstrate how AI and smart technologies effectively address safety challenges in smart homes, leading to improved safety, security, efficiency, and health outcomes for residents.