The application of digital twin technology in building smart cities is becoming increasingly clear, serving as a crucial engine for driving urban transformation. In the development of smart cities in recent years, citizens can view the growth and development of the entire city, including population growth, new construction, and other major activities, in a 3D format, gradually emphasizing the concept of a virtual city. Digital twin technology can simulate disaster scenarios, including weather events and traffic accidents, assisting disaster response personnel in rapidly understanding the situation and optimizing the efficiency of disaster response. In recent years, with the advancement of aerial photography, simulation technology, and computing resources, The National Science and Technology Center for Disaster Reduction has leveraged advanced technology to create a mountainous flood inundation model system. This system enhances disaster warning and impact analysis, providing a comprehensive view of vulnerable settlements. It utilizes dynamic models and virtual-real integration, presenting alert information and disaster impacts through visual elements, contributing to informed decision-making in disaster situations.

By applying multiple disaster data on CIoT, including disaster warning and notification, rainfall, earthquake, regional drainage data, etc., collected from various public sectors, alongside with the on-site environment monitoring data, the data is verified and utilized by ThinkTron to develop the comprehensive All-Hazard Emergency Data Platform for the emergency response centers of some municipal fire departments in Taiwan. This not just enables the digital transformation but also boosts the digital governance. In addition, this GIS+IoT+AI integrated application is extended to smart industrial park management, helping corporate clients on achieving ESG goals accordingly by sustainable operation.

Huijia Health's nFOPT® non-invasive optical fiber physiological monitoring technology and new generative AI smart care system provide 24-hour safety and health management solutions for all ages from infants to the elderly. nFOPT® technology utilizes the total reflection principle of optical fiber data transmission, has no electromagnetic wave interference, and has high sensitivity and high precision physiological sensing capabilities. Combined with the generative AI system, it can actively and intelligently monitor various physiological indicators, including respiration, heart rate, pulse, sleep status, cough frequency, blood pressure, etc., and can be applied to smart cushions (such as clothing, pillows, mattresses, cushions), Smart assistive devices, smart care systems, smart driving and other scenarios.

Nearly one-third of the population in Yunlin County are first-tier industrial workers, mainly agricultural planting and fishery breeding. Through the inventory of various key program modules of scientific and technological agriculture and through service and product design, the six-tier digital system has been completed. It has been effectively improving the first-tier Industrial productivity and filling the gap in production instability, and receiving a solution for the lack of labor and the approval of the National Development Council Plan. This will also make Yunlin a place where cases of digital transformation and creation blooming. This service is introduced into multiple towns and villages in Yunlin County and 350 jobs have been created and about 320 million production value have been increased.The project won the 2022 “Smart City Innovation Application Awards".

1.Integrate smart water meters, wireless communication interfaces, and online management system to supply a comprehensive solution. 2.Suitable for management of water supply in cities and water consumption in areas like schools, and shopping malls, etc. 3.Real-time monitoring: Integrating GIS information, the system can help users to seize instant water data. 4.Data Analysis: Integrating comparison of water consumption in multiple durations and water balance application to improve leakage and decrease Non Revenue Water(NRW). 5.Abnormal Alarm: With configurable setting of upper and lower limits for water consumption, the system will send a warning message to users when the amount exceeds the acceptable range. 6.Individual Billing: For shopping malls and dorm rooms, the solution can assist managers to independently calculate consumption amount for each vender and household, making billing fair and reasonable.

AI air-conditioning energy-saving technology controls existing systems to achieve an energy-saving rate of 10%-30%. It can be applied to energy-saving solutions for air-conditioning systems, heat pump hot water systems, and information room systems. This service has been used in Taipower Building, Taipei Post Office, and the two national agencies, and has achieved 25%-60% air conditioning energy saving rate. This service has the characteristics of "smart", "low cost" and "immediate effectiveness". It does not rely on the energy-saving strategy of "hardware replacement “, but focuses on "software implement" to achieve "rapid deployment" and "short payback period". ”, “effective energy saving”.

Key Features & Highlights Intelligent Monitoring: Advanced sensors and AI record real-time exercise data, providing actionable insights for precision and safety. Data-Driven Training: Generates personalized plans and dynamically adjusts based on performance. Medical-Grade Reporting: Offers reports with exercise scores, stability evaluations, and improvement recommendations. Smart IoT Connectivity: Enables remote monitoring and data synchronization for smart healthcare solutions. Patented Technologies Eccentric Training Technology (Patent No: I840182): Reduces strain while improving muscle strength, ideal for rehabilitation and sarcopenia users. Maximum Strength Curve Measurement (Patent No: I838256): Dynamically adjusts resistance, enhancing safety and training efficiency. AI-Driven Training Plans: Creates tailored plans in seconds, ensuring personalized and effective workouts. Applications Medical Centers: Assists physicians in improving patient rehabilitation outcomes. Smart Gyms: Provides data-driven, personalized training experiences. Urban Health Systems: Supports public health initiatives through integrated smart solutions.

This project establishes a 5G private network in rural Tainan schools, introducing AR/VR gamified English teaching. Students engage in scenario-based games, simulating English conversations in virtual reality, fostering entertaining and interactive learning. The curriculum incorporates famous global landmarks and utilizes AR technology for checkpoint missions, enhancing student interest. Beyond English education, the initiative collaborates with the National Palace Museum, integrating AR/VR historical artifacts. Using 5G streaming, historical content is seamlessly integrated into campus teaching. The project not only enhances learning outcomes in rural junior high schools, reducing the urban-rural digital gap, but also has the potential for nationwide expansion. Through cross-disciplinary collaboration, it drives the development of both horizontal and vertical industry chains.

NCREE has developed a Hybrid earthquake early warning system (EEWS) by integrating on-site EEWS from NCREE and regional EEWS from Central Weather Administration (CWA). Within a 10 to 100-kilometer radius from the earthquake epicenter in the local region, this system can provide 3 to 15 seconds of warning time. To achieve effective alerts with the available warning time, the utilization of a Hybrid EEWS cloud platform is crucial. This platform facilitates the transmission of alerts and the affected administrative regions to various industries. Industries, in turn, leverage these alerts to develop warning systems and automated control devices tailored to meet the specific requirements of different environments. This approach aims to minimize secondary damages resulting from earthquakes, transforming EEWS beyond being notifications received Presidential Alert on mobile phones. Instead, it offers a multi-faceted alerting and disaster reduction application system tailored to different environmental settings.

Leveraging on-site equipment, process steps, control settings, and product status, we enable abnormality detection, scheduling simulations, root cause analysis, troubleshooting, and actionable scheduling suggestions. Virtual measurement enhances MES data quality, boosting SPC alarm accuracy to 95%. By integrating MLOps and AutoML, we connect factory MES, SPC, WAT, and scheduling data to deliver precise abnormality predictions up to 8 hours in advance.

The innovative parking operations solution integrates AI-based Automatic Number Plate Recognition (ANPR), sensing devices, IoT infrastructure, and a cloud management platform. By streamlining parking management, reducing manual intervention, and providing actionable insights through real-time data, this solution helps parking operators maximize space utilization and enhance customer satisfaction with a transparent, data-driven, brilliant parking service. The system provides real-time visibility into vehicle entry and exit, space occupancy, and on-site traffic flow. It supports ticketless access and license plate–based payment. It also offers real-time parking guidance and multiple payment options. These features reduce labour costs and enhance the user parking experience. A centralized management platform and operational data analytics give operators insights into traffic patterns, space turnover, and revenue performance. This enables informed decisions on pricing strategies and space allocation. As a result, operators can achieve efficient, sustainable smart parking operations.

By leveraging AI digital twin models, we predict KPI performance to support decision-making for backup machine selection, enabling energy savings and operational efficiency. Explainable AI is used to analyze the parameters influencing KPI, revealing that air compressor efficiency is strongly correlated with its shaft bearings, highlighting the importance of predictive maintenance for these components. Additionally, an intuitive dashboard visualizes the relationship between demand and supply data, facilitating real-time decision-making and responsiveness. With the integration of LLM Agents, users can communicate seamlessly with digital twins through natural language, enhancing usability and interaction efficiency.