AI Smart Office Meeting Recording Assistant: Use the most advanced AI meeting recording technology to create automated meeting records. The AI ​​meeting recording assistant can automatically record meeting content, organize information, translate and output meeting content, and generate summaries for all participants in the meeting.

This exhibition is an atmospheric physical-chemical grid model for prediction of changes in air quality, utilizing data from the U.S. NCEP global weather forecast and regional air pollutant emissions. Local scientific investigation data has been used to adjust and calibrate the model and thereby largely improve the accuracy of the air quality forecast over Taiwan. The system is capable of simulating the changes in air quality over the next three days (72 hours) in Taiwan, with a temporal resolution of 1 hour and a spatial resolution of 3 km. The simulated data can be integrated with air quality data from the Civil IoT Taiwan, informing regulatory authorities the changes in air quality for the near future, and key information for formulation of control strategies

With 1.4 GW of solar power resources, it provides a convenient platform for businesses and individuals to purchase renewable energy. By integrating AI technology and an optimized supply-demand matching mechanism, InteGreen helps users quickly find the best purchase plan. Its user-friendly interface allows users to easily follow renewable energy’s unstable dynamics.

The Address GeoCoding Module (geoCoder) provided by RiChi Technology is designed to solve the address formalization and positioning. No matter how complex the address is, it can easily solve it with one click and comply with the nationally defined address format! geoCoder provides various data cleaning functions, including: house number normalization, comprehensive format standardization of input addresses, road settlement conversion, abbreviation processing, address missing and removal of redundant information and other services; the positioning function performs coordinate query for the input address, providing longitude and latitude or TWD97 two-dimensional zone coordinates; multiple numbers or floor address strings are split, and the module can systematically and effectively split and process them into standardized writing to ensure the accuracy and completeness of address data.

Through Sensor Node, including water level sensor, rain gauge, data recorder and LPWAN transmission module, the system provides the information factors including water level , rainfall, inundation height inside and outside the water gate. Then transmit data to the back end system. The members in emergency center could do the best practices based on these crucial information

The Irrigation Agency has designated the Zhudong Irrigation Area in Hsinchu as a demonstration site for the construction of a smart irrigation system. This system integrates hydrological sensing components, IoT transmission, and remote gate control technology. Key control points along the irrigation channels have been equipped with water level sensors, remote gate control systems, and surveillance cameras, incorporating cost-effective, low-power, and highly weather-resistant sensing technologies. Irrigation managers can utilize water level sensors to accurately monitor changes in water levels along the irrigation channels. Coupled with real-time imaging, they can remotely control the opening and closing of water gates, optimizing water distribution management and reducing water loss during transportation. This approach not only enhances irrigation efficiency but also minimizes the time and labor costs associated with on-site operations, increasing flexibility in personnel allocation. In response to the growing frequency of extreme weather events due to climate change, the Irrigation Agency is employing smart irrigation systems to enhance the overall allocation of agricultural water resources, strengthen disaster response capabilities, and provide critical data for informed decision-making.

The Central Weather Administration (CWA) is the government agency responsible for earthquake monitoring and reporting in Taiwan. In order to reduce fatalities and property losses caused by earthquakes, a high-density real-time seismic network and the advanced earthquake early warning (EEW) system have been implemented and in operation. Currently, the CWA EEW system can issue the warning message in about 10 seconds after a strong earthquake occurring in or very near Taiwan. Starting from 2021, in order to further enhance the benefit of EEW to the practical earthquake hazard mitigation, the CWA has begun to develop the customized urban EEW system. By means of introducing the on-site earthquake early warning methods, and developing the artificial intelligence models. The systems, particularly for the big urban shallow earthquake, aim to further shorten the time of EEW to 7 seconds. That means it can give warning to the areas about 25 km away from the epicenter, and more people could be alerted before the destructive shaking.

Advanced machine learning algorithms process massive amounts of data collected from a building's HVAC system in real time. This technology enables a comprehensive analysis of various factors, including energy usage patterns, occupancy rates, outdoor climate conditions, and more, resulting in highly accurate HVAC system operational optimization. Our technology offers greater energy savings than traditional BMS solutions and is able to save energy while maintaining indoor comfort, allowing for quick and seamless integration into existing HVAC systems without the need for costly and time-consuming hardware upgrades.

The BSMX series of early warning modules for lithium battery thermal runaway, developed by Taiwan Intelligent Pollutant Sensing Co., Ltd., is a next-generation BMS upgrade solution that requires only simple installation to integrate with existing systems. The module is equipped with high-sensitivity sensors developed specifically for energy storage safety applications, with a rapid response time of as fast as three seconds. The module offers multiple signal output interfaces to choose from and features a proprietary smart algorithm that eliminates the need for calibration after installation. It is particularly suitable for energy storage systems that operate continuously for long periods and are difficult to maintain. A design-in service can provide ESS suppliers with the most suitable function integration without any interrupt.

AI on-site Earthquake Early Warning System A highly optimized system setting and design to sense earthquake P-Wave within 3 sec and through AI model to predict PGA and PGV immediately and send information to customer for further application Product Advantage -Customization by customer demand -Professional team to optimize system set up to avoid environmental noise and interference -Multiple system design to enhance system stability and efficiency -Close loop design for information security -AI model with best system set up for best performance in speed and accuracy -Evolving AI model with more data collection

In order to achieve the goal of intelligent transportation in Hualien and alleviate the crowds and traffic problems brought about by the opening of the entire Suhuakai line and the traffic problems in the city center, the Hualien County Government has developed a design that conforms to the local characteristics and constructs intersection numbers through the "Development and Construction Design of Intelligent Transportation System". Using smart technology to make traffic policies more accurate. Entrusted "Chunghwa Telecom Co., Ltd." to stage software and hardware in the "2018 Hualien Intelligent Traffic Integration Management System Construction Plan in Response to Su Hua Changing Vehicles", "2019 Hualien County Smart Traffic Management System Expansion Plan", The "109-Year Hualien County Smart Parking and Guidance System Construction Plan", "110-Year Hualien County Smart Road Network Management Integration and Traffic Corridor Improvement Plan" and other projects have been completed successively. There are five functions for overall optimization and refinement: "Cloud Smart Traffic Control", "Restructuring Time Signs", "Traffic Big Data Value-Added Application", "Signal History", and "Smart Parking"