The system can be connected to IoT devices in series, and the devices can be operated and monitored remotely. The corresponding data of the devices is available on the website to meet the living needs of tenants and landlords.

The Supplier and Investment Management Module is an extension of Carbon Star, allowing enterprises to manage not only their own carbon emissions but also conduct inventory and management of carbon emissions from suppliers or investment companies. The module features complete functionalities for carbon emission data inventory, registration, and management. Additionally, it offers comprehensive education and training services for enterprises regarding suppliers and investment companies. This enables enterprises to view and integrate supply chain data within the platform, and allocate and calculate data according to relevant criteria. The Supplier and Investment Extension Module includes the following functionalities: 1. Supplier greenhouse gas inventory 2. Supplier education, training, and guidance 3. Integration and management of carbon data within the supply chain

1. Integrating data of water quality and water consumption, the online system will automatically conduct continuous data monitoring, and can be applied for both clean water and sewage water measurement. 2. Real-time monitoring: Seize real-time water information to maintain the stability of water quality and instantly react when abnormal condition is detected, dramatically increasing management efficiency. 3. Smart Dosing Scenario: Integrating automatic dosing equipments with upper and lower alarm settings to ensure dynamic stability of water quality and decrease labor cost. 4. Data Analysis: Apply schedule planning to build up the trend of historical changes and to develop the situation management model. 5. Compliance with the regulations: Complete the full-time management mode, in compliance with the regulations of the competent authority and environmental protection standards. 6. The water quality sensor (specific model) is automatically cleaned without additional consumables and can be cleaned frequently.

Our energy management system can generate energy management data chart, display real-time 3D status display. Usage fields includes "Air conditioning system", "lighting control system", "charging pile management system", "energy storage management system", "power management system". It reduces the customer's risk of integrating different system interfaces and improve overall energy use Efficiency, the system regularly sends "Energy Verification Report", "System Efficiency Report", "Maintenance Notice" and other information to comply with the information required by the Energy Management Act, ISO14064-1, ISO50001, ISO14067 and other standards, reduce labor costs and consolidate data time, and can interface with traditional SCADA system information to upload to the cloud, solving the problem that traditional systems cannot be remotely monitored, allowing customers to get twice the result with half the effort on the path of ESG, energy conservation and carbon reduction.

The Smart Dust Sensor technology is an innovative solution for integrating IoT networks into air quality monitoring. Developed collaboratively by the National Science and The National Science and Technology Council (NSTC), in collaboration with Taiwan Instrument Research Institute (TIRI) and Taiwan Semiconductor Research Institute (TSRI) of NARLabs, and leading academic teams in Taiwan, this technology has successfully miniaturized gas sensors while achieving low power consumption and high sensitivity. Its core features include exceptional sensitivity and stability, enabling real-time monitoring of multiple gases. Moreover, the fully domestically developed technology reduces dependence on imports and offers cost-effective sensor modules, driving the widespread adoption of air quality monitoring devices. The Smart Dust Sensor has undergone extensive field testing and third-party certifications across various applications. These include environmental monitoring stations (e.g., Taichung Dali Station), public recreational areas (e.g., odor monitoring in public restrooms), and industrial settings (e.g., semiconductor facilities and wastewater treatment plants). With its proven accuracy, reliability, and traceable data, the technology plays a key role in advancing air quality monitoring solutions, facilitating the development of smart cities, and contributing to improved environmental management.

Centrally manage all signing tasks online, allowing you to keep track of the contract signing process at any time. The JGB system supports mobile phones and computers, so you can sign contracts anytime and anywhere, eliminating the need for paper signings and making work time allocation more efficient. In compliance with Taiwan's "Electronic Signature Law", contract signing will strictly ensure the legal validity and security of electronic signatures.

DeltaGrid® low-carbon emission energy solution focuses on the four major perspectives of energy creation, energy storage, energy control, and energy saving. It integrates solar energy, energy storage, EV chargers, energy management, as well as energy saving software and hardware products to provide a practical transformation solution that helps strengthen grid resilience, optimize energy dispatching, enhance renewable energy utilization, and achieve cost and energy saving, carbon emission reduction, and net zero sustainability goals. The solution is for four major areas, including power plants, industrial and commercial factories, electric vehicle charging stations, and community residences, so that renewable energy can be stably connected to the grid, stabilize the electricity consumption of industrial and commercial factories, and improve the operating efficiency of charging stations.

Remote expert video collaboration solution uses AR smart glasses to transmit onsite situation to the remote technical experts with high-definition real-time video, and guide the on-site engineer to troubleshoot and repair the fault from the first-person view perspective and free their hands. This is not only improves maintenance efficiency, but also ensures safety. It also achieve the sharing and inheritance of expert resources and high cost of traveling on site. When encountering difficult situations, multiple technical experts can also be invited for consultation. Experts can provide real-time multi-party HD video guidance with the on-site engineer, whether on PC or smartphone, to jointly solve technical issues and reduce downtime losses.

Provide EOC at all levels to disaster management, notification and response, task dispatch, evacuation and shelter, resource scheduling, search and rescue, analysis Statistics, etc. after a disaster occur. Strengthen the collaborative response and dispatch capabilities of central and local governments in large-scale disasters. Minimize the damages caused by disasters. Disaster prevention and relief data are presented in visual charts, showing the latest disaster situation in the disaster area, and can include a variety of warning messages, disaster information, monitoring information, disaster response information and other graphics layers. The graphical interface decision-making dashboard can display important commands Decision-making auxiliary information is provided to commanders at all levels for reference, and then they can issue disaster relief response instructions according to different situations, strengthen the effective use and management of resources, and increase disaster relief energy.

ARBOR’s smart medical wristband efficiently improves body temperature monitoring to tolerance within ± 0.1°C. With MediaTek’s IoT platform integrated, the wristband provides health condition information to be uploaded to synchronized with smartphones and the regional epidemic prevention system in real time so that patients’ vital signs can be monitored instantly and precisely. Collect the data on disease carriers and its environment, it can analyze patients’ medical and health information, and send the information to the patients and medical professionals. The public can also then receive the warning for diseases or epidemics.

The device incorporates cutting-edge Edge control technology and is compatible with various sensors. • Independent Operation The device can operate independently even when powered off or disconnected from the network, ensuring continuous operation and functionality. • Remote Firmware Update and Configuration It allows for remote updating of firmware and configuration settings over the network, enabling easy maintenance and optimization of the device. • Data Storage and Transmission The device is equipped with capabilities for storing and transmitting data, facilitating the collection and transfer of information as needed. • LED Indicators The device is equipped with LED indicators for power and communication status, providing visual feedback on its operational status. 1.Model No: AIOT-C01 Fog Detection Controller Application Scope: Mountain Roads, Railways, Highway, Airport, etc 2.Model No: AIOT-C02 Rainfall Detection Controller Application Scope: Mountainous Area Water Level and Rainfall.

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.