Delta’s EV charging solution utilizes the self-developed DeltaGrid® EVM, an electric vehicle charging management system for smart charging, power allocation, and charging equipment management. To avoid exceeding the site’s power limit during simultaneous charging, which could result in fines or power outages, the depot adopted a smart charging management system to effectively address power overuse and charging allocation issues. Under limited power conditions, the system efficiently allocates charging power for the electric buses and provides flexibility for future fleet expansion. To address the challenges of charging commercial fleets, the system has dedicated features that were developed for electric buses and commercial fleet charging needs, including Vehicle Identification, Site Current Limitation, Real-Time Alerts, etc, effectively enhances charging efficiency, optimizes operational benefits for electric fleets, and successfully demonstrates the transformation to the electrification of transportation.

Focusing on developing and enhancing green competitiveness, we aim to provide three key ESG digital transformation solutions for traditional manufacturing industries: a carbon inventory system, machine predictive maintenance, and electrical safety monitoring. By integrating Taiwan's 5G networking industry, IoT-related sectors, and information technology companies, we are collaboratively developing a 5G smart manufacturing AI-enhanced energy efficiency platform. Using real-world case studies, we aim to initiate innovative vertical application model cases for 5G and AIoT industrial safety. With an open and collaborative technology platform, this initiative seeks to establish a representative example of 5G and AIoT industry integration and clustering in Taiwan

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”.

Combining with barometric pressure MEMS (microscale electro-mechanical systems) modules and low power characteristic, the sensor is suitable to monitor and measure water levels of drainage, sewer systems or inundation depths. Having high accuracy, low power consumption and lightweight, the product can be easily installed and maintained. It has the feature and functionality of acquiring real-time data from fields for further analyses, computing and modeling applications.

1) Automatic Notification System 1. Consolidate the IOT info from various sensors, as well as history of user behaviors 2. Big Data Analytics & AI-enabled recommendation engine: Send delivery notice or abnormal alert 3. Push mobile APP message to User and Operator 2) Electronic Ordering System (Customized) 1. Planed delivery schedule service, user confirmed the delivery time, system automatically plans routing and deliveryman 2. Delivery schedule: Push individual mobile APP message to each deliveryman 3) Cylinder Management System (Customized) 1. Cylinder barcode APP scanning, Deliveryman scan the barcode and upload to cloud system 2. Automatic notification mechanism for expired cylinder 3. Data Analytics & Statistical Report 4) Safety Reporting System 1. LPG safety sensors: Including gas detector, Solenoid Valve, pressure switch and UVIR Flame Detector 2. IOT-BOX showoff Solenoid Valve and reporting 3. Push mobile APP message to User and Operator for emergency response 5) Cloud ERP System (Customized) 1. Modular management system: Accounting, Administrative, Financial, Procurement, Human Resource, inventory, Customer Service and sales management 2. Data collection, Analytics & Statistical Report

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

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. E-bike version has a significant improvement in power consumption.

Key Features: 1. First-Line Local Security Protection and Control - Equipped with a trusted edge computing platform, meeting industry needs for an IoT operating environment. 2. Quality of Service (QoS) Maintenance in Emergencies - Ensures system and service operation during unexpected network interruptions. 3. Trusted and Secure OTA Update Mechanism - Guarantees stability of device updates and prevents malicious software attacks on IoT devices. 4. Secure IoT Operating Environment Meeting Industry Needs - Industrial computer-grade hardware and software integrated system, resistant to extreme working environments, stable and reliable, compatible with OCPP 2.0 industry standards.

Our core product, AI-Stack, is a leading AI infrastructure management platform, essential for businesses adopting AI services. It integrates third-generation GPU partitioning, GPU aggregation, multi-node computing, a new user interface, multi-cloud management, open-source deep learning tools, and environment deployment features, helping enterprises tackle the challenges brought by fast-paced AI advancements.

"Data is your superpower" – GoEdge.ai products simplify tedious document handling and process automation, transforming scattered information into AI-accessible knowledge. With the Bilocation Pro system, you can effortlessly build a dedicated corporate knowledge base, integrating internal documents, audit standards, material compliance requirements, and quotation logic. Every piece of data becomes a driving force to boost efficiency and accuracy.

Taiwan's first domestically developed 5G O-RAN system integrates with Oceanic & Meteorological Applications to collect environmental data related to oceans and geology. Through the analysis of this environmental data, the system anticipates the overall conditions of offshore wind power fields, facilitating operations in offshore wind power. This integration aids in minimizing the needs of offshore patrols and contributes to the establishment of data system for Taiwan's marine energy environment, serving as a foundation for sustainable environmental development.

The Civil IoT data service platform collected and stored environmental sensor data in four key areas: earthquake, water resources, air quality, and disaster prevention, and provides real-time data service using the OGC SensorThings API that conforms to the international data modeling standards for value-added services through a unified data modeling framework. In order to solve the problem of insufficient communication in remote areas, Band20 frequency band is utilized to build a backbone network core service for IoT application, which provides remote areas with the use of Band20 frequency band as a network communication method for IoT data transmission, and expands the scope of IoT deployment in remote areas.