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The smart agriculture sandbox demonstration system integrates cutting-edge wireless sensor network technology, embedded systems, image transmission, and sensor technologies. It enables real-time remote monitoring of indoor air temperature and humidity, soil moisture and temperature, carbon dioxide concentration, pH levels, light intensity, as well as video imagery. Based on model-based analysis, the system can automatically control greenhouse equipment such as shading curtains, ventilation fans, sprinkler and drip irrigation systems, external shading devices, and supplemental lighting.
The smart home sandbox is an integrated, real‑world teaching sandbox designed to showcase and help learners understand IoT technologies. It features functions such as app‑based smart home control, touchscreen panel operation, voice control, home monitoring, security systems, audio‑video entertainment, access control and surveillance, and alarm integration. The system supports customizable scene modes and zone‑based control, enabling both standalone operation and coordinated, interconnected control.
Smart Logistics and Warehouse Exhibition and Education System
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Against the backdrop of the booming modern logistics industry, smart logistics—key to the sector’s transformation and upgrading—is increasingly becoming a core source of competitive advantage. With the deep integration of cutting-edge technologies such as the Internet of Things, automation, and big data, traditional logistics and warehousing models are rapidly evolving toward智能化. From the widespread adoption of automated high‑bay warehouses to the efficient operation of intelligent sorting systems, smart logistics technologies are reshaping the entire industry landscape.
Remote Driving Exhibition and Education Platform
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The Remote Driving Exhibition and Education Platform is a three-dimensional teaching system specifically designed for vocational‑education programs in fields such as “Intelligent Connected Vehicles,” “New Energy Vehicles,” “Internet of Things,” and “Mechatronics.” Centered around the real‑world industrial scenario of “remote driving,” it adopts a design philosophy of “low cost, modularity, and scalability” to integrate multidisciplinary knowledge—including communications, control systems, sensors, IoT, voice AI, and human–machine interfaces—into a remotely controllable miniature vehicle and a simulated driving workstation. Without requiring a deep background in advanced autonomous‑driving algorithms, students can start from scratch and complete a full project cycle—“connectivity → control → optimization → diagnostics → demonstration”—making it ideal for both classroom instruction and hands‑on practice in courses such as “New Energy Vehicle Technology,” “Fundamentals of Intelligent Connected Vehicles,” “Fundamentals of IoT Communications,” and “Embedded System Development.”
IoT Basic Comprehensive Teaching and Training Platform
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The experimental platform comprises an intelligent gateway, smart nodes, sensing and control devices, identification equipment, and course‑related resources, serving as a comprehensive development environment for teaching, competitions, hands‑on experiments, and research projects. It offers an IoT cloud service system tailored to the accompanying experimental kits, supporting curriculum design, capstone projects, and “Internet Plus”–related innovation contests. Powered by a robust embedded Cortex‑A9/A53/A72 processor—available as an option—the IoT gateway integrates a multi‑protocol heterogeneous wireless sensor network module equipped with numerous sensor types, along with low‑frequency, high‑frequency, and ultra‑high‑frequency RFID technologies. This enables a seamless fusion of advanced embedded‑system education with IoT, wireless sensor networks, and RFID instruction, providing an in‑depth exploration of core IoT principles and technologies, while also presenting multiple application examples that illustrate typical IoT use cases and implementation approaches.
Physics Network Virtual Simulation Training System
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The IoT Virtual Simulation Training System is a simulation platform designed for teaching and practical applications in sensor networks, as well as for IoT and AIoT use cases. This system supports a wide range of instructional courses, including sensor theory, hardware interfacing, perception-layer programming, simulated deployment of case‑study projects, application development, and innovative experiments, covering topics such as sensor networks and intelligent control.
IoT Virtual Simulation Licensing and Web Management Platform
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A on-premises deployment solution is adopted, with additional servers deployed locally to support simultaneous client access from no fewer than 100 locations. Server configurations and other specifications meet the requirements of the virtual simulation platform, ensuring long-term usability after deployment without reliance on the internet. The system also includes a free cloud‑based management component; the client software allows users to choose between local and cloud‑based access, enabling use of the software platform via cloud services.
Smart Agriculture Technology Application Platform
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The Smart Agriculture Training Platform is a comprehensive educational and hands-on system designed for IoT‑based smart agriculture. Built upon hardware components such as sensors and actuators, wireless industrial nodes, heterogeneous gateways, routers, and embedded central control gateways, the platform guides users through a series of steps—including hardware assembly, wiring, protocol design, firmware development, configuration flashing, and application programming—enabling real-time acquisition of agricultural sensor data on PC or Android devices, remote control capabilities, and intelligent interconnected operations, thereby forming a complete smart agriculture application ecosystem.
Industrial Digital Intelligence Business Unit (Teacher Guo)：18666013984
Industry–Education Integration (Teacher Zeng)：18588894612
AIoT Business Unit (Teacher Liu)：13660039204
Low-Altitude Economy Division (Teacher Yang)：18620640166
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