Product Description
1. Strong comprehensiveness
This system integrates the current mainstream technologies and applications of the Internet of Things, including experimental modules such as embedded development, sensor acquisition, wireless communication (such as Wi-Fi, LoRa, NB-IoT), data visualization, edge computing, and cloud platform docking, and comprehensively covers various practical teaching contents of the Internet of Things from the perception layer, network layer to the application layer.
2. Strong adaptability
The system is aimed at multi-level teaching needs such as higher vocational education, undergraduate and graduate students. The course content can be flexibly tailored. It can carry out basic cognitive training, as well as project-based development and application expansion. The modular structure design facilitates functional expansion and experimental reconstruction according to the teaching progress and subject direction.
3. Strong completeness
From sensor acquisition terminals, edge nodes, gateways, servers to supporting software platforms, the system has a full-link closed-loop design and complete supporting facilities. It fully supports typical scenario exercises such as environmental monitoring, smart agriculture, smart home, and industrial monitoring, and realizes the "install-and-use" teaching and training experience.
4. Strong intuitiveness
The system adopts visual wiring and structured module layout, the experimental panel has clear graphical annotations, real-time feedback of data acquisition and communication status, supports simultaneous viewing on PC and mobile terminals, is easy to operate and maintain, and is suitable for students to learn and independently complete project development.
5. Strong scientificity
The system occupies a small space, has standardized wiring, and saves laboratory resources; it is equipped with a variety of low-power, high-performance devices, and the data is stable and reliable; it supports remote control and data acquisition, which is convenient for teachers to assess and students to expand after class. The teaching content is closely related to industry needs and has good teaching practice value.
6. Strong openness
It provides standard interfaces and multiple communication protocol support (such as MQTT, HTTP, Modbus, etc.), is compatible with multiple mainstream development platforms (such as Arduino, STM32, Raspberry Pi, etc.), and can be connected to cloud platforms , which is convenient for open innovation project design and practical training assessment.
7. Strong advancement
The system keeps up with the development trend of "new engineering", integrates cutting-edge technologies such as edge computing, AIoT, and low-power wide-area communications, comprehensively improves students' cognitive level and practical ability of modern Internet of Things systems, and truly realizes a full-link teaching closed loop from technical understanding to scene implementation.
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