KEYWORDS: Design and modelling, Environmental monitoring, Sensors, Agriculture, Data transmission, Intelligence systems, Data processing, Wireless communications, Telecommunications, Internet of things
As a big agricultural country, realizing agricultural modernization is the only way for development in China. In recent years, with the progress of agricultural science and technology and the development of rural economy, new generation technologies such as sensors and Internet of Things have provided a new model for the upgrading and innovation of traditional agriculture and the development of smart agriculture. Combining NB-IoT wireless communication technology and IoT cloud platform, this paper designs a new type of agricultural greenhouse environment monitoring system. This system is mainly composed of sensing module, data processing module, transmission module and application processing platform, the hardware circuit design includes STM32F103C8T6 data processing module, NB-IoT wireless communication module and various sensor interface circuit, and the software design includes acquisition terminal main program design, NB-IoT wireless communication design and sensor program design. It realizes real-time acquisition of air temperature and humidity, soil humidity, light, CO2 concentration, PM2.5, wind speed and raindrop sensors in greenhouse, and establishes communication connection with IoT cloud platform through NB-IoT network.
The development of network technology has brought great convenience to academic education and realized the interaction of learning. Students can find the learning materials they need through the online learning platform, which will lead to online learning behavior. Based on intelligent mining technology and knowledge model intelligent matching algorithm, this paper designs a student demand mining system, and then takes students in an electrical major class as the research object, and uses this system to mine the learning behavior and skill needs of the students in this class during online learning. Among the online learning behaviors generated by electrical majors, browsing behaviors and retrieval behaviors account for a large proportion, and students have a greater demand for the improvement of single-chip programming skills and CAD drawing skills.
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