Ocean coastal temperature front based on sensor network and research on the new teaching mode in colleges and universities

摘要

Based on the research of wireless sensor network, this paper studies the gear routing protocol from two aspects of network coding and data fusion technology. A DNC-GEAR routing protocol based on gear algorithm and an improved GEAR data fusion algorithm are proposed. By introducing sensor network coding and data fusion technology, the improved GEAR routing protocol reduces the number of packets sent through the network, propagation delay, and information redundancy. Then, in this paper, we will analyze the spatial distribution of temperature and salinity during the whole observation period based on the cross-sectional survey data along the coast in summer. The temperature front is extracted and combined with the data of sea temperature and wind field to analyze the different water layers and cross sections of the temperature front along the coast of the ocean and to study its distribution, mixing process, and parameterization. When the seawater temperature front is bent or deformed by wind or interaction with environmental factors, its velocity and shear force increase, the convergence and divergence process become stronger, and it mixes with the sub-mesoscale process. These processes can improve the material and energy exchange on the front surface. Now, the new teaching mode plays an important role in education. The new teaching mode of the Internet has become an indispensable tool for teachers in the process of education. However, although the Internet teaching mode provides convenient and favorable classroom teaching conditions for teachers, it also brings some negative effects. In this paper, through the research of the sensor network, it is applied to the research of the coastal temperature front and the new teaching mode in colleges and universities, so as to promote the development of the future temperature front and teaching mode.