In order to solve the problem of high cost and low utilization of solar power generation, the author proposed a solar heat collection photoelectric tracking servo drive system based on cloud computing. By establishing the MATLAB/SIMULINK simulation mathematical model of PID and adaptive fuzzy PID control in the core controller PLC, the authors compare and analyze the response characteristics of the tracking control system under different control strategies under the action of unit step signal and disturbance. The experimental results show that the overshoot of the adaptive fuzzy PID control algorithm is very small, almost zero, the response speed is the fastest, the transition time is the shortest, the system reaches stability at about 0.02 second. In conclusion the tracking control system of solar concentrator under adaptive fuzzy PID control not only has good tracking control accuracy, but also has the advantages of strong anti-interference ability and good stability, which greatly improves the comprehensive performance of the tracking control system of solar concentrator.

Mobile learning is a kind of learning mode by using mobile devices, and it is an indispensable way of learning strategy in colleges and universities. The authors conducted the interviews and questionnaires about the teaching situation, learning strategies, using of network resources, and so on. Next, the authors checked and verified carefully the feedback data from classroom teaching. In the process of investigation, the students were divided into two groups. The authors analyzed the mean and standard deviation of the two groups of data tables. According to the data reliability analysis, exploratory factor analysis, significance analysis, the authors propose the teaching mode of “one heart, two sides and six links(OHTSSL)” based on mobile learning strategy. In order to construct new cognitive content and train students' innovation ability, teacher and students must implement the mobile learning strategy in classroom teaching. Teacher and students execute teaching process of six links based on OHTSSL teaching mode.

In order to meet the communication requirements of photoelectric hybrid network architecture, a research based on cloud computing and big data technology is proposed. The main content of this study is based on the analysis of cloud computing and big data technology, through the study of technical characteristics, using topological optical link with bypass data structure and other methods, and finally through experiments and analysis to build the research means of cloud computing and big data technology. The experimental results show that the weights of optical links are 60, 50 and 20, respectively. When the weights of optical links become smaller, node B reaches the paths of the six destination nodes. More paths can be transmitted through optical links, and the size of the range of nearby links can be controlled, which is feasible for the photoelectric hybrid network structure. Conclusion: The research based on cloud computing and big data technology can meet the needs of photoelectric hybrid network structure in communication.

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