Impact of Labor Mobility and College Volunteers' Fixed-position Teaching Experience on Rural Households——Based on Survey Data about Teaching Sites and Volunteer Teachers

With the continuous deepening of reform and opening up,the gap between urban and rural areas continues to widen,and many farmers in rural areas have chosen to work in cities in order to get out of poverty. At the same time,in the context of the policy of precise poverty alleviation and rural rejuvenation,various helping and supporting measures for rural areas have also emerged. Supporting education in universities is one of the most important ones. With the Graduate Teaching Fellowship of Huazhong Agricultural University and the students and parents in the teaching sites as research objects,the impact of labor mobility and fixed-position supporting education in rural areas on rural families was explored in this paper using economics,sociology and other relevant theories and analytical methods. The results showed that labor mobility can promote the increase of rural household economic income. Outbound industries and regions have a major impact on the entire family development. However,the outflow of labor can also lead to various problems such as staying behind. The fixed-position supporting education in colleges and universities can,on the one hand,promote the improvement of the academic performance of the students in the teaching areas. On the other hand,it can help students develop good habits. Fixed-position supporting education of colleges and universities can be seen as a way to make up for the outflow of labor in rural areas. Combining the flow of labor force with the teaching support of colleges and universities can better promote the development of the entire family of farmers in rural areas.

Optimization of Wind Turbine Hub Assembly Sequence Based on Intelligent Algorithm

A method for hub assembly sequence planning oriented to the fixed position layout is proposed.An assembly relationship model was constructed to describe the relationship between hub assembly components and workstations,considering the layout of the hub assembly line and process constraints,including the assembly precedence matrix,workstation assembly capability table and criticality table of components.The evaluation mechanism for the assembly sequence was established.Values from the evaluation functions with engineering significance were used to select the optimal assembly sequence from the perspective of assembly time,assembly index and assembly path distance.In function,the criticality of components was introduced into the traditional assemblability index,comparing the multi-objective dragonfly algorithm(MODA)with non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ)to complete the assembly sequence planning and assignment for workstations.The optimized results show that the presented method is feasible and efficient for solving the hub assembly sequence planning problem.