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The degree of development of today's country is no longer simply judged by the speed of economic growth. Environmental protection issues have begun to attract social attention. To achieve economic growth and coordinated development of environmental protection is the real growth. This paper divides 34 cities in China (excluding Hong Kong, Macao and Taiwan) into eastern, central and western regions, selects economic growth data and environmental protection data for 2017 to analyze the economic development and environmental protection status of different regions, and at the same time Select representative cities in the region, collect relevant development data of the city for nearly 10 years, build a regression model of economic development, and study the relationship between economic development and environmental protection. Finally, relevant development proposals are proposed for different regions.

Distribution network planning has the characteristics of large scale, uncertainty, indefiniteness, multiple factors and wide area of involvement. Currently, relying on the expert experience of planners to carry out the distribution network planning work is far from meeting the needs of modern city distribution network planning requirements. With the development of big data and the increasingly maturity of application in power industry, the professional business management has been improved to varying degrees. In this article, we will study the application of electric power big data in distribution network planning and management, and try to solve the existing deficiencies in distribution network planning and management by introducing the idea and technology of big data, in the meantime, enhance the distribution network planning and management with achievement of scientific, feasible and economical distribution network planning.

In order to predict the reliability of low voltage distribution network, an improved algorithm based on the traditional sequential Monte Carlo method is proposed. In this method, the basic data and operation data of low voltage power network are used to calculation parameters of each branch's and equipment's failure rate, outage time and failure effects. By combining sequential Monte Carlo method, the reliability of low voltage distribution network is predicted. This paper also put forward the measures to improve the power supply reliability of low voltage distribution network, including replacing the old line equipment, adding the sectional switch and installing the contact switch. The results show that the method proposed in this paper can be applied to the reliability prediction of low voltage distribution network.

ICT in Education has become a strategic supporting force for the reform and development of national education. In this period, the most important thing to do is to recognize, understand and construct an "ICT-enabled Classroom" which means transforming the traditional classrooms into interactive learning environment. With increasingly more mobile terminals being employed in educational context, teaching has undergone great changes, which makes it as one key issue to construct, develop and apply a new classroom evaluation model so as to foster the ICT in Education in China. The purpose of this design-based study is to develop an initial "TPOCME Deep Classroom" model (TPOCME, Higher-order Thinking, Classroom Participation, Openness of Educational System, Cooperative Learning, Meaningful Learning, Effectiveness of Technology Use), to evaluate a classroom in ICT-enriched environment through four-round iterative processes. It can be used to evaluate the effectiveness of technology integration in classroom teaching and help educators to have a profound and comprehensive understanding of the integration of ICT in education in mobile Internet era.