Design and optimization of integrated energy management network system based on internet of things technology

In recent years, China's economy continues to develop at a high speed, but also faces the enormous pressure of energy shortage and environmental deterioration. As an energy-saving discipline, we should actively adopt advanced energy-saving management methods and technologies for energy utilization management. The purpose of this paper is to study an integrated energy pipeline system based on Internet of things technology. In this paper, the actual data of a university is used to establish a prediction model to predict energy consumption, so as to better carry out energy-saving planning. Based on the theoretical basis of Internet of things technology, combined with the current mainstream technology, windows + Apache + MySQL + PHP as the development environment, ThinkPHP framework as the development framework, and a set of integrated energy data query and energy trend analysis management system. The platform integrates system login, energy consumption data query, historical energy consumption and energy consumption trend analysis, Energy saving report, and provide security and scalable features. The system test shows that the performance of the system designed in this paper is stable and can meet the actual needs. In this paper, four groups of different number of users are simulated. The average response time is less than 5S, and the CPU utilization is less than 70 %.