A New Approach to the Implementation of Multivariable Information Transfer Models of Smart Sensors for Ubiquitous Power Energy Internet of Things

As an important cornerstone of the construction of the energy Internet, the ubiquitous power Internet of Things is of great significance for improving the overall efficiency and social efficiency of the power grid, and promoting the development of emerging services that meet the needs of users. The thesis first elaborates the basic concepts and characteristics of the ubiquitous power Internet of Things, and analyzes its system architecture in detail; secondly, discusses the key technologies of the ubiquitous power Internet of Things from three aspects: smart chips, 5G and LPWA, and Internet of Things platform; Third, in order to overcome the influence of the interference of the sensor's mutual sensing area of the Internet of Things on the transmission success rate, it is necessary to design the interference avoidance algorithm of the sensor's mutual sensing area, and propose an Internet of Things based on adaptive link equalization configuration and inter-code interference suppression The algorithm for avoiding interference between sensors in the mutual sensing area. The simulation results show that using this method for sensor interference avoidance, the output error rate is lower, the purity of sensor sensing area information is higher, and the anti-interference is better.