Design And Research On The Optimization Of The Power Supply System Of The Smart Student Card Equipment

With the development of society and the progress of science and technology,more and more mobile intelligent devices are gradually coming into people's daily life.Because most mobile intelligent devices use built-in batteries to provide electricity,how to ensure the performance of the devices,but also reduce their power consumption,and then improve the duration of the power supply system has become a focus of research.In order to verify the correctness of the experiment,an intelligent student card is designed according to the functional requirements.In the design process,the power consumption characteristics of the smart student card are analyzed in detail.According to the system requirements and the actual experiment,the main power sources of the smart student card are obtained.According to the distribution of the system power consumption,the software and hardware parts of the smart student card are designed to save energy.After the energy-saving design of the system is completed,the optimization mode is designed according to the working characteristics of the carrier and the external factors,so as to reduce the energy consumption of the system again.The main contents are as follows:1.In the traditional mode of work,the whole system has been working in a mode of work,so the effect is not very ideal in processing tasks or overall energy consumption.This paper designs energy-saving from two aspects of hardware and software,and puts forward the idea of priority processing and dynamic power management to reduce system load,reduce task congestion,make the whole system more smoothly,and then reduce energy consumption of power system.2.Working mode is very important for energy saving.In this paper,through the actual wear application scenario customization software scheduling mode,in the design process,using the identity characteristics of the carrier,combined with external factors such as time and environment,to develop three working modes suitable for themselves.According to the switching of three different working modes,the peripheral functional modules can be used alternately to reduce the working time of high-energy-consuming modules,and make the main control chip enter a deeper sleep mode as far as possible in idle time,so as to reduce the energy consumption of power system.3.In order to make the switching of working mode more smoothly and intelligently.This paper adds prediction optimization mode to assist the switching of working mode.Cooperative work mode reduces energy consumption of software power supply system.Compared with the traditional single energy-saving mode,the proposed energy-saving mode is more intelligent.The energy-saving effect of the whole power system is obvious through the co-prediction and optimization mode of hardware and software.