Intelligent domestic electricity management system based on analog-distributed hierarchy

Electricity management system has been extensively investigated for efficiently monitoring and controlling domestic power. Nevertheless, the existing designs are generally rough, inflexible and complex, which leads to poor convenience in practice use and performance evaluation. In this paper, a systematic structure of intelligent electricity management system is firstly constructed and then corresponding multi-task scheduling algorithm based on embedded system is proposed for facilitating domestic power management. The proposed architecture accomplishes the system functions on two interactive modules. And this architecture is very beneficial to effective operation and intelligent management. Furthermore, real-time performance of the presented scheduling scheme is researched by a constraints model and the corresponding simulation result shows a good performance, where the overtime ratio is 10.3% under an extremely bad condition. Besides, the relationship between overtime ratio and sporadic tasks is derived in a general way and also verified by simulation.

► An analog-distributed smart domestic electricity management system is given.
► The multi-task scheduling algorithm of the system is established.
► Real-time performance of the scheduling is evaluated by a constraints model.
► An experiment shows how the real-time performance is related to the task time.