Electrical equipment power consumption estimating system and method based on internet of things

Abstract

The invention discloses a system and method for estimating electricity consumption of electrical equipment based on the Internet of Things, including a cloud platform, at least one smart node with SOE functions, and several smart terminals; the smart terminals at least include smart sockets and smart switches, and the The smart terminal is equipped with corresponding electrical equipment, and controls the opening and closing of the electrical equipment; the smart terminal can receive the control of the smart node through communication with the smart node, and feed back the action results of the electrical equipment to the smart node; The action information fed back by the terminal records the sequence of electrical equipment action events and reports them to the cloud platform. The cloud platform estimates the power consumption of electrical equipment by extracting the sequentially recorded event information and the stored electrical equipment registration information. The present invention can directly use the existing hardware equipment of the electrical Internet of things, and can save the investment of the additional measurement function, so that it is more practical.

Description

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AI Technical Summary

Benefits of technology

This patented technology improves upon current methods by providing an accurate measure of how much electricity was consumed at different locations within one area or country compared to other areas where they were located. It does this through direct use of internet connections between devices instead of adding extra components like meters. Additionally, the system uses software tools from computer science to estimate the amount of electric usage based only on available resources such as battery capacity.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the efficiency of managing energy usage (energy savings). Current methods rely heavily upon measuring individual components' own energy use without clearly identifying how much they consume during peak hours. However, existing surveys may provide insufficient results due to limited participation from consumers who lack knowledge about what constitutes excessive expenditure. Additionally, current estimates require expensive infrastructure that requires frequent maintenance.

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