INTERNET OF THINGS AND MACHINE LEARNING-BASED SMART INDOOR ENERGY CONSERVATION SYSTEM

摘要

An Internet of Things and machine learning-based smart indoor energy conservation system, comprising a control input parameter module, an Internet of Things main control unit, an Internet of Things terminal node set, a terminal device set, a smart energy conservation system module, and a result feedback module. The input parameter module comprises multiple control input parameters, which include but are not limited to: device control events, a human body sensing sensor, an ambient light sensing sensor, region information, a planning schedule, user preferences, scenario information, an environmental sensor, etc. By utilizing the combined use of Internet of Things technology and smart algorithms, the integration of energy conversation, user experience and operating performance may be optimized. Multiple input parameters are integrated, which may allow for more comprehensive and more scientific decision making.