A heating control system based on human movement detection

Abstract

The invention provides a heating control system based on human body movement detection, including a server, a carbon fiber collector, a carbon fiber controller, and a carbon fiber heating device. The server establishes a communication connection with the carbon fiber collector, and the carbon fiber collector is respectively connected to multiple The carbon fiber controller establishes a communication connection, and the carbon fiber controller is connected to the carbon fiber heating device; the carbon fiber controller measures the indoor temperature, human body movement status and moving time in real time; the server sends the carbon fiber collector Data management, analysis and decision-making, identification of vacant rooms and vacancy rules, in order to achieve low-temperature operation control. The beneficial effects of the present invention are: the present invention distinguishes the different vacant periods and vacant states of each house through detection and identification, controls the heating temperature of the room according to the vacancy rules, realizes low-temperature operation during vacant periods, and provides normal heating during non-vacant periods, ensuring comfortable heating Realize economical and energy-saving heating under certain conditions.

Description

technical field [0001] The invention relates to the technical field of heating control, in particular to a heating control system based on human body movement detection. Background technique [0002] The problem of low occupancy is very common in northern cities, especially in small towns with low population densities. As the building scale continues to increase, there are large differences in the occupancy rates of different residential quarters. Coastal cities in some cold regions are mostly vacation tourism cities. In areas where heating pipe networks have been laid, there are many vacationers in summer, and the actual demand for heating in winter is relatively low. According to relevant research and survey statistics, the vacancy rate of existing houses is as high as 20%. The increase in heating energy consumption and heating balance caused by low occupancy rate have a great impact. How to heat the houses with low occupancy rate is a difficult problem. [0003] In the...

AI Technical Summary

Problems solved by technology

Unified heating for such houses will inevitably cause a lot of energy waste, so it is imperative to solve the heating problem of such houses

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