Abstract
Using wireless sensor networks to collect indoor temperature and humidity data, a monitoring system is built.According to the data of the central processing unit, the state of the current room is analyzed, and the cooling capacity (heat) and air volume of the central air conditioner are calculated. Meanwhile, this system calculates the relevant fees based on the amount of cold (heat) consumed by each user, and provides a more accurate data base for the central air conditioning system for energy efficiency optimization. Theresults show that this system can accurately reflect the environmental status of the target room.Therefore, it is concluded that the indoor environment monitoring system based on wireless sensor network and embedded technology proposed in this paper is effective and feasible.
Highlights
The requirement of modern building for air conditioning control system has changed from centralized control to independent and individual control for rooms
Variable Air Volume (VAV) air conditioning control system can independently control the temperature according to the temperature requirements of each room [9]
Some material demonstrated that the VAV air conditioning control system can save 30% of the energy, and it can improve the comfort degree of the environment
Summary
The requirement of modern building for air conditioning control system has changed from centralized control to independent and individual control for rooms. Variable Air Volume (VAV) air conditioning control system can independently control the temperature according to the temperature requirements of each room [9]. The distribution of central air conditioning air ducts or hot and cold water pipes in the building is based on the floor. Based on the tree network topology [7], this paper designs a three-tiered central air conditioning indoor environment monitoring system, which includes data acquisition layer, data communication layer and data processing layer. The data collection layer is composed of wireless sensor nodes arranged in each room of the target floor. The task of this system is to digitally storage the environment parameters (temperature, humidity) in the room after the sampling, so as to prepare for the data processing [11]. The data processing layer is composed of an embedded microprocessor and a central processing computer, and its task is to regularly store and analyze the data sent by the processing node
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