Smart Sensors Enable Smart Air Conditioning Control
نویسندگان
چکیده
In this study, mobile phones, wearable devices, temperature and human motion detectors are integrated as smart sensors for enabling smart air conditioning control. Smart sensors obtain feedback, especially occupants' information, from mobile phones and wearable devices placed on human body. The information can be used to adjust air conditioners in advance according to humans' intentions, in so-called intention causing control. Experimental results show that the indoor temperature can be controlled accurately with errors of less than ±0.1 °C. Rapid cool down can be achieved within 2 min to the optimized indoor capacity after occupants enter a room. It's also noted that within two-hour operation the total compressor output of the smart air conditioner is 48.4% less than that of the one using On-Off control. The smart air conditioner with wearable devices could detect the human temperature and activity during sleep to determine the sleeping state and adjusting the sleeping function flexibly. The sleeping function optimized by the smart air conditioner with wearable devices could reduce the energy consumption up to 46.9% and keep the human health. The presented smart air conditioner could provide a comfortable environment and achieve the goals of energy conservation and environmental protection.
منابع مشابه
Enabling Smart Air Conditioning by Sensor Development: A Review
The study investigates the development of sensors, in particular the use of thermo-fluidic sensors and occupancy detectors, to achieve smart operation of air conditioning systems. Smart operation refers to the operation of air conditioners by the reinforcement of interaction to achieve both thermal comfort and energy efficiency. Sensors related to thermal comfort include those of temperature, h...
متن کاملBuilding Environment Analysis based on Temperature and Humidity for Smart Energy Systems
In this paper, we propose a new HVAC (heating, ventilation, and air conditioning) control strategy as part of the smart energy system that can balance occupant comfort against building energy consumption using ubiquitous sensing and machine learning technology. We have developed ZigBee-based wireless sensor nodes and collected realistic temperature and humidity data during one month from a labo...
متن کاملOccupancy Estimation in Smart Buildings Using IOT-Based Techniques
Nowadays, the research and innovation of smart buildings has been gaining increasingly attentions in building construction and management society. Among a variety of emerging technologies, demand driven HVAC (i.e., heating, ventilation and air conditioning) operation is promising to significantly reduce the building operation cost, and ultimately to achieve sustainable smart buildings. The “Int...
متن کاملDesign and Development of a Nearable Wireless System to Control Indoor Air Quality and Indoor Lighting Quality
The article describes the results of the project "open source smart lamp" aimed at designing and developing a smart object able to manage and control the indoor environmental quality (IEQ) of the built environment. A first version of this smart object, built following a do-it-yourself (DIY) approach using a microcontroller, an integrated temperature and relative humidity sensor, and techniques ...
متن کاملDistributed Control of Heating, Ventilation and Air Conditioning Systems in Smart Buildings
In this paper, the problem of distributed control of the heating, ventilation and air conditioning (HVAC) system in an energy-smart building is addressed. Using tools from game theory the interaction among several autonomous HVAC units is studied and simple learning dynamics based on trial-and-error learning are proposed to achieve equilibrium. In particular, it is shown that this algorithm rea...
متن کامل