I am working with Tom Ben-David on creating a network on sensors in a room that will hopefully provide a better reading of the temperature in the room, and provide for a greater analysis of how a room acts. This type of strategy has not been widely implemented as there is not too much data on this subject. However, this has not been that practical of a solution for that long. A research paper by Lin details life in 2002, where one sensor per room was not that common, and they were exploring the use of a temperature sensor in each room as an alternative to one temperature sensor per zone. This is still how most homes operate, but as sensor prices drop, can we can more efficient use out of our HVAC systems. Can we also provide better comfort to ALL of the occupants, not just the occupants who live in the spaces with temperature sensors in them. If by adding more sensors to a room, can we then even adjust an HVAC system to make sure all occupants in one room are happy. Think of the many times you sat right under a vent and were too cold, while your companions were too hot just a couple feet away. With more sensors, hopefully an HVAC system will know how to respond to such an event happening.
Our idea is to create the physical sensors will be Arduino hardware. The Arduino hardware will report a humidity and temperature back to a central database where this information will be able to be complied over a time range. Knowing where these sensors are placed in the room, and what is near each sensor (ie: a window or diffuser that would account for a change in temperature). Hopefully with knowing the location of the 4 sensors, and the different types of data they provide, we will be able to make a general consensus as to wether a multi-temperature-sensor room is a viable option and would provide for a more intelligent building.
I found Jeanine's topic very interesting, and applicable to the same type of model we are looking to design. In her post, she talks about how they are going to be selecting sensors to improve the students comfort in the library. We are also interesting in achieving a similar goal, however not with such a specifica building. I am excited to see how well their findings coincide with the findings in our report about ventilation rates.
Our idea is to create the physical sensors will be Arduino hardware. The Arduino hardware will report a humidity and temperature back to a central database where this information will be able to be complied over a time range. Knowing where these sensors are placed in the room, and what is near each sensor (ie: a window or diffuser that would account for a change in temperature). Hopefully with knowing the location of the 4 sensors, and the different types of data they provide, we will be able to make a general consensus as to wether a multi-temperature-sensor room is a viable option and would provide for a more intelligent building.
I found Jeanine's topic very interesting, and applicable to the same type of model we are looking to design. In her post, she talks about how they are going to be selecting sensors to improve the students comfort in the library. We are also interesting in achieving a similar goal, however not with such a specifica building. I am excited to see how well their findings coincide with the findings in our report about ventilation rates.
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