'Real-time environmental sensing |
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-for people and building skins' |
Nancy Diniz, Hai Ning Liang, Ka Lok Man |
Hard/Software: Jun Li |
Students: Wu Dong, Han Kunling, |
Zhai Yuan and Zhen Chao |
China |
2012-2014 |
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links: |
WSNL Wireless Sensor Network Lab |
Xi'an Jiaotong-Liverpool University (XJTLU) |
funded by XJTLU |
Research and
Development Fund 2012 |
concept poster >>>> |
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The project has a twofold aim:
(1) create architectural systems of real-time information exchange, environmental sensing and communication, materials that can map, be read and be interpreted by people. The environmental sensing feature, aims to bring awareness to the serious pollution problem affecting us around the world and find ways to ‘read and render’ the air particules [pm 2.5]and the harm that circulates in the environments around us.
(2) to design self-powered reactive systems. The modular systems have real-time computing units for sensing and mapping the environment. They have four variations in size, number and orientation of solar panels and number of led boards. |
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What is different from precedent work [1] [2] is that we want to focus on the immediacy of the air from the scale of people’s bodies to the scale of buildings. The modular system currently under design development (see prototypes) will allow people to read and visualize the air quality in their surroundings. This scalable system will recast people and buildings as renderers of air quality, and represents a radicalized attitude towards the protection of our air. ‘particles matter’ reminds us that we are living in unstable environments and that no architecture, science or invention can protect or replace the air we all breathe. In this project we propose a modular and scalable system with three variations in scale: from a persons scale through a wearable module to an in-between one, through an add-on and detachable system and ending with a building skin facade modular system. |
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The devices make visible the air quality through leds that display color indicating varying levels of pollution— from blue to red.
References:
[1] saavedra, joe, ‘citizen sensor’ diy environmental monitoring sensing pack. <https://thesis.jmsaavedra.com/> accessed 11 june 2013.
[2] wang xiaowei and guler deren ‘float’ project, kites measuring air pollution, community project in beijing. <https://f-l-o-a-t.com/>, accessed 11 jun2013.
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