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Grøn Dyst 2016

103 Data Measurements for Optimal Utilization of Resources and Identification of Environmental Issues T. Brasch1, T. J. Neergaard1, J. Mortensen2, C. A. L. Petersen2 and H. Ehrari3 1DTU Compute, Technical University of Denmark 2DTU Mechanical Engineering, Technical University of Denmark 3DTU Management Engineering, Technical University of Denmark A NEW WAY OF COLLECTING AND USING DATA This project has created a cheap, flexible and robust data measurement method which can be put up and taken down using a minimal amount of resources. Several environmental parameters can be measured simultaneously and transmitted in real-time to a central server, such as noise, gasses (e.g. CO2 and NO2) temperature, humidity and UV radiation. The new aspect of this method is that while many existing solutions offer very precise and singular measurements, no one is offering large scale and continuous measurements. The existing solutions are often sufficient to give the desired answers needed, but seen from an environmental perspective, the large scale measurements is very interesting as well. It can be compared to either having a crystal clear photograph, or a low-pixel video. The video will give another type of information than the photograph, and maybe also function as a way to determine when to take the photograph. Right now the data measurement devices are still at a relatively simple state, but hold a huge potential for further development by implementing additional sensors and new technology. THE TECHNICAL DETAILS The sensor platform is built upon the open-hardware platform LinkIt One with an interface for the Grove sensor system. This allows sensors to be connected using a plug-n-play system where components easily can be replaced if needs arise. This makes the sensor system itself environmentally friendly as single sensors can be replaced when upgrades are needed, instead of replacing the whole sensor system. Furthermore, defective parts can quickly be replaced without special training from the technicians, and at a low cost. APPLICATIONS OF THE SYSTEM The sensor system is fit to be installed within the urban space of a municipality, and thus creating a smart city like infrastructure by mapping the environmental data. This means that the municipality can e.g. locate noise pollution or unwanted gasses. The system is also fit to be used by private companies such as architectural engineers, which can e.g. install the sensors on a soon-to-be construction site and use the data to make models and simulations in the hopes of creating an energy neutral building. THE GREEN WINNINGS The main green benefit of this system is to optimally utilize the resources at hand by analyzing the data given from the sensors, instead of wasting precious time and material by guessing on where to allocate the resources. Furthermore, there is a major potential for identifying so far unknown environmental issues by having continuous data measuring in the urban space, and thus create potential for many more smart solutions derived from this sensor system. COMMUNICATION FREESTYLE CONCEPT MASTER LEVEL COURSE/PROJECT 502


Grøn Dyst 2016
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