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Method for collecting and utilising crowd sourced city light-energy monitoring Disclosure Number: IPCOM000199840D
Publication Date: 2010-Sep-17
Document File: 1 page(s) / 31K

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Monitoring of energy usage can provide accurate information about our consumption. This information can be used to help make changes to our current consumption in an attempt to reduce it. However, it can be difficult to relate our personal energy consumption to the overall energy consumption and so the incentives to keeping track of our usage dissapates over time. This publication discusses a technique for tracking energy usage of a city, that while not being entirely accurate, could provide the needed incentive to continue making small changes to reducing the energy usage of a city as well as providing the ability for cities to compete with each other to reduce their overall energy consumption.

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Method for collecting and utilising crowd sourced city light-energy monitoring

Calculating the energy usage of a big city can already be done at the source by monitoring the amount of electricity a city is consuming at any moment. However, it is a rather impersonal value and it is difficult to visualise how a single person could influence the figure.

    This invention proposes using frequently updated and crowd-sourced geo-located photos of a city at night to establish the luminosity. This value can be used to build a heat map for the city and an average luminosity per square meter can be established. This allows cities to be ranked and competition between cities and even office blocks to be established.

    The idea is to allow people to see how much energy is being wasted through simply leaving lights and computer monitors on. They can then make an instant difference simply by turning off the lights before they leave the office.

    Crowd-sourced photos are taken by the city's inhabitants. The information regarding the location and direction of a photograph can be established from photo meta-data if available, or by the user entering the details manually.

    Once a photo has been entered into the system, the photo would be made available for other users to find. The photo will be scanned for an average photo luminosity and potentially other information, such as number of distinct light sources, could be established. This will then be compared to some preset values to grade t...