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    Final Post:

    This summer I, along with Zen, created an interactive telemetry map interface for our campus that allows end users to easily monitor energy consumption and atmospheric data through a centralized system.
    The only resources we used were the Mango API, and open source HTML, JavaScript, and CSS for the web interface.
    Our goals were to:
    1. Create an interactive map of our campus
    2. Show generic data when hovering on a building
    3. Create a generic graphing utility
    4. Integrate our web interface into the Mango server
    5. Integrate Mango data into our web interface
    6. Add data points into the Mango database from different sensor types (Control By Web & TED PRO)
    7. Create arithmetic data points to show total usage, production, etc
    8. Troubleshoot compatibility issues between our interface, Mango, and the existing sensors
    9. Make the end interface publically accessible
    10. Document the entire creation process
    The solutions we developed were the:
    1. Use of open source technologies to create an SVG based interactive map
    2. Use of open source technologies to create JavaScript based data point mapping
    3. Implementation of Mango JQuery API to integrate data points with web interface
    4. Experimentation with Mango database to successfully integrate multiple types of sensors into a centralized system using the HTTP retriever and TCP/IP data sources
    5. Creation of user permissions and groups, in order to allow end users to access parts of the database
    6. Creation of a versatile web interface that can be adapted to any type of centralized database and querying API
    7. Documentation of entire process and publication of code onto the Energy lab servers
    From this project, I personally learned how to set up a telemetry system, how to conduct metadata analysis, and the power of energy micro grids. I also gained the experience of working on a professional project with direct communication to the CEO and Lead Programmers of Mango, in order to craft an optimal solution with given constraints by a specific deadline. On the larger scale of the school, community, and planet, this project allowed me to put data into the hands of the community. Through this easy to use interface, all of the campus’s data is now easily accessible to both the students and the faculty, encouraging engagement and analysis. Through a bigger involved community, we can move more cohesively toward a more sustainable future at HPA. Finally, by making data trends and solutions more apparent to those in charge of making changes, this project will leave behind the legacy of being one more step forward in HPA’s growth towards a more sustainable future.

    Comments

    nair_s
    Apr 29, 2017

    legendary