sensor_andrew

Funding

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Project Status:

Current

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Sensor Andrew: Large-Scale Sensing and Actuation

Faculty & Collaborators

Anthony Rowe , Mario Bergés

Project Description

Sensor Andrew is an experiment on the interoperability and semantic capabilities of cyber-physical systems. It is a collection of hardware and software elements that together form a virtual instrument for large-scale sensing and actuation, intended to help deliver sensor-driven decision support for our built environment. The Sensor Andrew infrastructure enables researchers to easily tap into an Internet-scale resource of sensors and actuators in a manner that is extensible, easy-to-use, and secure while maintaining privacy.

Sensor Andrew: A virtual instrument for large-scale sensing and actuation from Mario Berges on Vimeo.

For more information about the project, visit the project’s webiste:

http://sensor.andrew.cmu.edu

Selected Publications

  1. C. Palmer, P. Lazik, M. Buevich, J. Gao, M. Berges, A. Rowe, R. L. Pereira, and C. Martin, "Mortar.Io: A Concrete Building Automation System: Demo Abstract," in Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, New York, NY, USA, 2014, pp. 204-205.
    bibtex Go to document Go to Publication
    @inproceedings{Palmer:2014:MCB:2674061.2675035, author = {Palmer, Christopher and Lazik, Patrick and Buevich, Maxim and Gao, Jingkun and Berges, Mario and Rowe, Anthony and Pereira, Ricardo Lopes and Martin, Christopher},
      title = {Mortar.Io: A Concrete Building Automation System: Demo Abstract},
      booktitle = {Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings},
      series = {BuildSys '14},
      year = {2014},
      isbn = {978-1-4503-3144-9},
      location = {Memphis, Tennessee},
      pages = {204--205},
      numpages = {2},
      url = {http://doi.acm.org/10.1145/2674061.2675035},
      doi = {10.1145/2674061.2675035},
      acmid = {2675035},
      publisher = {ACM},
      address = {New York, NY, USA},
      } }
  2. S. M. Shahandashti, S. N. Razavi, L. Soibelman, M. Berges, C. H. Caldas, I. Brilakis, J. Teizer, P. Vela, C. Haas, J. H. Garrett, B. Akinci, and Z. Zhu, "CEC: Data Fusion Approaches and Applications for Construction Engineering," Journal of Construction Engineering and Management, 2010.
    bibtex Go to document Go to Publication
    @article{shahandashti_data_2010, title = {{CEC:} Data Fusion Approaches and Applications for Construction Engineering},
      abstract = {Data fusion can be defined as the process of combining data or information for estimating the state of an entity. Data fusion is a multi-disciplinary field that has several benefits, such as enhancing the confidence, improving reliability and reducing ambiguity of measurements for estimating the state of entities in engineering systems. It can also enhance completeness of fused data that can be required for estimating the state of engineering systems. Data fusion has been applied to different fields, such as robotics, automation, and intelligent systems. This paper reviews some examples of recent applications of data fusion in civil engineering and presents some of the potential benefits of using data fusion in civil engineering.},
      journal = {Journal of Construction Engineering and Management},
      author = {Shahandashti, S. M. and Razavi, Saiedeh N. and Soibelman, Lucio and Berges, Mario and Caldas, Carlos H. and Brilakis, Ioannis and Teizer, Jochen and Vela, Patricio and Haas, Carl and Garrett, James H. and Akinci, Burcu and Zhu, Zhenhua},
      year = {2010},
     }
  3. A. Rowe, M. Berges, G. Bhatia, E. Goldman, R. Rajkumar, J. H. Garrett, J. M. F. Moura, and L. Soibelman, "Sensor Andrew: Large-scale campus-wide sensing and actuation," IBM Journal of Research and Development, vol. 55, iss. 1.2, p. 6:1-6:14, 2011.
    bibtex Go to document Go to Publication
    @article{rowe_sensor_2011, title = {Sensor Andrew: Large-scale campus-wide sensing and actuation},
      volume = {55},
      issn = {0018-8646},
      doi = {10.1147/JRD.2010.2089662},
      number = {1.2},
      journal = {{IBM} Journal of Research and Development},
      author = {Rowe, Anthony and Berges, Mario and Bhatia, Gaurav and Goldman, Ethan and Rajkumar, Raj and Garrett, James H. and Moura, José M. F. and Soibelman, Lucio},
      month = jan, year = {2011},
      pages = {6:1 -- 6:14},
     }