Wabash Heartland Innovation Network (WHIN)


IoT Infrastructure and Data Analytics

Purdue IoT


The IoT Infrastructure and Data Analytics Team is a group of interdisciplinary researchers at Purdue University whose collaborative effort is funded by the SMART industry consortium and the Wabash Heartland Innovation Network (WHIN).

The Wabash Heartland Innovation Network is a consortium of 10 counties in north-central Indiana devoted to working together to fuel prosperity by harnessing the power of Internet-enabled sensors to develop our region into a global epicenter of digital agricultural and next-generation manufacturing.

The SMART consortium provides a structure by which interested companies can collaborate with Purdue researchers, in the pursuit of exploratory pre-competitive research in low cost IoT device manufacturing, IoT communication and networking as well as data analytics for a variety of applications in healthcare, agriculture, manufacturing, and smart infrastructure.

IoT Infrastructure & Data Analytics Mission:

Development, Implementation & Engagement


Digital Agriculture

Engage agriculture producers/businesses in the region and develop agriculture IoT testbeds

Next-Generation Manufacturing

Enable real-time analytics of manufacturing systems and develop manufacturing IoT testbeds

Regional Cultivation & Living Lab Initiatives

Invest in innovative place-making projects that increase education, vitality, and connectivity

High-Tech Ecosystem

Create an ecosystem for low-cost printed IoT devices and data analytics in the WHIN region

Internet of Things (IoT)


The past fifteen years have seen broadband Internet becoming more widely available, the cost of connecting decreasing, more devices being created with Wi-Fi capabilities and sensors built into them, technology costs going down, and smartphone penetration sky-rocketing. This has created the climate to usher in the next technological revolution, the Internet of Things, or IoT for short.

The IoT is a network of internet-connected objects able to collect and exchange data using embedded sensors. Any stand-alone internet-connected device that can be monitored and/or controlled from a remote location is considered an IoT device. Cars, kitchen appliances, and even heart monitors can all be connected through the IoT.

“The First Wave of the Internet was bringing the world online. The Second Wave has been about building apps and services on top of the Internet. But now the Third Wave has begun, as the Internet integrates seamlessly and pervasively through every aspect of our lives, changing how we work, how we learn, how we stay healthy, how we get around, and even how we eat.” -Steve Case

The term was coined by Kevin Ashton of Proctor & Gamble only in 1999, and has grown exponentially year over year since then. The interconnected relationships will only continue to develop, and will be between people-things, but also between people-people, and eventually things-things

Deployed Sensors


Sensor List Shows a list of all deployed sensors along with their location and remaining battery. Click on ID in order to get specific information on each sensor as well as the graphical log of the measurements. You can also export the measurements to a CSV file for further analysis.

Real-time Measurements Shows real-time temperature and humidity measurements from the display sensor at the Birck Nanotechnology Center.


Sensor Distribution Shows the location of the deployed sensors: Click on each sensor to display real-time and history information on the collected measurements.

Heatmap Displays average temperature or humidity directly on the map for a given date.

Data analytics Displays data analytics (e.g. anomaly detection) from the display sensor at the Birck Nanotechnology Center.

News


  • See you at the IEEE SENSORS 2019 Conference (October 27-30, Montreal Canada) where we are scheduled for a lecture in the Sensor Networks & Internet of Things session (B1L-E, Tuesday October 29th 10:30-12:00). The title of our talk/paper is "Wireless Sensor Network Utilizing Flexible Nitrate Sensors for Smart Farming"!

  • The September 2019 WHIN is now online (pdf)!

  • Thank you for stopping by our booth at the Purdue 2050: Conference of the Future!

  • The March 2019 WHIN report can be downloaded here (in pdf form)

  • Our SMART Industry day is on May 16th! We will have presentations, posters, and demos from the Purdue-WHIN groups as well

People


  • The IoT Infrastructure and Data Analytics Team collaborates directly with the SMART and the WHIN teams.
  • Ali Shakouri Ali Shakouri - Director of Birck Nanotechnology Center
    Mary Jo and Robert L. Kirk Director of Birck Nanotechnology Center
    Professor of Electrical and Computer Engineering
    WHIN Involvement: Lead faculty for the WHIN-Purdue team

    BRK 1027B
  • Saurabh Bagchi Saurabh Bagchi
    Professor of Electrical and Computer Engineering
    WHIN Involvement: Development of Sensor Networks, Security, Sensor Analytics and Visualization; WHIN IoT Systems Lead

    EE 325
  • Muhammad Ashraful Alam Muhammad Ashraful Alam
    Jai N. Gupta Professor of Electrical and Computer Engineering
    WHIN Involvement: Physical model of sensors

    WANG 3051
  • Mukerrem (Miko) Cakmak Mukerrem (Miko) Cakmak
    Reilly Professor of Materials and Mechanical Engineering
    WHIN Involvement: Low cost sensor manufacturing

    BRK 1021
  • Nancy Denton Nancy Denton
    Associate Head for Academic Programs/Professor of Engineering Technology, Purdue Polytechnic Institute
    WHIN Involvement: Machine health monitoring and predictive maintenance

    KNOY 137
  • Nicholas Glassmaker Nicholas Glassmaker
    Research Scientist, Birck Nanotechnology Center
    WHIN Involvement: Roll to roll manufacturing

    BRK 1010
  • Karthik Kannan Karthik Kannan
    Thomas Howatt Chaired Professor in Management and Director for BIAC (Business Information and Analytics Center) Krannert School of Management
    WHIN Involvement: Monetization of data

    RAWLS 4021
  • Jan-Anders Mansson Jan-Anders Mansson
    Distinguished Professor of Materials and Chemical Engineering
    WHIN Involvement: Sensor cost modeling and projections

    IMI 108
  • Charilaos (Harris) Mousoulis Charilaos (Harris) Mousoulis
    Sr. Research Scientist, School of Electrical and Computer Engineering
    WHIN Involvement: Project Manager of IoT Infrastructure and Data Analytics

    BRK 1268
  • Dimitrios Dimitrios Peroulis
    Michael and Katherine Birck Head of the School of Electrical and Computer Engineering
    Reilly Professor of Electrical and Computer Engineering and Mechanical Engineering (courtesy)
    WHIN Involvement: Sensor Electronics, Networks, and Deployment

     EE 122B
  • Nithin Raghunathan Nithin Raghunathan
    Research Scientist, Birck Nanotechnology Center
    WHIN Involvement: Coordinates Sensor Electronics and Deployment

     BRK 2038
  • Rahim Rahimi Rahim Rahimi
    Assistant Professor of Materials Engineering
    WHIN Involvement: Soil Sensor Development

     BRK 2262
  • Bruno Ribeiro Bruno Ribeiro
    Assistant Professor of Computer Sciences
    WHIN Involvement: Machine Learning based prediction

    LWSN 2142C
  • Shreyas Sen Shreyas Sen
    Assistant Professor of Electrical and Computer Engineering
    WHIN Involvement: IoT edge analytics

    MSEE 226