What is Smart Village Project?Open IoT Data Science Portfolio Architecture

How Red Hat and Boston University are working together to develop software for eco-smart cities and well-being.Showcasing our successful customer deployment of Smart Village Technology to the New England Research Cloud

Use caseCreating a global open research platform

To better understand what socially sustainability entails with data from a real life villageOpen IoT Data Science

Using existing open source standards for IoT smart data models to manage smart device messaging and AI/ML data at the Edge, to secure data science in the Cloud.

Red Hat Global Social Innovation Program is partnering with Boston University and Smarta Byar in order to collaborate on creating a global and open research platform allowing researchers to study what social sustainability means by using a digital twin of Veberöd, Sweden as the test village, supported by Smarta Byar. The goal of this collaboration is to build the open source technological infrastructure so that researchers can collaborate on this platform effectively to study mobility, public health, sustainability among other study areas to ultimately help define better the link between well being and eco-smart cities.

Current smart services in VeberödBackground

The reason IoT data science requires open standardsVeberöd led by Smarta Byar already enjoys the benefits of several IoT based solutions

    IoT solutions that are based on open standards for smart device data make standard data exchange possible.Smart data exchange can happen from the edge to the cloud, or from partner to partner.This enables easy collaboration between different services using a common data space based on trust, which is why we incorporate the FIWARE organization's open standards for smart device data.

  • A digital twin of the village, for easy visualisation created from thousands of drone pictures and implemented through a gaming software by the University of Lund.

  • Middleware provided by Sensative through Yggio, a digitalization management system.
  • Some of their already implemented use cases are:

    Where are the gaps and where can we help?
  • Our data visualization strategy
  • monitoring cattle water supply, for agricultural benefits Monday
  • barbecue usage, to promote social engagement
  • bus shelter temperature monitoring, to protect vulnerable passengers
  • GPS bike tracking, to reduce thefts, and aid recovery of stolen bikes
  • pre-school security, for child safety
  • water quality monitoring, to benefit human health
  • traffic and noise monitoring, to benefit human health and safety
  • May 23 2022

    Open IoT Data Science Portfolio ArchitectureWhere are the gaps and where can we help? Showcasing our successful customer deployment of Smart Village Technology to the New England Research Cloud Christopher Tate
  • Red Hat has partnered with BU and Smartabyar to expand the current technological infrastructure for open source software teams to collaborate effectively, and ultimately help define better the link between well being and eco-smart cities.
  • We design and create the data visualization strategy and front end application for researchers and stakeholders.
  • Our data visualization strategy
  • Interacts with open source applications to simulate traffic.
  • Helps University students study smart city indicators.
  • We expand on the strategy to have this platform to be open, scalable, secure and reliable for researchers.
  • Use case

    Open IoT Data ScienceProvided Digitalization Services

    OpenAPIs for live and simulated data Background
      The reason IoT data science requires open standards
    • Interacts with external services to gather live data.
  • Designing the Smart Traffic Light Algorithms

    at Boston University

    Boston University students have done an incredible job simulating traffic at the first potential intersection requiring a traffic light in Veberöd. They use an open source application called SUMO to pick a place on a map and load in all the road data into a directory of files for simulation. The road data did not have all the details they needed to simulate pedestrian traffic, so they used the SUMO tools to add those sidewalks. The default traffic light algorithm proved to be inefficient, so they put their advanced science background to work to develop a new traffic pattern that optimized the traffic flow in all directions for both vehicles and people traffic. The new simulation works very efficiently as you can see in the simulation above, where the cars are orange dots, the pedestrians are purple dots, and the traffic light turns from green to red over time.

    Building a scalable application

    on Red Hat OpenShift

    To be able to share the project online, and provide role-based access control to the traffic and IOT data, I have put together the software we came up with at the beginning of the project. OpenAPIs for smart cities with use cases to do the following:

    • Interact with external services to gather live data
    • Interact with open source applications to simulate traffic
    • Help University students study smart city indicators

    The site, which you can find running live in production here at smartabyarsmartvillage.org has everything an innovative project running in the cloud deserves, security, high availability, scalability, updates, storage and more. The site is deployed on the Operate First environment. It’s an open source community cloud where maintainers come use environments to develop, deploy, and operate their services in an open fashion on Red Hat OpenShift.

    As a brand new open source project growing in maturity, we are integrating our project with the Open Source Software Foundation standards for obtaining a Best Practices Badge. We hope to build a community around smart cities that can thrive by observing all the standards in our project around documentation, change control, reporting, quality, security, and analysis. I’m pleased to announce that our latest stable version of the smartvillage-platform project is now available in the following community locations:

    Tuesday
    July 5 2022 What is Smart Village Project? How Red Hat and Boston University are working together to develop software for eco-smart cities and well-being. Christopher Tate
    Creating a global open research platform To better understand what socially sustainability entails with data from a real life village
    Current smart services in Veberöd Veberöd led by Smarta Byar already enjoys the benefits of several IoT based solutions
    Where are the gaps and where can we help? Where are the gaps and where can we help?
    Provided Digitalization Services OpenAPIs for live and simulated data
    Designing the Smart Traffic Light Algorithms at Boston University
    Building a scalable application on Red Hat OpenShift

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