Use caseCreating a global open research platform
Open IoT Data ScienceTo better understand what socially sustainability entails with data from a real life village
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.
BackgroundCurrent smart services in Veberöd
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.
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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 |
Where are the gaps and where can we help?
Christopher Tate
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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.
- We expand on the strategy to have this platform to be open, scalable, secure and reliable for researchers.
Use caseOpen IoT Data ScienceProvided Digitalization Services
OpenAPIs for live and simulated data Background - Our data visualization strategy
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The reason IoT data science requires open standards
- Interacts with external services to gather live data.
- Interacts with open source applications to simulate traffic.
- We design and create the data visualization strategy and front end application for researchers and stakeholders.
- Helps University students study smart city indicators.
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 |