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Pagoda Project

PAGODA Project: development of a Smart Campus at the University of Murcia (UMU)

Bosonit, supported by the Elliot Cloud technologies, through the Pagoda Project, we are committed to digitalisation and the application of IoT technologies (Internet Of Things) to improve people's quality of life and well-being. In collaboration with the University of Murcia, we have set up a project of Smart Campus2,535,000, starting on 12/04/2021 and ending on 01/03/2023, to improve and optimise the processes related to facilities, services and infrastructures, seeking to achieve the sustainability of the site through the implementation of sensors in the infrastructures to collect information on aspects such as:

  • Energy consumption (Smart Energy).
  • Energy production.
  • Laboratory control and monitoring.
  • Number plate control in car parks.
  • CO2 emissions check.
  • Temperature and humidity of buildings.
  • Waste management.

By monitoring these processes, it is possible to know and calculate the impact of certain events, events or activities that serve as a source of information to improve decision-making, planning, and the resolution of specific or long-term problems that may arise. The University of Murcia is one of the pioneering universities in the implementation of projects of this nature and the management considers the digitisation of its campus to be fundamental through the implementation of IoT technologies to learn more about what is going on in it.

With these analysed data it is possible to adjusting building energy and water costsThe project has also been used to control and divert traffic if there are traffic jams at certain points on the campus or if a car park is full, notifying other parking spaces, among other variables. Since its implementation, the first positive results of the project can already be seen immediately in different areas, as shown in the following table the newspaper La Verdad:

  • The campus energy consumption has been reduced by 26%.
  • The energy footprint emissions have been reduced by 15% to 17% in terms of CO2 emissions.

Purpose of the Pagoda project

The aim of the Pagodda project is to design and develop a platform for Smart Campus for the University of Murciacombining 5G, IoT and NFV technologies that, amalgamated with AI techniques, will provide collective intelligence to the University in order to improving the efficiency and sustainability of the environment where it is applied, while at the same time simplifying its management, trying to achieve Zero Touch (minimising human intervention).

What is PAGODA?

PAGODA aims to be a versatile and intelligent platform, covering the three levels of the paradigm Cloud / Fog / Edge Computing and tries to make the most of the benefits it obtains from the network layer (5G) to offer virtualised services. It uses information from sensors of all kinds deployed throughout the campus, from existing networks (5G, 4G, WI-FI, Bluetooth, LORA, etc.) and from the equipment connected to these networks (mobiles, cards, access barriers, vehicles, etc.) to efficiently manage the services running on the platform, as well as the platform itself.

The platform can be managed from a web portal and will allow new services to be uploaded that can make use of the AI built into the platform without the services having to implement it.

PAGODA is a distributed platform, enabling edge node processing with dynamic choice, depending on the type of service and environmental conditions, following the MEC Computing paradigm.

To demonstrate that all this is possible, we have prepared a series of use cases which, when applied together, will provide the University of Murcia with a smart campus and adaptable, ready to facilitate the tasks of its users in their daily life on campus for the future.

pagoda umu logo

 

Technologies used in the Pagoda Project

  • Red 5g MPN (offered by 5G SA)
  • Angular 11 (web portal)
  • Keyrock, Authzforce and Wilma (FIWARE components for access management)
  • Apache Kafka
  • Python
  • Ski-Learn, TensorFlow Lite and xGboost libraries
  • Big Data Tools: HDFS, MapReduce2, YARN, Tez, Hive, Zookeeper, Kafka, NiFi, Spark2, Zeppelin Notebook and Ranger
  • NFV and CNF (virtualisation of services)
  • OSM (orchestration of virtual services and SCM applications)
  • Openstack and Kubernetes
  • ONOS (SDN controller)
  • 5GROWTH (telemetry orchestration and aggregation)
  • Prometheus (monitoring and alerts)
  • freeRADIUS (WiFi network authentication and authorisation services)
  • PostgresSQL and MongoDB
  • IdLoc. (Localisation database)
  • AWS
  • Elliot Cloud as an IoT server

 

This pilot project has been co-financed with ERDF and European Union funds. Centre for the Development of Industrial Technology (CDTI)