EnvyPorto - Revision history

Pinfold at 23:02, January 24, 2023

2023-01-24T23:02:48Z

← Older revision		Revision as of 23:02, January 24, 2023
Line 33:		Line 33:
	* Phase II Deployment:		* Phase II Deployment:
	Deployment of application in the city		Deployment of application in the city
			\|chapter=Internet of Things
	\|supercluster=Transportation		\|supercluster=Transportation
	\|year=2016, 2017		\|year=2016, 2017

Pinfold at 05:52, March 24, 2022

2022-03-24T05:52:15Z

← Older revision		Revision as of 05:52, March 24, 2022
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	{{ActionCluster		{{ActionCluster
			\|image=PortoPortugal.jpg
	\| ~~title~~ = ~~EnvyPorto~~		\|team=Citibrain (Portugal), InterInnov (France), Technical University Madrid (Spain)
	\| team = Citibrain (Portugal), InterInnov (France), Technical University Madrid (Spain)		\|leader=Rui Costa
			\|imagecaption=Porto Portugal
	\| leader = Rui ~~A. Cota~~		\|municipalities=Porto Portugal
	~~\| email = rcosta@ubiwhere.com~~		\|status=Ready for Public Announcement
	~~<!--[mailto:dcorreia@ubiwhere.com Diogo Correia]; [mailto:jmagen@interinnov.eu Jacques Magen]-->~~		\|website=https://vimeo.com/173345729
	~~\| image = PortoPortugal.jpg~~		\|description=Through small and low cost sensing stations that can be installed in the urban infrastructure, it is possible to create a dynamic high level map of indicators on air quality, noise pollution levels, temperature, atmospheric pressure, humidity and luminosity. Using this high level map in articulation with the data collected using a small number of certified sensing stations (usually high-cost stations), cities will be able to define dynamic urban policies, namely on mobility and energy.
	\| imagecaption = Porto Portugal		\|challenges=Smart Environmental Quality
	\| municipalities = Porto Portugal		\|solutions=TBD
	\| status = Ready for Public Announcement		\|requirements=* Assessment of specific requirements from the city involved
	\| website = https://vimeo.com/173345729
	~~\| download =~~

	\| description =
	Through small and low cost sensing stations that can be installed in the urban infrastructure, it is possible to create a dynamic high level map of indicators on air quality, noise pollution levels, temperature, atmospheric pressure, humidity and luminosity. Using this high level map in articulation with the data collected using a small number of certified sensing stations (usually high-cost stations), cities will be able to define dynamic urban policies, namely on mobility and energy.

	\| challenges =
	Smart Environmental Quality

	\| solutions =

	\| requirements =
	* Assessment of specific requirements from the city involved
	* Adaptation of the existing solution according to such needs		* Adaptation of the existing solution according to such needs
	* Testing application pilot in a controlled real environment		* Testing application pilot in a controlled real environment
Line 29:		Line 16:
	* Scale up the solution to a broader coverage		* Scale up the solution to a broader coverage
	* Deployment of solution in city		* Deployment of solution in city
			\|kpi=* CO2 emissions reduction of 40% (SEAP Plan - from 2004 until 2020)

	\| kpi =
	* CO2 emissions reduction of 40% (SEAP Plan - from 2004 until 2020)
	* Improve 20% of the energy efficiency (Covenant of Mayors)		* Improve 20% of the energy efficiency (Covenant of Mayors)
	* Introduction of 20% of renewable energy (Covenant of Mayors)		* Introduction of 20% of renewable energy (Covenant of Mayors)
	* Improvement of the quality of life of the citizens (PEDU)		* Improvement of the quality of life of the citizens (PEDU)
			\|measurement=In order to assess the benefits for the city and its citizens, the Methodologies in use will consist of direct and indirect methodologies and studies of the quality of life of the citizens. These will be applied and developed by external agencies such as the Agency for Energy, who will work in collaboration with the municipality in this project.
			\|standards=* This project will leverage on FIWARE (https://www.fiware.org/), a public, royalty-free and open source platform that eases the development of Smart Applications in multiple vertical sectors. Besides being one of the reference platforms for GCTC 2016, FIWARE is contributing to the International Technical Working Group on IoT-Enabled Smart City Framework launched by NIST. FIWARE brings the NGSI standard API which represents a pivot point for Interoperability and Portability of smart city applications and services.

	\| measurement =
	In order to assess the benefits for the city and its citizens, the Methodologies in use will consist of direct and indirect methodologies and studies of the quality of life of the citizens. These will be applied and developed by external agencies such as the Agency for Energy, who will work in collaboration with the municipality in this project.

	\| standards =
	* This project will leverage on FIWARE (https://www.fiware.org/), a public, royalty-free and open source platform that eases the development of Smart Applications in multiple vertical sectors. Besides being one of the reference platforms for GCTC 2016, FIWARE is contributing to the International Technical Working Group on IoT-Enabled Smart City Framework launched by NIST. FIWARE brings the NGSI standard API which represents a pivot point for Interoperability and Portability of smart city applications and services.
	* Such FIWARE NGSI API is one of the pillars of the Open & Agile Smart Cities initiative (http://oascities.org/), a driven-by-implementation initiative that works to address the needs from the cities avoiding vendor lock-in, comparability to benchmark performance, and easy sharing of best practices. There are currently 89 cities from 19 countries in Europe, Latin America and Asia-Pacific who have officially joined this initiative, including the city of Porto.		* Such FIWARE NGSI API is one of the pillars of the Open & Agile Smart Cities initiative (http://oascities.org/), a driven-by-implementation initiative that works to address the needs from the cities avoiding vendor lock-in, comparability to benchmark performance, and easy sharing of best practices. There are currently 89 cities from 19 countries in Europe, Latin America and Asia-Pacific who have officially joined this initiative, including the city of Porto.
			\|cybersecurity=TBD
			\|impacts=* Strategic contribute for urban planning
	\| cybersecurity =

	\| impacts =
	* Strategic contribute for urban planning
	* Decision support systems for civil protection		* Decision support systems for civil protection
	* Improved public image		* Improved public image
	* Platform to interact with citizens		* Platform to interact with citizens
			\|demonstration=* Phase I Pilot/Demonstration:

	\| demonstration =
	* Phase I Pilot/Demonstration:
	Deployment of application pilot in a real environment, testing the performance with a set of early adopters		Deployment of application pilot in a real environment, testing the performance with a set of early adopters

	* Phase II Deployment:		* Phase II Deployment:
	Deployment of application in the city		Deployment of application in the city
			\|supercluster=Transportation
			\|year=2016, 2017
	\| supercluster = Transportation		\|title=EnvyPorto
	\| year = 2017		\|email=rcosta@ubiwhere.com
			<!--[mailto:dcorreia@ubiwhere.com Diogo Correia]; [mailto:jmagen@interinnov.eu Jacques Magen]-->
	}}		}}

	~~[[Category:Year_2016]]~~

Pinfold at 19:36, March 12, 2022

2022-03-12T19:36:03Z

← Older revision		Revision as of 19:36, March 12, 2022
Line 9:		Line 9:
	\| image = PortoPortugal.jpg		\| image = PortoPortugal.jpg
	\| imagecaption = Porto Portugal		\| imagecaption = Porto Portugal
	\| municipalities = Porto (Portugal)		\| municipalities = Porto Portugal
	\| status = Ready for Public Announcement		\| status = Ready for Public Announcement
	\| website = https://vimeo.com/173345729		\| website = https://vimeo.com/173345729

Pinfold at 05:03, November 11, 2021

2021-11-11T05:03:19Z

← Older revision		Revision as of 05:03, November 11, 2021
Line 4:		Line 4:
	\| team = Citibrain (Portugal), InterInnov (France), Technical University Madrid (Spain)		\| team = Citibrain (Portugal), InterInnov (France), Technical University Madrid (Spain)

	\| leader = Rui A. Cota]		\| leader = Rui A. Cota
	\| email = rcosta@ubiwhere.com		\| email = rcosta@ubiwhere.com
	<!--[mailto:dcorreia@ubiwhere.com Diogo Correia]; [mailto:jmagen@interinnov.eu Jacques Magen]-->		<!--[mailto:dcorreia@ubiwhere.com Diogo Correia]; [mailto:jmagen@interinnov.eu Jacques Magen]-->

Pinfold at 05:02, November 11, 2021

2021-11-11T05:02:45Z

← Older revision		Revision as of 05:02, November 11, 2021
Line 7:		Line 7:
	\| email = rcosta@ubiwhere.com		\| email = rcosta@ubiwhere.com
	<!--[mailto:dcorreia@ubiwhere.com Diogo Correia]; [mailto:jmagen@interinnov.eu Jacques Magen]-->		<!--[mailto:dcorreia@ubiwhere.com Diogo Correia]; [mailto:jmagen@interinnov.eu Jacques Magen]-->
	\| image =		\| image = PortoPortugal.jpg
	\| imagecaption =		\| imagecaption = Porto Portugal
	\| municipalities = Porto (Portugal)		\| municipalities = Porto (Portugal)
	\| status = Ready for Public Announcement		\| status = Ready for Public Announcement

Pinfold: 1 revision imported

2021-10-31T20:44:44Z

1 revision imported

← Older revision		Revision as of 20:44, October 31, 2021
(No difference)

en>Ocadmin at 05:16, March 23, 2020

2020-03-23T05:16:31Z

New page

{{ActionCluster

| title = EnvyPorto
| team = Citibrain (Portugal), InterInnov (France), Technical University Madrid (Spain)

| leader = Rui A. Cota]
| email = rcosta@ubiwhere.com

| image =
| imagecaption =
| municipalities = Porto (Portugal)
| status = Ready for Public Announcement
| website = https://vimeo.com/173345729
| download =

| description =
Through small and low cost sensing stations that can be installed in the urban infrastructure, it is possible to create a dynamic high level map of indicators on air quality, noise pollution levels, temperature, atmospheric pressure, humidity and luminosity. Using this high level map in articulation with the data collected using a small number of certified sensing stations (usually high-cost stations), cities will be able to define dynamic urban policies, namely on mobility and energy.

| challenges =
Smart Environmental Quality

| solutions =

| requirements =
* Assessment of specific requirements from the city involved
* Adaptation of the existing solution according to such needs
* Testing application pilot in a controlled real environment
* Refinement of application’s performance according to the feedback gathered
* Scale up the solution to a broader coverage
* Deployment of solution in city

| kpi =
* CO2 emissions reduction of 40% (SEAP Plan - from 2004 until 2020)
* Improve 20% of the energy efficiency (Covenant of Mayors)
* Introduction of 20% of renewable energy (Covenant of Mayors)
* Improvement of the quality of life of the citizens (PEDU)

| measurement =
In order to assess the benefits for the city and its citizens, the Methodologies in use will consist of direct and indirect methodologies and studies of the quality of life of the citizens. These will be applied and developed by external agencies such as the Agency for Energy, who will work in collaboration with the municipality in this project.

| standards =
* This project will leverage on FIWARE (https://www.fiware.org/), a public, royalty-free and open source platform that eases the development of Smart Applications in multiple vertical sectors. Besides being one of the reference platforms for GCTC 2016, FIWARE is contributing to the International Technical Working Group on IoT-Enabled Smart City Framework launched by NIST. FIWARE brings the NGSI standard API which represents a pivot point for Interoperability and Portability of smart city applications and services.
* Such FIWARE NGSI API is one of the pillars of the Open & Agile Smart Cities initiative (http://oascities.org/), a driven-by-implementation initiative that works to address the needs from the cities avoiding vendor lock-in, comparability to benchmark performance, and easy sharing of best practices. There are currently 89 cities from 19 countries in Europe, Latin America and Asia-Pacific who have officially joined this initiative, including the city of Porto.

| cybersecurity =

| impacts =
* Strategic contribute for urban planning
* Decision support systems for civil protection
* Improved public image
* Platform to interact with citizens

| demonstration =
* Phase I Pilot/Demonstration:
Deployment of application pilot in a real environment, testing the performance with a set of early adopters

* Phase II Deployment:
Deployment of application in the city

| supercluster = Transportation
| year = 2017

}}

[[Category:Year_2016]]