Real Time Resilience - Revision history

Pinfold at 05:03, January 25, 2023

2023-01-25T05:03:54Z

← Older revision		Revision as of 05:03, January 25, 2023
Line 5:		Line 5:
	\|imagecaption=CIMA Research Foundation		\|imagecaption=CIMA Research Foundation
	\|municipalities=Genoa Italy, Florence Italy, Bari Italy		\|municipalities=Genoa Italy, Florence Italy, Bari Italy
			\|status=Master Planning
	\|description=Objectives		\|description=Objectives
	* Improve the process of collecting environmental data from sensors coupled with existing geo-referential data about critical infrastructures and exposed people.		* Improve the process of collecting environmental data from sensors coupled with existing geo-referential data about critical infrastructures and exposed people.

Pinfold at 05:03, January 25, 2023

2023-01-25T05:03:39Z

← Older revision		Revision as of 05:03, January 25, 2023
Line 59:		Line 59:
	# Deployment of the integrated solution in the urban areas		# Deployment of the integrated solution in the urban areas
	# Replication to the metropolitan area via a dissemination plan		# Replication to the metropolitan area via a dissemination plan
			\|chapter=Designing and Implementing a Resilient Smart Public Safety Program
	\|supercluster=Public Safety		\|supercluster=Public Safety
	\|year=2016, 2017		\|year=2016, 2017

Pinfold at 06:55, May 18, 2022

2022-05-18T06:55:19Z

← Older revision		Revision as of 06:55, May 18, 2022
Line 64:		Line 64:
	\|email=pcastiglieri@comune.genova.it		\|email=pcastiglieri@comune.genova.it
	}}		}}
			__NOTOC__

Pinfold at 06:54, May 18, 2022

2022-05-18T06:54:52Z

← Older revision		Revision as of 06:54, May 18, 2022
Line 1:		Line 1:
	{{ActionCluster		{{ActionCluster
			\|image=CIMA Research Foundation.jpeg
	\| ~~title~~ = ~~REAL TIME RESILIENCE - Resilience data treatment tools towards Real Time decisions making~~		\|team=Leonardo Finmeccanica, CIMA Research Foundation, ENEA, Integrated Planning Policy and Regulation, European Commission
	\| team = Leonardo Finmeccanica, CIMA Research Foundation, ENEA, Integrated Planning Policy and Regulation, European Commission		\|leader=Paolo Castiglieri<!-- [mailto:francesco.valdevies@leonardocompany.com Francesco Valdevies] -->
	\| leader = Paolo Castiglieri		\|imagecaption=CIMA Research Foundation
	<!-- [mailto:francesco.valdevies@leonardocompany.com Francesco Valdevies] -->		\|municipalities=Genoa Italy, Florence Italy, Bari Italy
	~~\| email = pcastiglieri@comune.genova.it~~		\|description=Objectives
	~~\| image = CIMA Research Foundation.jpeg~~
	\| imagecaption = CIMA Research Foundation
	\| municipalities = Genoa (Italy)
	~~<!--~~ , ~~City of~~ Florence (Italy), ~~City of~~ Bari (Italy~~) -->~~

	~~\| status =~~
	~~\| website =~~
	~~\| download =~~

	\| description =
	Objectives
	* Improve the process of collecting environmental data from sensors coupled with existing geo-referential data about critical infrastructures and exposed people.		* Improve the process of collecting environmental data from sensors coupled with existing geo-referential data about critical infrastructures and exposed people.
	* Improve analysis, management and use of relevant data and practical information (Priority 1-a - Sendai Framework for DRR - UNISDR).		* Improve analysis, management and use of relevant data and practical information (Priority 1-a - Sendai Framework for DRR - UNISDR).
	* Develop and test new tools to improve citizens safety and security based on early warning systems, and high resolution nowcasting and short-term reactions to emergencies.		* Develop and test new tools to improve citizens safety and security based on early warning systems, and high resolution nowcasting and short-term reactions to emergencies.
	* Improve the knowledge of the territory and of the resilience capability of critical infrastructures .		* Improve the knowledge of the territory and of the resilience capability of critical infrastructures .
			\|challenges=* Develop, maintain and strengthen people-centred multi-hazard, multisectoral forecasting and early warning systems, disaster risk and emergency communications mechanisms, social technologies and hazard-monitoring telecommunications systems (Priority 4-b - Sendai Framework for DRR - UNISDR).
	\| challenges =
	* Develop, maintain and strengthen people-centred multi-hazard, multisectoral forecasting and early warning systems, disaster risk and emergency communications mechanisms, social technologies and hazard-monitoring telecommunications systems (Priority 4-b - Sendai Framework for DRR - UNISDR).
	* Testing new ways to engage citizens on a more structured and systemic approach, to leverage social force in anticipating and reacting to emergencies		* Testing new ways to engage citizens on a more structured and systemic approach, to leverage social force in anticipating and reacting to emergencies
			\|solutions=TBD
	\| solutions =		\|requirements=* Assessment of specific requirements from the city(ies) involved

	\| requirements =
	* Assessment of specific requirements from the city(ies) 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 35:		Line 19:
	* Scale up the solution to a broader coverage		* Scale up the solution to a broader coverage
	* Deployment of solution in cities		* Deployment of solution in cities
			\|kpi=* Increase of interoperability data index (IDI >0,5).
	\| kpi =
	* Increase of interoperability data index (IDI >0,5).
	* Increase in the number of people exposed who are near-real-time alerted to the danger (> 80% of exposed).		* Increase in the number of people exposed who are near-real-time alerted to the danger (> 80% of exposed).
	* Increase in prediction time (> 60 minutes)		* Increase in prediction time (> 60 minutes)
	* Decrease percentage of error in prediction of occurred events (< 10%)		* Decrease percentage of error in prediction of occurred events (< 10%)
	* 20% time reduction in early-warning short-term reaction of the emergency control center activities		* 20% time reduction in early-warning short-term reaction of the emergency control center activities
			\|measurement=* Interoperability data index: IDI = ((a x b) + (a x b) + …)/c
	\| measurement =
	* Interoperability data index: IDI = ((a x b) + (a x b) + …)/c
	a= weight of single data-set cluster;		a= weight of single data-set cluster;
	b= number of connection with other cluster;		b= number of connection with other cluster;
Line 57:		Line 37:
	a= benchmark of short-term reaction time;		a= benchmark of short-term reaction time;
	b= short-term reaction time using new tools		b= short-term reaction time using new tools
			\|standards=* on SSS (Security Supervision System – included in HARMONISE European Union Project http://harmonise.eu/ ):
	\| standards =
	* on SSS (Security Supervision System – included in HARMONISE European Union Project http://harmonise.eu/ ):
	Making-decision support system used in the city of Genoa that provides intelligence and resilience to complex urban built infrastructures and tools for mitigation, preparedness and response phase on resilience cycle.		Making-decision support system used in the city of Genoa that provides intelligence and resilience to complex urban built infrastructures and tools for mitigation, preparedness and response phase on resilience cycle.
	* on RESOLUTE (resolute-eu.org):		* on RESOLUTE (resolute-eu.org):
Line 65:		Line 43:
	* on PLUG–IN:		* on PLUG–IN:
	Data traffic processor from multiple heterogeneous sources, to estimate and determine the status of traffic of the system and to provide traffic status forecast information.		Data traffic processor from multiple heterogeneous sources, to estimate and determine the status of traffic of the system and to provide traffic status forecast information.
			\|cybersecurity=TBD
	\| cybersecurity =		\|impacts=* In terms of data generation, the expected benefits are on one hand the use of conventional data collector currently not applied to climatological purposes (eg. "black boxes car insurance" of road vehicles, etc.) on the other hand the study and the development of new reliable low-cost sensors.

	\| impacts =
	* In terms of data generation, the expected benefits are on one hand the use of conventional data collector currently not applied to climatological purposes (eg. "black boxes car insurance" of road vehicles, etc.) on the other hand the study and the development of new reliable low-cost sensors.
	* In term of data collecting, is expected the development of a replicable digital platform easily adaptable to the needs of territories and communities with different characteristics and different risks to be faced.		* In term of data collecting, is expected the development of a replicable digital platform easily adaptable to the needs of territories and communities with different characteristics and different risks to be faced.
	* In term of data processing, is expected the involvement of the academic research in developing of new and more effective algorithms to improve data treatment and management.		* In term of data processing, is expected the involvement of the academic research in developing of new and more effective algorithms to improve data treatment and management.
	* improve the systems of weather nowcasting, forecasting and mid-long term climatological previsions to give better, smart safety tools and services to the city and citizens.		* improve the systems of weather nowcasting, forecasting and mid-long term climatological previsions to give better, smart safety tools and services to the city and citizens.
	* Data will also be used more efficiently for accelerating the city decision process and response time to emergencies.		* Data will also be used more efficiently for accelerating the city decision process and response time to emergencies.
			\|demonstration=* Phase I Pilot/Demonstration June 2016:
	\| demonstration =
	* Phase I Pilot/Demonstration June 2016:
	# Local condition analysis and sensors infrastructure deployment		# Local condition analysis and sensors infrastructure deployment
	# Deployment of an application pilot in a real environment		# Deployment of an application pilot in a real environment
Line 85:		Line 58:
	# Integration of the different cities pilots through the pivotal point of interoperability		# Integration of the different cities pilots through the pivotal point of interoperability
	# Deployment of the integrated solution in the urban areas		# Deployment of the integrated solution in the urban areas
	# Replication to the metropolitan area via a dissemination plan		# Replication to the metropolitan area via a dissemination plan
			\|supercluster=Public Safety
	\| supercluster = Public Safety		\|year=2016, 2017
	\| year = 2017		\|title=REAL TIME RESILIENCE - Resilience data treatment tools towards Real Time decisions making
			\|email=pcastiglieri@comune.genova.it
	}}		}}

	~~[[Category:Year_2016]]~~

Pinfold at 20:08, February 14, 2022

2022-02-14T20:08:01Z

← Older revision		Revision as of 20:08, February 14, 2022
Line 2:		Line 2:

	\| title = REAL TIME RESILIENCE - Resilience data treatment tools towards Real Time decisions making		\| title = REAL TIME RESILIENCE - Resilience data treatment tools towards Real Time decisions making
	\| team = Leonardo Finmeccanica, CIMA Research Foundation, ENEA, Integrated Planning Policy and Regulation, European ~~Innovation Partnership for Smart cities and Communities~~		\| team = Leonardo Finmeccanica, CIMA Research Foundation, ENEA, Integrated Planning Policy and Regulation, European Commission
	\| leader = Paolo Castiglieri		\| leader = Paolo Castiglieri
	<!-- [mailto:francesco.valdevies@leonardocompany.com Francesco Valdevies] -->		<!-- [mailto:francesco.valdevies@leonardocompany.com Francesco Valdevies] -->

Pinfold at 19:54, February 13, 2022

2022-02-13T19:54:30Z

← Older revision		Revision as of 19:54, February 13, 2022
Line 16:		Line 16:

	\| description =		\| description =
			Objectives
	* Improve the process of collecting environmental data from sensors coupled with existing geo-referential data about critical infrastructures and exposed people.		* Improve the process of collecting environmental data from sensors coupled with existing geo-referential data about critical infrastructures and exposed people.
	* Improve analysis, management and use of relevant data and practical information (Priority 1-a - Sendai Framework for DRR - UNISDR).		* Improve analysis, management and use of relevant data and practical information (Priority 1-a - Sendai Framework for DRR - UNISDR).

Pinfold at 19:27, February 13, 2022

2022-02-13T19:27:28Z

← Older revision		Revision as of 19:27, February 13, 2022
Line 2:		Line 2:

	\| title = REAL TIME RESILIENCE - Resilience data treatment tools towards Real Time decisions making		\| title = REAL TIME RESILIENCE - Resilience data treatment tools towards Real Time decisions making
	\| team = Leonardo Finmeccanica ~~S.p.A. (Italy)~~, CIMA Research Foundation ~~- International Centre on environmental monitoring (Italy)~~, ENEA ~~– Italian national Agency for new technologies, energy and sustainable economic development (Italy)~~, Integrated Planning Policy and Regulation ~~Action Cluster -~~ European Innovation Partnership for Smart cities ~~(EU)~~		\| team = Leonardo Finmeccanica, CIMA Research Foundation, ENEA, Integrated Planning Policy and Regulation, European Innovation Partnership for Smart cities and Communities

	\| leader = Paolo Castiglieri		\| leader = Paolo Castiglieri
	<!-- [mailto:francesco.valdevies@leonardocompany.com Francesco Valdevies] -->		<!-- [mailto:francesco.valdevies@leonardocompany.com Francesco Valdevies] -->

Pinfold at 05:01, December 7, 2021

2021-12-07T05:01:09Z

← Older revision		Revision as of 05:01, December 7, 2021
Line 2:		Line 2:

	\| title = REAL TIME RESILIENCE - Resilience data treatment tools towards Real Time decisions making		\| title = REAL TIME RESILIENCE - Resilience data treatment tools towards Real Time decisions making
	\| team = Leonardo Finmeccanica S.p.A. (Italy); CIMA Research Foundation - International Centre on environmental monitoring (Italy); ENEA – Italian national Agency for new technologies, energy and sustainable economic development (Italy); Integrated Planning Policy and Regulation Action Cluster - European Innovation Partnership for Smart cities (EU)		\| team = Leonardo Finmeccanica S.p.A. (Italy), CIMA Research Foundation - International Centre on environmental monitoring (Italy), ENEA – Italian national Agency for new technologies, energy and sustainable economic development (Italy), Integrated Planning Policy and Regulation Action Cluster - European Innovation Partnership for Smart cities (EU)

	\| leader = Paolo Castiglieri		\| leader = Paolo Castiglieri

Pinfold at 16:26, November 11, 2021

2021-11-11T16:26:35Z

← Older revision		Revision as of 16:26, November 11, 2021
Line 7:		Line 7:
	<!-- [mailto:francesco.valdevies@leonardocompany.com Francesco Valdevies] -->		<!-- [mailto:francesco.valdevies@leonardocompany.com Francesco Valdevies] -->
	\| email = pcastiglieri@comune.genova.it		\| email = pcastiglieri@comune.genova.it
	\| image =		\| image = CIMA Research Foundation.jpeg
	\| imagecaption =		\| imagecaption = CIMA Research Foundation
	\| municipalities = Genoa (Italy)		\| municipalities = Genoa (Italy)
	<!-- , City of Florence (Italy), City of Bari (Italy) -->		<!-- , City of Florence (Italy), City of Bari (Italy) -->

Pinfold: 1 revision imported

2021-10-31T20:45:14Z

1 revision imported

← Older revision	Revision as of 20:45, October 31, 2021
(No difference)