Connected infrastructures to pilot networks and provide public services
Open data and intelligent, interconnected infrastructures that will support public services (lighting, buildings, transportation, energy, water and waste management, public health, environment, education, etc.) is needed for Smart Cities to operate properly.
Integration of the data derived from “Construction 4.0”, from ”Property as a Service”, and Smart Infrastructures will feed into the digital twins of “Smart Territories”.
Benefits for city and territorial actors
Pillars of the digital transition of the territories, Smart Infrastructures involve critical security and operational assurance challenges.
They are the core of the public service missions of local and regional administrations and drive the competitiveness of the companies that operate the major networks. They contribute to environmental efficiency, sustainable development, better quality of life and enhance city experiences.
Objectives for local and regional actors
Greater efficiency of the infrastructures for an optimized environmental impact
Piloting and maintenance of infrastructures
Partial mutualization of networks
Optimization of investments and operating costs
Continuity of public services
Local and regional attractiveness
Objectives for users
Continuum of services in mobility
Homogeneity of interfaces
Facilitated access to public services via platforms
A new experience of urban space and public services
A local and regional link
Piloting of infrastructures and equipment using digital twins, predictive and preventive maintenance of facilities, self-learning systems, systematic management of the urban space, integration of RPPs into local and regional models, new uses and services for the citizens, etc.: there are many applications.
These new, interconnected infrastructures must meet the objectives of public services, as well as the productivity and security objectives of private operators.
Technological levers
Tools for modeling and simulation, data and service platform inter-operability, cyber security, Blockchain, IA, Cloud and Edge computing, Data center, Smart Grid, geolocation tools, wireless networks, etc.
Socio-economic levers
Mutualized financial models, Digital Signal Processors, public/private partnerships for data operations.
Technological constraints
Lack of inter-operability of programs, technologies still maturing, reliability and quality of accessible data, cyber security, capacity for change of existing infrastructures.
Socio-economic constraints
Responsibility and governance of data, financing investments, privacy protection.
Local and regional authorities, actors in construction, the environment and digital operations, engineering companies, services and infrastructure operators (telecom, energy, transportation, etc.), investors and insurers, are all involved actors.