Standards Development

Scope

This document provides a brief overview of City Information Modeling, explains its importance in supporting Smart Cities, specifies the normative references, terms and definitions, the development of City Information Modeling, and the benefits of City Information Modeling. It then focuses in detail on application scenarios, describing the use cases as well as its analysis, specifically including electrotechnical aspects.

Purpose

1. Introduction
The system of Smart Cities is complicated, and it is not easy to understand the whole picture. Cities are conceptualized as complex adaptive systems, which are comprised components that belong either to
physical or to social spheres (Desouza & Flanery, 2013). The IEC Smart Cities Systems Committee was set up to help the IEC and its sister International Standards Development Organisations to take a systems
approach to identifying and scoping out the requirements of Smart City Standards.

1. Introduction
The system of Smart Cities is complicated, and it is not easy to understand the whole picture. Cities are conceptualized as complex adaptive systems, which are comprised components that belong either to
physical or to social spheres (Desouza & Flanery, 2013). The IEC Smart Cities Systems Committee was set up to help the IEC and its sister International Standards Development Organisations to take a systems
approach to identifying and scoping out the requirements of Smart City Standards.

In 2017, IEC/SyC Smart Cities Working Group 2 (WG2) conducted a City Needs Survey to investigate the most important city needs when developing Smart Cities. This survey found that different stakeholders have diverse needs, and that their needs should be considered in one smart city system.

According to the City Needs Survey in 2017, city information is one of the important arenas. In the domain of
information and technology, big data (41.9%), city operating system (19.4%), apps (14.0%) and information (6.5%) were the main needs. City Information Modeling is one of the solutions to manage the different types
of information for Smart Cities.

The draft definition of City Information Modeling on which this NWIP is based is:

the development of digital representations of a city made up of large quantities of geo-located data, often including real time data, which enable better city planning and management

Note 1: The geo-located data is provided using an integration of Building Information Modeling (BIM) and Geographic Information Systems (GIS).

Note 2: The real-time data is obtained through extensive use of IoT sensors within the city.

Note 3: City Information Modeling involves handling large amounts of big data, which is generally brought together using cloud computing.

Note4: Artificial intelligence is often used to generate and evaluate different scenarios using City Information Modeling data to help manage the city better.

It is difficult to achieve inter-city interoperability and international exchange and collaboration without unified City Information Modeling standards. There are already working groups in areas that underpin City
Information Modeling, such as ISO/IEC JTC1 Information technology, ISO/TC 211 Geographic information/Geomatics (GIS), ISO/TC 59/SC 13 Organization and digitization of information about buildings
and civil engineering works, including building information modelling (BIM), ISO/IEC JTC 1/SC 41 Internet of Things (IoT), ISO/IEC JTC 1/SC 42/WG 2 Big Data, ISO/IEC JTC 1/SC 38 Cloud Computing and Distributed Platforms, ISO/IEC JTC 1/SC 42 Artificial Intelligence (AI) and related technologies. However, there is no existing group that covers City Information Modeling as a whole, and this is a big gap in global standards....

NOTE: Further text provided by the CN NC on the "Purpose and justification" section is available in the
uploaded form of the NEW WORK ITEM PROPOSAL (NP)