bsi smart city standards and mapping . · pdf fileassessment, and navigation to key bsi...

Copyright © 2012 BSI. All rights reserved.

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BSI Smart City Standards and Mapping Research.

Saviour Alfino, Smart Cities Standards Strategy, BSI

14th April 2016



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BSI’s Approach to Smart City Standards

Core Principles underpinning approach

Overview of BSI’s Smart City Portfolio of best practise

Cities Standards Institute

Smart City Standards Mapping Research

Objective and audience

Methodology overview

Source of standards – Perinorm Database

Model requirements and 3 complementary views

Keywords overview and main queries

Some results and way forward

19/04/2016

Presentation Roadmap


3Copyright © 2012 BSI. All rights reserved. 3Copyright © 2012 BSI. All rights reserved.

BSI Approachto Smart City

Standards

19/04/2016


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The principles that underpin our approach

City- needs led portfolio approach A portfolio of materials addressing barriers to

implementing smart city solutions

promoting uptake at scale

Tiers of materials Leadership Guides Management Frameworks Technical Interoperability Standards

Relevance at all levels Leadership, to set direction and steer smart

integrated improvements Mid & Small sized cities, that are often

under-capacity and have capability issues

Focus on Production & Dissemination

BSI Focus


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PAS 180 Terminology

PD 8101 Smart city Planning

PAS 182 Smart city Data Concept Model

BSI Smart City Portfolio

PD 8100 Smart city Overview

PAS 183 Decision Framework

for Data Sharing

Leadership engagement guide, providing useful assessment, and navigation to key BSI guidance

Best practise for delivering smart development and infrastructure programmes

Basic lexicon of terms

PAS 181 Smart city Framework

Overarching smart city framework addressing key issues in delivering smart prgrammes PAS 184 Options & Good Practices

for Commissioning new projects

Standards Mapping

Mapping of international standards to smart city model

Ontology that sits above data sets to make city data more discoverable

Decision making framework addressing wider data-sharing issues

Leadership guide providing insight on alternative business models and use-cases to support these

SCLP (Smart City Leadership Programme)

Intensive 2-3d programme supports pan-city leadership to refine vision; develop roadmap; identify leadership model

Published Planned/Under development


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PD 8101 – smart city planning guidelines

PAS 180 –Vocabulary

PAS 182 – Smart city concept model

Business Case, Models & Funding

City performance assessment method

Collaborative Procurement

Data Privacy & Security Open Data CoP

Resilience

BIM Alignment

Smart City Leadership Programme

Smart Cities Standards Mapping

PAS181- Decision-making framework

KEY:

Level 1: Leadership Guide

Level 2: Mgmt Framework

Level 3: Technical Std

Smart city development

Data-sharing framework

PD8100 – Smart City Overview

Vision, Goals, Strategy

Capability Assessment

Performance Measurement

Enabling Capabilities

Service Transformation

Smart City Roadmap

Use Cases (Street Lighting, Parking…)

Citizen Engagement

DELIVERED

City Services Framework

FUTURE


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Consortium of Partners

Cities, businesses, government and other organisations

Decide how new and existing standards should be developed and implemented

Objectives

Builds on existing foundations

Create right conditions for future cities market growth

Addressing key market barriers

Standards uptake through urban innovation projects

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Cities Standards Institute


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SMEs

Others

CITIES STANDARDS INSTITUTE

The Board

Steering Group

Companies New Standards

Public Review Panel

BSI Development Process

Cities

SME WG Cities WG

BSI, FCC, BIS,

DCMS

Uptake of existing knowledge

Engagement with other initiatives

EIP

ISO/CEN/ITU-T

Other fora/alliances



Smart CityStandards MappingResearch

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Smart city standards mapping project – Core objective

o Objective:

overview of existing standards across all standards bodies – not a list but a “map” of the landscape using a data flow model as inspiration for the search keywords

o Audience:

local government, industry and SDOs who are looking to develop necessary standards to help remove market barriers


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Smart city standards mapping project - Methodology

1. Study and contrast a number of existing models and create best possible model for surveying existing standards

2. Choose keywords based on 3 view model -used to search standards databases

3. Keywords based on ICS (International Classification of Standards)

4. Combination of relevant queries constructed


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Smart city standards mapping project – Methodology cont.

5. Filter applied to queriesto remove irrelevant results

6. Identify missing topics and refine results (iterative)

7. Perform separate searches for standards not covered by Perinorm, e.g. private SDOs

8. Verified with stakeholder consultations


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Smart city standards mapping project - Output

o Output - list of standards mapped on data flow model and classified:

Technical:“What” needs to be done to implement

Process:“How” which are the actions and steps to be taken to implement

Strategic:“Why” which are the planning and management guidance


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Core Standards Database - Perinorm

The ‘Perinorm’ database is used to perform majority of queries

It is the world’s leading bibliographic database of national, European and international standards

More than 200 standards publishing organizations in 23 countries, with a total of more than 1,400,000 records’ and only current standards are included


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Countries and NSBs covered by Perinorm

Leading European standardization organizations:

Austria (ON) Belgium (NBN) Czech Republic (CSN) Denmark (DS) France (AFNOR, OJ) Germany (DIN) Italy (UNI) Lithuania (LSB) Netherlands (NEN) Norway (AS) Poland (PKN) Russia (GOST) Slovakia (UNMS) Spain (AENOR) Sweden (SIS) Switzerland (SNV) Turkey (TS) UK (BSI)

European and international standardization organizations:

CEN (European Committee for Standardization) CENELEC (European Committee for Electrotechnical Standardization) ETSI (European Telecommunications Standards Institute) IEC (International Electrotechnical Commission) ISO(International Organisation for Standardization) ITU (International Telecommunication Union)


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Countries and NSBs covered by Perinorm

US-based standardization organizations:

Non-European or American National Standards Bodies:

Canada (SCC) Japan (JSA, JIS) Jordan (JISM) South Africa (SABS)

ANSI (American National Standards Institute)

API (American Petroleum Institute)

ASME (American Society of Mechanical Engineers)

ASTM (American Society for Testing and Materials)

EIA (Electronic Industries Alliance)

IEEE (Institute of Electrical and Electronics Engineers)

NEMA (National Electrical Manufacturers Association)

NFPA (National Fire Protection Association)

SAE (Society of Automotive Engineers)

UL (Underwriters Laboratories)


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Mapping smart city standards – model requirements

Model should:

consider the fact that there is no one-size-fits-all smart city solution

be useful to support a mapping exercise and not meant as a technical design for a smart city solution or platform

enable identification of gaps in existing standard initiatives

make clear how data and information flow through the city and between elements in the city.


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Mapping smart city standards:Model’s technical view

how sub-systems interact

supported by ICT which enables interaction between sub-systems

city divided in built environment, infrastructurebased sectors and service based sectors

make clear data and information flow across city and between elements in the city


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Mapping smart city standards: Socio-technical view of data flow

Technical Challenges: Social Issues: data created in social &

physical systems

collected, transmitted, stored and shared

analysed, displayed and used

different actors at each stage Actions generating new data Owners of sensors Maintainer of web platforms Owners of data

social and technical challenges


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Mapping smart city standards: stakeholder consultation & social view

strategic and process standards gaps

new model view proposed to cover city actors, their organization, as well as smart city objectives

social interaction between stakeholders is emphasised over technical data flow

model showing urban areas

final keyword search included this view


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Keywords and ICS – International Classification of Standards

• For identification of keywords, the ICS structure and hierarchy is used:

• 40 fields at level 1

• Further detailed in 392 groups at level 2

• Finally 909 sub-groups at level 3

• Standards may be allocated to more than one category

• In this study, interface between city systems is of particular interest

• Standards that fall in more than one field might indicate some form of interaction between fields

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Supporting/Enabling fields

Smart Solution Applications

Smart Solution Applications


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Mapping smart city standards – final 7 searches categories

o Fields supporting smart cities (Set A) ICT, Electronics, Software etc..

o Additional ICT keywords (to complement Set A) Not in ICS

o Smart city application areas (Set B) Sector/domain focus

o Smart city topics (Set C) Not in ICS and not part of “supporting”

o City organizational terms (Set D) Actors, Structure etc…

o Smart city objectives (Set E) Sustainable, Resilient, Job creation etc…

o Project management and software management (Set F)


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The 5 Main Queries – Combining searches to gain insight

1. (Felds supporting smart cities (Set A) OR additional ICT keywords) ANDSmart city application areas (Set B)

Rationale: Smart city supporting domain or ICT keyword (e.g. sensors or ‘smart’ ) as well as an application domain (e.g. transport or healthcare). The results should provide standards on how the supporting fields can be used in the various areas, with a focus on integration and interfaces.

2. Smart city topics (Set C) – Considered technical topics

Rationale: Specific topics which may be relevant to the smart city (e.g. ‘smart grid’) - keywords not directly linked to ICS classifications. Standards returned directly applicable in those areas.


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Main Queries - Continued

3. City organizational terms (Set D) AND Smart city objectives (Set E) AND Smart city application areas (Set B)

Rationale: For each smart city application domains, standards related to cities’ organization and decision-making processes as well as objectives of smart cities. Results yields strategic issues with focus on each domains.

4. City organizational terms (Set D) AND Project management keywords (Set F) AND Smart city application areas (Set B)

Rationale: Find standards about project management which are relevant to stakeholder and decision makers in the city for each application area.

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Main Queries - Continued

5. ICT keywords AND (City organizational terms (Set D) AND Smart city objectives (Set E))

Rationale: Yields standards where enabling type issues such as information exchange, automation and control and real-time are applicable to cities or any objectives for smart cities. Yields strategic type standards.

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Results of keywords searches Set B + (Set A or additional ICT keywords)

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Enabling type standards


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Results of keywords searches Set B + (Set A or additional ICT keywords) Cont…19/04/2016

Perhaps an opportunity?


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Results of keyword searches Set C – Smart City topics

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City organizational terms (Set D) AND Smart city objectives (Set E) ANDSmart city application areas (Set B)

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Perhaps an opportunity?


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ICT keywords AND (City organizational terms (Set D) AND Smart city objectives (Set E))

Wide range of topics – mostly strategic and process related:

• A model for classification of quality approaches in e-learning

• Biometrics for public sector applications

• Business interoperability interfaces for public procurement

• Discovery of and access to e-Government resources

• E-Tendering Process

• EU e-Government metadata framework

• Open data communication in building automation, controls and building management

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Mapping smart city standards

Overview of existing standards across all standards bodies

www.bsigroup.com/smartcitymapping

http://www.bsigroup.com/smartcitymapping


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What’s next? The “making accessible” stage19/04/2016

Standards categorized andtagged

Different models specific to problem domain

Queries through GUI


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Saviour AlfinoProject Manager – Smart Cities Standards Strategy

[email protected]

www.bsigroup.com/smartcities



DETAILOF BSI

STANDARDS

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PAS 180 Smart cities terminology

Open collation of 172 terms used across city services

Smart city systems – 75 Environment - 6

Public & Private service delivery models – 27

Finance and economy - 5

Resource management processes – 6

Mobility - 6

Technology andinfrastructure – 31

Community, education and skills - 6

Governance – 7 Lifestyle - 3


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PD8100 - Route to a smarter city


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PD 8101 Role of planning and development

Smart city foundation: development and infrastructure projects ideal due to scale to test/trial o Smart city products and serviceso Alternative business models and processes

Recommendations to: • City leadership• Planning policy makers • Planning case officers and Regeneration officers• Developers and their partners


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•Create and test new transformational business models through integration of city systems and access to data

5 Key areas for integrated approach

08/12/2015

•Agreements enable key city agencies to work together to deliver citizen-centric integrated services enabled by smart technology

Partnerships/Consortia

•Data handling agreements and/or city wide open platform to allow information to be used to support operations and long-term decision making

Data Exploitation

•Get insight on people behaviour, asset performance and environment for neighbourhoods designed to support collaboration and innovation

Digital Modelling

•Plan and design early on for appropriate digital and communications infrastructure that supports new services and enable real-time data capture

Enabling Infrastructure

New Business Models


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Planning and Development

Guidance at each stage of the local authority planning and development process:o Local Development Frameworko Detailed Planningo Development Management

Guidance outside this process:o Major infrastructure projectso Streetworks and improvementso Refurbishment programmes


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PAS 181 - Transforming the city’s operating model


44Source: PAS 181


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PAS 182 Model for data interoperability

Overarching framework of concepts and relationships

Describes data from any sector

Reduces barrier to sector interoperability

Focuses on the semantics of data from many sectors

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Example:

Healthcare: Patient & Care Plan

Education: Pupil & Curriculum

Transport: Passenger & Travel Plan

o Sectors have own models and terminologies

o Data difficult be discovered by other sectors


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What’s in the scope?

Does not cover following barriers to interoperability

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CompliancePrivacySecurityValidity

IntegrityAvailabilityQualityProvenance

Advocates shift to city-wide data-ecosystem

To unlock potential of secondary use of data-setsGain insights in citizens’ quality of life and behavioursTo improve services and innovate


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Mapping a dataset to the SCCM19/04/2016

Entity-relationships (Subject, Relation, Object)22 Prime concepts 5 Group conceptsModel represented in

RDF/XML format


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Planning application data mapped to SCCM

Data can be split into entities and published linked to model

Can be combined and queried with data about other topics: What other CASEs are being considered

in the area?

What other SERVICEs does that local authority provide?

What other DECISIONs have been made?

19/04/2016


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Saviour AlfinoProject Manager – Smart Cities Standards Strategy

[email protected]

www.bsigroup.com/smartcities

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