Artificial Intelligence & Lighting

Henri JuslénCFI, Helvar Oy Ab

6.11.2018

THE FUTURE OF LIGHTING CONTROL

Technology enablers

AI intro

AI in building

AI examples

AI based services

Future & summary

AI TECHNOLOGY ENABLERS

• WirelessUI – mobile devices

APPs – Connectivity

MESH – Less configuration

• SensorsImproved technologies

New type of sensors

More sensor data

• DATAMore data available from silos

New type of data

Data is more ”available”

Maintenance Systems

Other systems(Parking,…)

Video Surveillance

Access control and intruder alarm

Electricity, Water, Gasmetering

Emergency and exitlighting

Lighting Control

HVAC

WHAT IS ARTIFICIAL INTELLIGENCE?

Technology that replicates

the human cognitive process:

Observe

Interpret

Evaluate

Decide

DATA SCIENCE

© Helvar 5

Lifecycle

Collect

Data

Process

and Clean

Data

Build

Statistical

Models

Test

Models

Evaluate

results

Form a

Hypothesis

Business Objective/Goal

or

Product/Service Research

Deploy Service/Product

or

Pilot Prototype

DATA SCIENCE

© Helvar6

Popular Tools and Frameworks

Databases/Big Data Languages Tools Cloud Services

LIGHTING & AI: THE DESIGN PHASE

Problems:• Multiple possible limitations on

design (time, expertise, …)

• Lack of information (how space is

used, about occupants, …)

AI Benefits:• No need to define the perfect

outcome in detail upfront

• AI-enabled lighting systems optimise

lighting conditions

• Time on the project reduced and

user satisfaction increased

LIGHTING & AI: INSTALLATION AND TAKING SYSTEM INTO USAGE PHASE

Problems:

• Similar challenges to designers

• Lack of expertise in installing an

advanced lighting system

AI Benefits:

• Less training and experience needed

• No need to program the outcome in

detail upfront

• Installers can save time and also

achieve better user satisfaction

LIGHTING & AI: DAILY USE

Problems:• Occupants may not be trained to use the

system properly

• Aspects of buildings may change over time

• Some parts of lighting may deteriorate or

fail

AI Benefits:• Easier user experience - less engagement

from occupants needed

• Lighting system can adapt to change of

building use

• Energy saving

• Predictive maintenance

AI – WHERE & BY WHOM

Lighting as a backbone or HVAC as a….

Embedded, local, cloud based…

Maintenance Systems

Other systems(Parking,…)

Video Surveillance

Access control and intruder alarm

Electricity, Water, Gasmetering

Emergency and exitlighting

Lighting Control

HVAC

EXAMPLE: EMBEDDED; HELVAR’S ACTIVEAHEAD

• Self-organizing wireless mesh network

• Sensors learn movement patterns

• Optimizes comfort and energy saving

• Learns optimal behaviour in 24 hours

• Adapts to changes in e.g. office layout

No configuration (still possible if wanted) No extra wiring

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Time-Series Forecasting

PIR Data

EXAMPLE: CLOUD BASED; PREDICTIVE LIGHTING

DecoderInput

Architecture of

Neural Network

Encoder Predictions

Compressed

Representation

Energy

Savings

Aggressive

36.6%

Conservative

30.8%

FUTURE “CHOICES”

Manual

General

Automatic General PersonalizedOpen Closed

Physical layer

Connectivity layer

Data and processing layer

Service layer

Platformized services (building as a service)

Light Assets and systems

People and building

SMART BUILDINGS – MORE SERVICES

SUMMARY

• AI brings significant business opportunities for building related industry

• AI-enabled systems can provide the best user experience through constant learning and improvement of performance

• Ease of design, installation and maintenance enables easier upgrade from “dumb” to intelligent systems

• Lighting as the conduit for how business-critical, value-generating data is gathered and processed

• AI can generate lifetime revenue and continuous service business

AI will change customers’ UX and lighting industry business models

THANK YOU