NEURONSmart Building

Digital Platform

Smart Building Revolution

Building Automation

(1980 – 2000)

IBMS Integrated Building

(2000 – 2018)AI & Data-Driven Smart

Building

(> 2018)

Building Data with Limited Use

Used Data

Dark Data

90%

Water Flow RateLarge Volume of

Building Data…

Chiller Plant Settings

Video Stream

Outdoor Climate

AHU Return Temperature

Chiller water Supply

Temperature

Outdoor Climate

Electricity Consumption

Occupancy Status

Wind Speed

Holiday Timetable

Water Pump Pressure

AHU CO2 Value

Coefficient of Performance

Challenges in Building Operation Digital Transformation

Challenges

How to maintain

system optimum

conditions

Operation Efficiency

subject to a lot of

human factors

How to proceed

Digital transformation

with traditional

building systemsHow to analyze and

predict the actual

demand for

dynamic scheduling

Analyzing large

volume of building

data with domain

knowledge

AI as a New Methodology for Building Energy Improvement and Recommissioning

Typical Building Energy

Performance

Operation with

commissioning services

ML-assisted operation

optimization

1 2 3 4 5 6 7 8

Ele

ctric

ity C

onsu

mpt

ion

Leve

l

Operation year

Chiller Plant Consumption Pattern Comparison

Typical Recommissioning ML-optimized

Neuron Vision - Empower Smart Building with a Digital “Brain”

Respiratory System – HVAC

System

Bone & Skin – Structure &

Architecture

Blood Vessel – Pipes

Lung – Air Handling Unit

Brain – Neuron Platform

Circulatory System – Drainage System

Energy Supply – Electricity System

Energy

Optimization

Insight Analytic

AI-assisted

Operation

Abnormal Detection

Predicted Maintenance

Digital Twins

Neuron Architecture

Building System

Real Time Data

IoT Sensors

Data

BIM / GIS

Spatial Data

Video Stream

Machine Learning modelling

Real-time analysis

Archive analysis

Domain expertise

Customized Insights

Data Consolidation

Analytics Capability

Building feedback

control

Operation insights

Digital twinEnergy

Consumption

Building

Operation

Crowd

Management

Traffic

Management

Data

visualization

Neuron Modules

BIM Integration Asset Management Predictive Maintenance GIS Integration

Heatmap Analysis

AHU Air Side Optimization

Energy Management AI Chiller Plant Optimization AI Video Analytics

Sustainability Benchmarking Chatbot

Neuron Energy - How to achieve?

Comfortable indoor temperature

Fresh air optimization

Higher coefficient of performance

Intelligent lift operation

Abnormal Data Pattern Analysis

Automatic inspection scheduling

Video analytics for crowd management

Optimized chiller operation strategy

Preventive maintenance forecast

Energy demand prediction

Project Example - One Taikoo Place

One Taikoo Place – the first AI-enabled smart building in Hong Kong

Project Example – Water Cube

Transform the 2008 Beijing Olympics iconic symbol with smart FM operations.

Feature

“The Neuron platform brings a new dimension to

asset management, operations and maintenance by

creating a digital twin for the building.”

Seamless Asset Management Through Centralised Data Monitoring

Real-time building parameters

Corresponding equipment documents

QR code for device searching

FeatureBIM Integration for Building Life Cycle Asset Management

“3D BIM is integrated with real-time data captured

from building management systems and HVAC

systems using

open protocols including BACnet and Modbus.”

Visualized statistics

Interactive & responsive dashboards

Various model display effects

FeatureMachine Learning for Chiller Plant Optimisation

“Through Analysing historical data, ML models

uncover hidden patterns and give estimation on

energy usage for better planning in advance.”

Chiller Plant performance evaluation

Free Cooling Prediction

Operation strategy suggestion

Energy Demand Forecasting

Feature

“Based on the footfall data obtained from AI

analytics and dynamic environment data,

HVAC system air side setting can be

optimized for consumption reduction.”

Supported by real-time occupancy data

AHU parameters monitoring & feedback

Optimised setting suggestion

Machine Learning for Air Side AHU Analysis

Feature

“Mobile APP is also provided to facilitate

remote asset management operation and

environment monitoring with flexibility and

mobility.”

Corresponding Mobile Application & Chatbot

QR code for on-site equipment searching

Chatbot for data enquiry

Real-time building environment overview

Feature

“Through periodically checking an existing

building’s performance, it’s able to identify

operational improvements to save energy and

improve indoor environment.”

Energy Saving Opportunities Enabled by Retro-commissioning

Visualized display portal for performance monitoring

Big data analytics uncovers hidden pattern

ML-enabled self-learning capability

Feature

“The current signal of critical equipment is

measured based on a non-intrusive

approach to enable insights into utilization

and condition of the asset.”

Lift Monitoring with Predictive Maintenance

3rd Party Power

AnalyzerCurrent

Transformer Vibration

Sensors

Without interference of the existing lift system

Predictive maintenance algorithm and equipment

healthiness status are analyzed through ML algorithm

We shape a better world