CLEEN's MMEA program organised an international seminar on cleaner air - Outdoor and indoor air quality together with Zhejiang University and assistant organizer Insigma group. This is one of the keynote presentations in the seminar. More info in www.mmea.fi The cleantech field is expanding rapidly and Finnish companies are committed to working for a better environment in the fields of energy efficiency, air quality and monitoring. The world-class Cleantech know-how from Finland and the cooperation with Chinese partners and the results were highlighted in the MMEA seminar. Some of the leading Finnish cleantech companies together with Finnish and Chinese research institutions were present at the event. The seminars focused on cooperation between Finland and China concerning indoor and outdoor air quality and solutions to make them better.

1. MMEA program – from sensors to services
从传感器到服务
Hangzhou, 15th May 2015
Tero Eklin, Finnish Environment Institute/CLEEN

2. DEMAND FOR SUSTAINABLE
”green footprint” SOLUTIONS
BIG DATA
New enabling technologies
Nano, sensor networks, …
Business opportunities for everyone

3. • 5 year SHOK program (May 2010 – Sep 2015), TEKES
funded
• Planned total budget 54.5 M€, annually 9 -12 M€
• 40 partners
– 13 universities / research institutes
– 12 large companies
– 15 SME’s (SMEs budget 25 % of the total research
volume)
MMEA quick facts

4. In the end, It’s all
about decision
making.
Can we trust i?

5. Big data – huge
opportunities
Can we handle it?

6. 仪器、测量系统
Data
Integration
End-user
Services
传感器、组件
End-user
Services
环境效率服务
环境效率工具
观测网络、数据管理
数据融合、建模
环境 生产 消费者
环境
条件
回收
产品
能源
再利用
运输
物流
原材料
能源
燃料
•向空气、水、
土壤中排放
•浪费
环境评估 MMEA
客户 反馈、改
进
环境信息
市场测量 信息 决策支持

7. Remote Sensing
- Radar
- Lidar
- Airborne
WP3
In Situ Sensing
WP4
Data
Management
- Data Sources
- Processing
- Testbed
WP1
EE Management/
Decision Support
Tools
WP2
EE Services
Concepts
WP5 Mining
Indoor
Air
Quality
Ambient
Air
Quality
Road
Maintenanc
e
Wind
Farms
... more
to come
...
...
Sensors &
instruments for air
quality, water
quality, fine
particles
HF Radar
Humidity & Wind LIDAR
Airborne observations
Remote sensing
algorithms
Products & services
for Data Collection,
QC, Data Fusion,
Data Delivery
Services for
Environmental
Efficiency
Desicion Support &
EE Management
Systems

8. WP3 Remote Sensing
- Radar
- Lidar
- Airborne
WP4
In Situ Sensing
WP1 Data Management
- Data Sources
- Processing
- Testbed
WP2 EE Management/
Decision Support
Tools
EE Services
Concepts
WP5
In-situ emission sensors
In-situ ambient air quality sensors
Air Quality & Atmospheric Boundary Layer
sensing with Radar, Lidar & Airborne
Instruments
Weather observations & forecasts
Air quality observations & forecasts
Emissions (industry, traffic) observations &
forecasts
Decision Support Algorithms
Citizen Warning Systems
Urban Air Quality Management Service
DSS’s for industries, traffic, etc.

9. MMEA Testbed
Public Web pages
Commercial
applications
Data sources:
existing measurement
networks & databases
MMEA pilot
applications
FMI meteorology SYKE hydrology
Share/sell/buy
environmental
information
System X
Interoperable environmental
service ecosystem
InterfaceInterfaceInterface
Interfaces to be
developed in the
program
MMEA
CLOUD
Testbed.mmea.fi Marketplace
Applications under
development

10. MMEA测试平台
公开网页
商业应用
数据来源：
既有的测量网络和数
据库
MMEA试验性
应用
FMI气象学 SYKE水文学
共享、销售、购
买环境信息
X系统
具有互操作性的环境服务生态系统
界面界面界面
项目中所开发的界面
EnviTori 开放式测试平台 市场
开发中的应用
测量、监控与环境评估

11. Example: Air quality research platform

12. MMEA success cases
• 1.Outdoor air (fusion)
• 2.Indoor air
• 3.Outdoor + indoor
• 4.Road management, airport
• 5.Wind Park
• 6.Algae warning/notification
• 7.Agricultural application - Crop
• 8.Dataoperator

13. Case: Indoor air & energy
efficiency service

14. Pilot architecture

15. IEQ Index

16. End user 3D applications

17. Case: Outdoor air monitoring
Shenzhen, Beijing
• Develops and explores new environmental technology,
social benefits and business opportunities in close
collaboration with the Chinese partners.
• Utilizes efficiently new measurement technology, modelling
and environmental efficiency analysis expertise of MMEA
consortium

18. Internet
Connect
ion
EO Server
Air Quality site
Air Quality site
Air Quality site
Analysis,
Research
Officier
Internet
Connection
Mobile
Connection
Novel PN/PM2.5
IoT sensors

20. Example: embedded data fusion
algorithm
• Fusion model
algorithm for
prediction of air
pollution
• Visualize the
situation and
changes
Fused hourly concentration of NO2 [µg/m3] at Helsinki Metropolitan Area.
Wind vectors are illustrated with red arrows.

21. Case: indoor + outdoor

22. Case: Road management
decision support system

23. © Vaisala Oyj
Review
observations
and forecasts
Plan
maintenance
activities
Communicate
plans
Monitor
execution
Review
performance

24. Case: airport
decision support
system;
- Prevent ice
formation
- Detection of birds

25. Case: Wind park &
smart grid decision
support system

26. Case: Algae bloom

27. Case:Crop

28. • Information intensive
• Weather critical
• Multiple spatial phenomena
• Farmer’s situational awareness
• Most of the work carried out outdoors
Crop production

29. The dataoperator
• New kind of service
provider?
Indoor
Outdoor
Indoor & Outdoor
Road, airports
Wind park & grid
Algae
Crop
Application X…
Dataoperator

30. Established Sino-Finnish public-
private partnership
Companies
Universities
Institutes
Companies
Universities
Institutes
• Insigma
• Green China Lab
• Geostar
• ZTE Shenzhen
• University of Shenzhen
• Chinese Academy of Environmental
Sciences CRAES (Beijing)
• Renmin University (Beijing)
• Chinese Academy of Building
Research, CABR (Beijing)
• National Institute of Metrology, NIM
(Beijing)
• Nankai University, Tianjin (Evaluation
panel member)
ChinaFinland
Research Pilots
in
Shenzhen/Beijing

31. Materials in
chinese
available
www.mmea.fi

32. Further information: Tero Eklin tero.eklin@cleen.fi
Thank you for your interest
谢谢