SMART CITIES AND INDUSTRY 4.0 RESEARCH AT UGENT - WAVES. Prof. Dr. ir. Dick Botteldooren

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1 SMART CITIES AND INDUSTRY 4.0 RESEARCH AT UGENT - WAVES Prof. Dr. ir. Dick Botteldooren

2 DEPARTMENT INFORMATION TECHNOLOGY RESEARCH GROUP WAVES RESEARCH GROUP WAVES Prof. Dick Botteldooren Prof. Luc Martens Prof. Wout Joseph Prof. Timothy Van Renterghem Prof. Sarah Verhulst Prof. Bert De Coensel Prof. Emmeric Tanghe Prof. David Plets Prof. Paul Devos UGent INTEC WAVES Photonics imec IDlab

3 WHAT WE CALL SMART Well informed decision makers Co-creation supported by knowledge Monitoring and immediate feedback New opportunities by twinning real and virtual worlds 3

4 Urban sound could accentuate lively commercial neighborhoods, historical and religious places, and restorative urban green 4

5 SMART ROAD TRAFFIC NOISE MANAGEMENT Coupling of traffic micro-simulation (Paramics, Aimsun, ) to emission model and propagation / diffusion Coupling of ab-initio mapping with sensor networks Fining/rewarding high polluters Following a single loud car in the network Paramics model for soundscape design of new urban development

6 GREENING AND NOISE: METHODOLOGY Numerical simulation (FDTD, PE, CFD) Scale modeling Field measurements single-leaf response to sound street reverberation measurement car acoustic scale model of an urban façade used in street canyon propagation experiments simulation of sound propagation through periodically planted rows of trees

7 NATURAL MEANS FOR NOISE CONTROL Perceived noise reduction exceeding db(a) Added benefits: CO2, bio-diversity, 5-15 dba 6-15 dba 3 dba 5 dba ref smooth + better than screen in wind 5 dba downwind

8 URBAN SOUNDSCAPE PERCEPTION / DESIGN The sonic environment as it is perceived and understood by the individual or by society e.g. the tranquil urban space Phenomenological models Machine listening Human mimicking attention models Sound recognition Deep learning ANN Experimental psychoacoustics Questionnaire surveys Listening room experiments, e.g. wind turbines, high speed trains EEG and biomonitoring Virtual Reality for quality of experience public space

9 VIRTUAL REALITY FOR URBAN DESIGN The soundscapes of the world project - Core Sound TetraMic with Tascam DR-680 Mk II recorder. - GoPro Omni 360 degree camera. - Head Acoustics HSU III.2 with SQobold recorder. Recording places are steered by local population via online survey: where is the most calming/exciting/ place in your city? Current database 75+ public open spaces from Boston, Montreal, Berlin, Hong Kong, Tongji, New York, Chicago, Antwerp Database of labelled and categorized examples 9

10 VIRTUAL REALITY FOR URBAN DESIGN The soundscapes of the world project disruptive 40 calming exciting

11 DIGITAL INNOVATION OF THE PUBLIC OPEN SPACE The C3places project ICT for co-creating the public open space Enhancing POS experience through ICT 11

12 INTERNET OF SOUND 7 embedded in spin off company

13 INTERNET OF SOUND OBSERVATORIES Mobile sensing Interpolation between fixed sound observatories Paris (France) 25 fixed 5 mobile Goal : soundscape along routes

14 INTERNET OF SOUND OBSERVATORIES Noise measurement as a proxy for traffic related air pollution (BC&UFP) Gent (Belgium) Bangalore (India) Goal : create a model for predicting personal exposure to air pollution

15 INTERNET OF SOUND OBSERVATORIES Sound as a proxy for pavement quality: The mobisense project Cars equipped with sensors Big data analytics 15

16 WIRELESS COMMUNICATIONS Characterization of physical properties of wireless networks Exposure assessment Propagation of wireless systems Localization Green ICT Green wireless access networks Cost-aware Industrial Energy Modelling & Simulation Medical applications QoE vs. QoS Wireless Body Area Networks (WBAN) Research and development of test solutions for standards of wireless networks

17 EXPOSURE ASSESSMENT IN CITIES Development of measurement procedures (complex modulation schemes) e.g., LTE or 4G in Stockholm

18 EXPOSURE ASSESSMENT Numerical modelling of fields FDTD: SEMCAD X FEKO: MoM / FEM Statistical tool: SME tool Realistic human body models E inc( j i, ) Einc (, ) E inc ( j, i 1)

19 EXPOSURE HEAT MAP OF CITY Heat map of RF-EMF exposure 600 broadband measurements Validation 50 independent measurements Hotspot Correlation high Pearson correlation coefficient 0.7 Specificity 0.96 Signal contributions Errors low Average relative error below 2 db (factor 1.3) Conclusions Efficient hotspot localization and characterization Accurate and easily understandable heat map Model can also be used as input or validation.

20 WIRELESS CONNECTIVITY IN INDUSTRY (4.0) Why wireless in industry?... More flexible than wired (plant reconfigurations, evolving traffic requirements,...) Offers mobility Has a lower installation cost Is more easily extensible Facilitates temporary connections Low-power IoT tracking 20

21 ROBUST WIRELESS NETWORK PLANNING Site survey Measurement-based coverage design Time-consuming, expensive No knowledge of intra-network interference 21

22 ROBUST WIRELESS NETWORK PLANNING Site survey Alternative: automated network planning algorithm Short measurement campaign Propagation model for environment Network planning algorithm 92 access points to guarantee a full 54 Mbps coverage 22

23 PROJECT PROPOSALS sensing (IoT) virtual reality GIS lifelong digital twin 23

24 PROJECT PROPOSALS In preparation Equal-life : Exposome & mental health (H2020) Envitoll : Low emission zone portals (H2020) 24

25 Ghent, April 3-5, 2019 URBAN SOUND SYMPOSIUM 25