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How cultural heritage, cyber-physical spaces, and software engineering can work together: an interdisciplinary approach.

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How cultural heritage, cyber-physical spaces, and software engineering can work together: an interdisciplinary approach.

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This is a seminar provided to a PhD school on Cultural Heritage Conservation and Valorization.
The focus has been on the interdisciplinarity among cultural heritage, cyber-physical spaces, and software engineering.

This is a seminar provided to a PhD school on Cultural Heritage Conservation and Valorization.
The focus has been on the interdisciplinarity among cultural heritage, cyber-physical spaces, and software engineering.

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How cultural heritage, cyber-physical spaces, and software engineering can work together: an interdisciplinary approach.

  1. 1. Software Engineering of Cyber- Physical Spaces for Cultural Heritage applications @PhD School on Cultural Heritage Conservation and Valorization Prof. Henry Muccini, Ph.D CEO nExpecto S.r.l & Università degli Studi dell’Aquila www.henrymuccini.com #muccinihenry Slides available on my SlideShare account
  2. 2. 2 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization Welcome to L’Aquila
  3. 3. 3 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization You: Buildings Modeling and Engineering 3
  4. 4. 4 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization Me: Software Modeling and Engineering
  5. 5. 5 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization My Profile 23 years of research on Architecting Complex Systems 3 years of experience on a start up
  6. 6. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 6 The Cyber-Physical Space
  7. 7. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 7 Space
  8. 8. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 8 Physical Space
  9. 9. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 9 Digital (Physical) Space 2D, 3D Physical space with obstacles freely positioned with their own shape with attenuation coefficients
  10. 10. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 10
  11. 11. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 11 The Alan Turing building @UnivAQ
  12. 12. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 12 Cyber Physical Space CP Space = Physical Space augmented with Digital Components A cyber-physical space is a physical space embedded with intelligence and interfaced with humans in a natural way using vision, speech, gestures, and touch. [Tsigkanos+2016] [Tsigkanos+2016]«Adding Static and Dynamic Semantics to Building Information Models» Christos Tsigkanos, Timo Kehrer, Carlo Ghezzi, Liliana Pasquale, Bashar Nuseibeh. IEEE/ACM 2nd Int. Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS), 2016
  13. 13. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 13 Why the «Software» community cares about Cyber- Physical Spaces?
  14. 14. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 14 What «Software» has to do with «Physical Space»?
  15. 15. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 15
  16. 16. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 16 Cyber Physical Space: examples https://www.youtube.com/watch?v=tgULkozh32UOngoing work at Turku University, Finland Courtesy of Garabini, Catalno, Grioli, Bonomo
  17. 17. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 17 New families of applications The explicit specification of space-based information, enables the realization of new families of applications, such as: • Biometric recognition in indoor environments, • Indoor geo-localization of humans, and things, • proximity-based applications, • crowd monitoring, • urban security systems: evacuation handling of closed spaces in case of emergencies, • Obstacle modeling
  18. 18. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 18 Cyber Physical Space Cameras People Counters Mobile sensing devices RFID BLE Beacons
  19. 19. 19 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization Internet-connected things in Space Physical Space Cyber Physical Space
  20. 20. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 20 Engineering CPS applications Software Models Hardware Models Physical Space Models
  21. 21. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 21 A new opportunity to let «architects» talking to «Software Engineers»
  22. 22. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 22 Some examples of ongoing research in my lab
  23. 23. IoT-based Emergency Evacuation Systems Mahyar T. Moghaddam, Henry Muccini University of L’Aquila
  24. 24. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 24 Context: safe emergency evacuation in a closed space Context: safe emergency evacuation in a closed space
  25. 25. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 25 Static Evacuation Plan
  26. 26. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 26 Static Evacuation Plan
  27. 27. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 27 Limitations of the static emergency evacuation plan ▪ leading all pedestrians to the same route and making that area highly crowded; ▪ ignoring the individual movement behavior of people and special categories (e.g. elderly, children, disabled); ▪ lack of a comprehensive understanding for evacuation manager and operators by a real-time situational awareness ▪ ignoring abrupt congestion, obstacles or dangerous routes and areas;
  28. 28. 28 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization In brief Data consumer
  29. 29. 29 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization Flow conservation law Capacity Congestion model Congestion curve
  30. 30. 30 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization PEDSIM simulation
  31. 31. The Data Management and Analytics Experience within the Uffizi Gallery project Alessandro Attanasio, Maurizio Maravalle, Henry Muccini, Fabrizio Rossi, Gianluca Scatena, and Francesco Tarquini University of L’Aquila
  32. 32. 32 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization The Uffizi Galleries Goals: – to eliminate the waiting time to get in – to distribute the internal crowd – Multi-museum load balancing
  33. 33. 33 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization The Uffizi Gallery More than 2.200.000 visitors per year 1st most visited museum in Italy in 2019 Limited contemporary access for safety reasons
  34. 34. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 34
  35. 35. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 35 Physical Space
  36. 36. 36 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 3 Components Guaranteed timed access, satisfying all the constraints
  37. 37. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 37 Queues: before and after Before After
  38. 38. 38 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization again… Space, Software, Hardware, Data, Mathematics
  39. 39. Virtual + Real tour Angelo De Cocinis e Henry Muccini skipskip
  40. 40. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 40 The Alan Turing building @UnivAQ
  41. 41. The CAPS Approach to Data-Driven Context-Aware Architecting Mohammad Sharaf, Henry Muccini University of L’Aquila skipskip
  42. 42. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 42 Cyber Physical Space HW specification SW Architecture spec Environmental spec
  43. 43. 43 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 43 Software Architecture Model SAML HW Model HWML Physical Space Model SPML CAPS Modeling languages SoftwareSoftware HardwareHardware SpaceSpace
  44. 44. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 44 Simulating CAPS models Model to code transformation Model to code transformation
  45. 45. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 45 CUPCARBON SIMULATOR WSN and Internet of Things Simulator http://www.cupcarbon.com/
  46. 46. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 46 Results
  47. 47. 47 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization Concrete projects: NdR L’Aquila Goals: – Urban safety – Multi-site load balancing – Recommendation system
  48. 48. 48 ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization
  49. 49. ©Henry Muccini – Seminar @PhD School on Cultural Heritage Conservation and Valorization 49 Collaborators
  50. 50. 50 Henry Muccini, CEO and founder info@nexpecto.com

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