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Smart Water Management and Assisted Living Solutions for Smart Cities, powered by NB-IoT and Artificial Intelligence, WINGS ICT Solutions


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Presentation from hub:raum IoT Academy Athens - November 23rd, 2017

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Smart Water Management and Assisted Living Solutions for Smart Cities, powered by NB-IoT and Artificial Intelligence, WINGS ICT Solutions

  1. 1. WINGS ICT Solutions Smart water management and assisted living solutions for Smart Cities, powered by NB-IoT and Artificial Intelligence WINGS ICT Solutions Ltd. WINGS © 2017
  2. 2. Outline  About WINGS  Smart Water Management  Assisted Living Solutions for Smart Cities
  3. 3. About WINGS (scope, team)
  4. 4. About WINGS: Scope WINGS is a dynamic SME which focuses on the development of software for various vertical sectors (namely, water, energy, smart cities, food safety, health, transportation, finance) through advanced wireless, cloud/IoT, big data and security technologies.
  5. 5. About WINGS: Team 5 Technical Development Strategists 20 Solution Architects/Engineers 60 Software developers
  6. 6. Smart Water Management
  7. 7. Opportunity  Water presents opportunity, with business and social value:  Global water control and monitoring solutions market worth $22.8 billion in 2017 with a projection for $30.1 billion in 2021 [Source: GWI]  Value in the management of potable, rain, waste water  Social value: public health, for all human activity  Vital for econony: energy, manufacturing, food, agriculture etc.
  8. 8. WINGS and Water Pilots Paris and Almada PROTEUS Sensor, calibrated and exploited by WINGS software, which produces insights, foresights, and suggested actions Proteus@Sense-City drink water loop consists in 46m of above- ground PVC pipes connected in closed loop to a 1m3 water tank Above ground sensor deployment in Almada
  9. 9. CATARACT  WINGS Solution: “proaCtive mAnagemenT plAtform foR smArt Connected waTer” (CATARACT) platform  Leverages on:  Commercial and R&D based sensors  Standardized communication technologies  Analytics and Artificial Intelligence  Visualization and customizable dashboards
  10. 10. 1. Water Metering and Quality Control 2. Data Collection and Transmission to the utility center 3. Data analysis and data correlation Short range distance ( <25m ) Long range distance a. Complex Event Processing b. Predictive Analytics c. Data Correlation a. Gateways (Arduino, Raspberry) b. Protocols (Modbus, DNP3, IEC 870-5-104) c. Technologies (NB-IoT, LoRa/LoRaWAN, Zigbee, Sigfox) a. Physical (Flowrate, Pressure, Conductivity, Temperature) b. Chemical (pH, Chlorine) Communication Technologies Analytics Automatic Metering and Control Dashboard 4. Real time data monitoring, data visualization Use Cases & Benefits Uses Cases  Leakage  Disinfection  Intrusion  Contamination  Blockage  Overflow Benefits  Public health  Optimized OPEX Overall concept
  11. 11. NB-IoT Revenue uplift of 2.2% for operators thanks to the launch of NB-IoT services (just for connectivity, will be higher if moved up to the value chain) NB-IoT tests in COSMOTE Lab Device prototyping 2400 2500 2600 2700 2800 2900 3000 3100 3200 3300 42 37 32 27 22 RLCUpLinkThroughput (kbps) Sent bytes Using NB-IoT Feeding CATARACT
  12. 12. Wider experience  WssTP is the European Technology Platform for Water  WssTP consists of 178 members and a network of more than 700 individuals from Industry, research, technology providers, policy makers and water users  WINGS has an active and leading role in WssTP Working Groups (WGs)  Water & ICT WG  Chapter leader in the "Water & ICT" roadmap  Water & Infrastructure WG  Water & Energy WG  Water & Agrifood WG  Awarded with WssTP Water Innovation SME Award 2016
  13. 13. Assisted Living Solutions for Smart Cities
  14. 14. Opportunity 72% 45% €3,000 to €4,500 15% of family members of elderly feel that the presence of monitoring technology in their relative’s home would give them greater peace of mind of customers with home automation systems have never programmed them of the total population of Europe are people with disabilities Average long term care fees per month Predict and notify Reducing the cost Automated home environment adaptation Support
  15. 15. Madrid - Smart City Sensors & Environmental Data: Temperature, Humidity, Pollen, Pollution Sendai, Tago-nishi - Smart City Sensors & Environmental Data: Temperature, Humidity, Pollen - Wearable Devices: Health data, heart rate & blood pressure Athens - Smart Home Sensors & Actuators: Temperature, Humidity, Luminosity, LEDs, Switches WINGS and AAL Pilots Madrid, Athens and Tago-nishi
  16. 16. Overall concept 1. Smart cities, Smart Homes, Wearables 2. Data Collection and Transmission 3. Data processing & analysis  Methodologies  Machine Learning  Predictive analytics  Complex Event Processing  Technologies  Wi-Fi  Bluetooth  ZigBee  3G/4G  Sensing & Monitoring  Pollution, Pollen  Temperature, Humidity  Lumen/Luminosity  Weather, Traffic  Wearables (pulse rate, heart rate) Communication Technologies Analytics Dashboard 4. Data monitoring & visualization Sensing and Actuation Data sources  Protocols  REST  COAP  MQTT  AMQP Environment Health IoT platform interoperability Use cases Mobile Apps  Environmental monitoring  Outdoor (Smart Cities)  Indoor (Smart Homes)  Smart Mobility  Health, Traffic, environment, weather Web Apps / Web UIs Home, City
  17. 17. Wider experience  Best Demonstration booth award at the EUCNC 2017, June 2017, Oulou, Finland  Best Exhibit Award at IoT360 Summit, October 2014, Rome, Italy  Best Demonstration Stand Award in Future Network and Mobile Summit 2013, July 2013, Lisbon, Portugal  Runner-up Demonstration Stand Award in Future Network and Mobile Summit 2012, July 2012, Berlin, Germany
  18. 18. Contact information @WINGS.ICT @WINGS_ICT @WINGS ICT Solutions @WINGS ICT WINGS ICT Solutions Ltd. Address: 336, Syggrou Avenue, 17673, Athens, Greece Phone: +30 215 5011 555 Web: E-mail:
  19. 19. Thank You!