Application of Internet of Things to Real-Time Canal Management – A Case Study

The paper will present a case study on the application of IOT to water management of the Basingstoke Canal. It will explain what the IOT is, how it differs from a conventional telemetry system and how it has been applied to BCA. In conclusion, the authors will share lessons learned.

Transcript

1. Real-time water management in the Basingstoke Canal A case study on the application of the IOT Laurie Reynolds, C.Eng MIET Managing Director
2. WaterWorX – The smart water IOT platform 
 Monitoring, automation, energy efficiency, asset optimisation SCADA as a Service
3. IOT is convergence of 4 enabling technologies Evolution of monitoring and control technologies? Next generation SCADA. 1 Low-cost wireless sensors & actuator networks 2 Secure, robust wireless communication s 3 Cloud data analytics & reporting Mobile and desktop browser access and user interface 4
4. Conventional SCADA/Telemetry system Central Command & Control Dedicated point-to-point communications links Proprietary RTUs & protocols Hardwired Sensors & actuators >100,000 data points Proprietary Hierarchica l Closed
5. IOT – Wirelessly connecting silos
 IT network integration and interoperability Wireless communications infrastructure Standard wireless industrial gateways Sensors & actuators Wireless nodes SCADA 3G Models Supply Chain Maintenance services GIS Customer Virtual control centre Legacy
6. Capture best know-how in water sector.
 Encapsulate in data models, described using specialist vocabulary. Structured Knowledge SWIM Controlled vocabulary Domain Expertise R & D Best research into action Experienced operators & users Supply chain Social Networks Library of standard templates (Data models of water things)
7. Basingstoke Canal LONDON 32 miles (51km) 29 locks in east
8. Situation • Constructed in 1794 • No natural source of water, relies on rainfall harvesting • Increasingly derelict since 1950 • Restoration 1977 to 1991 • Only 5 rangers following reorganisation • Top pound (15mi) has only 300mm of storage • £5.4m improvements over 4 yrs to 2018 • Need to manage available water
9. Section 2 back pumping Stations Woodham & St Johns
10. Water balance model 
 2-3 month forecast
11. CanalWorX 
 Canal water balance management
12. Smart canal system • 9 Water level sensors at key points. • 5 inter-pound flow transfers. • 2 wet/dry spillway detectors. • Water levels to rangers smart phones. • Back-pumping station automation. • Time of day energy optimisation. • Rainfall forecast from crowd-source site • Implement water balance model. • Hosted IOT service for 5 years. • Twitter feed of bridge clearance
13. The project… • Software platform has worked well. • Level sensors • In-house design, too early to market. • Mk1 – serious problem with water ingress. • Mk2 – connector & temperature problem • Mk3 – fully potted, IP68 • Pump automation • Redesign to reduce communications bandwidth • Control over internet designed to improve security • Ready for factory test. • Steep learning curve but confident we will complete this winter
14. A standard for data exchange and horizontal integration www.hypercat.io Breaking down the silos - Hypercat
 Resource Discovery • Common, machine- readable API • HTTPS, REST, JSON • Annotate existing APIs • A simple foundation
15. SWIM - Semantic Interoperability
 Developing a data exchange standard for knowledge exchange Common machine understanding Common human understanding Ontology: Common Meaning Reduced software costs Faster time to market Insights from reasoning
16. Thank you
 Laurie Reynolds, C.Eng MIET Managing Director laurie@aquamatix.net