THE ROLE FOR EARTH OBSERVATION AND IOT INTEGRATION IN THE FUTURE MANAGEMENT OF WATER UTILITY 'SMART GRID' INFRASTRUCTURE

摘要

Adoption of "Smart Water" meters is currently transforming howwaterresources are used, billed and conserved across the Water Value Chain. In this senseboth digitisation and digital sensor technologies are set to enter rapidly accelerated growth. The adoption of the "'Smart Water meter" technology basedon an Automated Meter Reading (AMR) systems as well as Advanced Metering Infrastructure (AMI) replaces theanalogue meters with computerized systems that report usage, pipeline asset condition and leakage levels over interconnected digital datastreams and interfaces. Alreadynow,attheearly stage,thesesmart watertechnologiesoffergame-changing advances in the ability to control resources, manage utility businesses and operate large scale networks. As the water utilities industry is upgrading its networks to advanced levels of system intelligence, real-time netwo rk v is ib ilit y, en ergy efficiency, and customer management, this digital transformation, coupled with the advancement of IoT an d s ens o r networks will open new opportunities forthe satellite services providers to integratetheir solution with the AMI technology systems. In particular what is promising are the benefits of digitisation of the water network infrastructure for leakage management. Integrated systems can help utilities reduce Non-Revenue Water (NRW) by allowing themto accurately pinpoint leaks and potential theft. This can result in tremendous saving of billions of litres of water and operational cost savings by water utilities (estimated to costs governments and utilities approximately 14billionannually).This paperwill discussthestateofart in using the AMI "smart water" sensor technology, demonstrate theadded value ofsatellite applications (EOand communication) to complement ground sensors networks as well as provide the analysis of the market entry barriers for EO data analytics suppliers including lack of integration of data supply chains within existing data in frastructuresofthe water utilitie