in Situational Awareness current/future operational .helping water loss! Combining and analysing data to drive decisions and address

Transcription

1 Combining and analysing data in Situational Awareness to drive decisions and address current/future operational water efficiencies.helping water loss! Carl Payne UK Utilities Business Development Manager

2 Agenda Introduce highly flexible software tool Used in leakage management Decision support and event detection Intelligent systems Need a platform capable of adapting to disruptive technologies and disruptive business process change Stuart Reid, SSE Solutions that can develop with the customer needs phased delivery to de-risk committing to a large project Theme - combining data Existing systems future systems Possibly loggers/tools from multiple suppliers (new and legacy) Thank you Copenhagen Show Case Studies Focus audience to use software: Water companies Partner suppliers

3 About ICONICS Headquartered in Foxboro, MA Since Countries 400+ Partners 350,000+ Installations Worldwide Award-winning Microsoft Gold Partner Energy Smart Buildings Manufacturing Intelligence and Industrial Automation Power and Utilities Public Infrastructure

4 Addressing Water Loss - Combining Efforts Reducing water loss is a combined effort formed using: Operational use of great individual technologies (many at CWL2017) radio to get data, pressure/flow sensing, noise logging; pressure transients; IoT sensor on assets.. Knowledge/experience municipality management & strong operators to optimize the network Cultural attitudes to usage based on location of municipality plentiful or low cost of water so why save it?...environmental Regulation! & more methods..

5 What We Do? Combine (Efforts) Using Data/Analysis - HTML5 ICONICS IoT Gateway

6 Universal Connectivity Analysis - Visualise Any Equipment Any Control System Any Protocol Any Device

7 Let s get out of the water then dive back in! Why combine data from disparate systems? To improve productivity and to minimize losses Production & energy losses Productivity & military asset availability losses Water supply losses & excessive usage Productivity/project efficiency losses Energy losses 45K assets 500 million data points

8 Energy Loss and Maintence Prioritisation 2016 ICONICS UK Ltd Confidential and Proprietary

9 Money is in Fault Detection & Prioritisation Top 20 Faults = 344,000 Opportunity

10 Back in the water! Combining Efforts Combining Data Sets i.e. multiple logger tools, historians, models, asset management tools = Joined up, informed decision making = Proactive and also still reactive decision making (with context) = Operational cost savings and regulatory improvements

11 How do we do it? Situational Awareness Situational Awareness is utilising existing systems (not replacing), to exploit disparate data for pro-active/intelligent decisions and process improvement.

12 Situational Awareness What We Do O p s D a t a GIS OData - EA Streetworks Planned Maintenance Vehicles Video Stream Drone Weather video Historical Security data Situational Awareness Processing Platform Condition Based Monitoring Fault Detection & Diagnostics Business Rules Alarm Optimization Process Control Asset Optimization KPIs Machine Learning Geospatial layers Permits Asset Management to Work System (e.g.maximo, ERP) O&M Customer Manuals Systems Photos Lone Worker Ops Water Log Operations Energy CRM Optimisation OData/REST API to 3 rd parties R e s p o n s e Sensors / Smart Meters / AMR Alerts Key Source Data SCADA/IoT

13 Situational Awareness in Operation Scottish Water Incident Management A Situational Awareness solution, retrieving data from multiple internal business systems for event management. Links to: Oracle Promise - customer Ellipse E&M Met Office - weather Emerson OE Masternaut - vehicles Sensors/loggers Welsh Water Leakage & Pressure A Situational Awareness solution to provide leakage detection and alerts to operations teams based on dynamic analysis. Links to: Technolog meters SAP Planned works information Navman Vehicle information Met Office Weather Environment Agency Flood data The most successful tool in the Smart Hub Water Quality/Pollution Monitoring A Situational Awareness solution (Azure), providing data analysis auditing and risk warnings of metaldehyde run-off and water turbidity. Links to: Metaldehyde sensors River levels Turbidity data Heat map images Met Office Environment Agency

14 Scottish Water Project Details Location: Whole of Scotland Project Status: Phased (Continuing Expansion) Start date: Phase Completion date: forever evolving Challenges: Quicker identification of business risks Connecting disparate sources of business intelligence (data) Developing a future proof intelligent control and awareness system Successes: Real Time Asset Performance and Efficiency Monitoring Quicker response times due to granularity of the information available and by allowing disparate systems to talk Preventative flooding action through earlier identification of risks A tool that can be internally developed and used by the Scottish Water team. Lower resource costs. Benefits Proactive identification of business risk Improved response times reduced customer minutes lost Customer ownership (not tied to IT) internal development Future proof system

15 WELWYN GARDEN CITY 15

16 Campus Overview 2016 ICONICS UK Ltd Confidential

17 KPI Views

18 Easy to use Dashboard Designer

19 Heat Mapping Available on all platforms WPF, UWP, HTML5 Data source is a dataset Discrete/Gradient maps

20 De-centralised Operations ICONICS UK Ltd Confidential and Proprietary

21 Outcomes of Situational Awareness Outcome Delivery Incentives (regulatory) fewer penalties Improvements made: Reduced time to respond to customers and close events Reduced interruptions to supply (often through early identification) Prioritized asset condition / fault maintenance intervention Water quality issue reductions = less water loss Resource optimization savings Data manipulation saving Improved Information = Improved Customer Experience = Less usage

22 Water Usage - could be a loss! Upstream DMA Water company/municipality Customer (past the smart meter): Assumed usage (known) usage unknown Other benefits: Identify non-usage!!. if vulnerable customer.. Highlight to relevant authority or customers relative

23 Thank you Any Questions?