Honeywell Technology Summit Kuwait BIG DATA ANALYTICS. Usama Al-Shiraida 4-Oct With Uniformance Suite

Transcription

1 Honeywell Technology Summit Kuwait Usama Al-Shiraida 4-Oct-2017 BIG DATA ANALYTICS With Uniformance Suite

2 Digital Transformation 1 Industry 4.0 Cloud Industrial Internet of Things Digital Transformation Data Analytics Mobility Big Data

3 Past Trend 2 Workflow 1 Analytics Workflow 2 Data Analytics Reactive Insights Analytics Workflow 3

4 Current Trend 3 People + Process Data Collaboration Enhanced Analytics Situational Awareness Technology

5 Digital Excellence: Asset Health, Process Performance and People 4 Make faster decisions with better insights Convert tacit knowledge into explicit knowledge Link day to day actions to high level business goals People Productivity Excellence by Digital Transformation Process Performance Improve process efficiency Reduce capacity loss Reduce energy spend Improve Overall Equipment Effectiveness (OEE) Increase asset utilization Identify underperforming assets Asset Health

6 Future Trend 5 People + Process Situational Awareness More Data More Analytics Better Insights Technology Streaming Insights

7 Uniformance Suite 6 Connect Connect and store relevant realtime process and event data both on-site & in the cloud Analyze Calculate, analyze, and detect risks and opportunities with asset-centric advanced analytics Visualize Interactive visualization of trends, charts, and graphics across variety of data sources for process & manufacturing intelligence Act Notifications and workflow for accelerated decision-making to maximize business performance

8 Uniformance Connected Historian 7 Combination of Enterprise and Big Data Historian With a shared enterprise context model Enabling more than time series data: - Alarms/event - Transactional data - Production data - Geo location - Images - Video - Complex data - Etc. Uniformance Connected Historian

9 8 Uniformance Insight Key features: Intuitive trend Graphics HTML5 thin client Ad-hoc layout manager Smart time control Flexible connectivity Easy to Learn, Flexible to Use!

10 Interactive Trend Analysis with Data Playback 9 Interactive time slider - Change trend duration - Move time window Toggle play/paused mode Relative and absolute time Familiar date/time picker Pan and zoom Multiple hairline cursors Select and highlight trace Hide trend lines Set line thickness and style Set trace color and type

11 HTML5 Thin Client 10 Standard for thin-client visualization Supports multiple browsers Operating system independent Touch and tablet display use Zero end-user client install

12 11 Uniformance Executive Deliver effective visualizations of business performance to each user role - From CEO to Plant Engineer Empower decision making at all levels of the organization Provide relevant, timely information to every user

13 Rich Interactive User Experience 12 Support for any browser and any device(laptops, tablets) with consistent user experience across devices (HTML5) Range of visualizations to create rich and interactive dashboards Full range of sorting and filtering options Highly performant dashboards making information access faster Data Discovery User can easily and quickly perform data discovery and on-the-fly data analysis without having to involve the IT team. Dashboards can be personalized and displays re-visualized to different formats on the fly Comments can be captured on the dashboards accessible to users looking at the same data Personalized Interactive Analytics

14 Integrated Real-time Process Visualization 13 Users can seamlessly mashup real-time process schematics or trends along with Business/ Manufacturing KPIs in dashboards Users can start from a business KPI deviation on a main dashboard and drill down to the underlying process parameters Cause and effect of process or equipment conditions on business metrics can be quickly identified through real-time analytics Features: - Conditional coloring - Drag and drop to trends - Real-time playback

15 Drilldown and Drill-in for Detailed Analysis 14 Drill in to active widgets to expand granularity of data Drill down for supporting information and cause and effect analysis Drill-down Expand

16 Powerful Analytics and Reports 15 Asset based drill down and slicing of the data. Powerful filtering of information Customizable Reports

17 Focus on KPI Performance and Deviations 16 Deviations are highlighted Multi-functional displays Multiple tabs of data Multiple time ranges Active drill-in and drilldown Displays optimized for user experience Fast refresh from high speed data cubes Standard templates across entire organization 2015 by Honeywell International Inc. All rights reserved. Focus on what is important, fast

18 KPI Library Repository of KPIs for all major functional groups Leading and Lagging indicators KPIs for Executive Management, Plant Management, Process Safety & Operations KPI Categories KPI Number lost time accidents Category HSE Safety Operations Reliability Financial Energy & Loss Plant Expansion Number environmental issues Unit effectiveness Unit material balance APC constraints at limit Critical process parameters Alarm rate Unplanned downtime Operating envelope exceptions Variable cost Energy/ton of product HSE Operations Operations Operations Operations Operations Reliability Reliability Economics Energy & Loss Vision Goals Strategies Objectives KPIs Metrics Personnel Heater efficiency Energy & Loss Quality giveaway Quality 2016 by Honeywell International Inc. All rights reserved KPI library accelerates deployment and fosters standardization

19 Data Model Honeywell s Common Asset Model (CAM) provides business context across applications, including UKPI KPI hierarchies enable drilldown and cause and effect navigation Data Cubes generated from the KPI Hierarchies and CAM properties provide dimensions and measures for filtering, sorting and grouping Data Cubes allow data analytics and drilldowns direct from the dashboards. User configurable dimensions are supported Manual data input supported Data Model provides context and drives data analytics

20 Analytics - Marketing vs Reality 19 Data Data Big- Data IIoT Cloud Machine Learning Cloud Machine Learning Prediction Gartner s 2016 Hype Cycle 2015 by Honeywell International Inc. All rights reserved. There is no magic weight loss pill it is HARD WORK

21 Runtime Analytics & Off-line Analytics Runtime Analytics (Asset Sentinel) Event Detection Model Deviation Detection Heuristic Trained Normal & Abnormal First Principles Statistical State estimation Analytics Algorithms Process / Equipment Engineer Manual Rule Creation T_Diff = L_EGT R_EGT If T_Diff > T_Diff_Hi_Limit T_Diff_Hi_Alarm = TRUE Calculations If-then-else rules logic Rule Definition and Creation Process Visual Analytics (Process Data) Pattern search Value Search Combinations Cleanse / Filter Time Required / Skillsets Required Statistical Analytics (Process Data) Multivariate statistical (PCA, PLS, Kernel Regression ) Black-box (Neural Nets ) Data Scientist Big Data Analytics Data vol. & variety (unstructured / text) Feature Selection / Extraction ML (Random Forest, SVM, Naïve Bayes ) Process Data Real-time & Historical (Small Data) Process Data Historical (Small Data) Additional Transactional Data (Maintenance, Lab, Oil Analysis )

22 Proactive Detection Approaches Approach Technique Examples Complexity Risk 1. Physical & Heuristic 2. Univariate Prediction 3. Adaptive Filtering/ Thresholding 4. Basic Pattern Recognition 5. Data Driven - Multivariate Early Event Detection 6. Big Data 2015 by Honeywell International Inc. All rights reserved. Basic perf mon for broad set of assets & detection deviation from predicted vs actual Predicting single variable time to reach a value Regression e.g. (H_TimeFit) or Soft Sensor Data cleansing and moving window of historical window & compare current short term to historical Detect behavior of single or group of sensors according to know heuristic relationships Statistical pattern detection and recognition including OLS, PLS, PCA, Neural Nets, etc. Big Data using variety of data sources including maintenance and reliability data UOP Connected Perf. Services Dolphin Energy 1200 assets Heat Exchanger Fouling prediction Shell Martinez Transmitter Inferential Model* Extensively used on Shell Bridge compressor vibration Used on Bridge Spike with amplitude of Xpsi occurring Y times over Z minutes Choke Valve Leak Detection* Bridge Analytics POC Martinez Furnace Flooding POC Haul Truck Engine Prediction Aero APUs Low High Hybrid Approaches Needed Low High

23 Honeywell Connected Plant Solutions 22

24 The Expanded Uniformance Suite 23 Scalable connected historian Secure access to near real-time information Flexible visualization anytime anywhere Better analysis, monitoring & knowledge sharing Uniformance Executive Contextual data & powerful analytics Detect issues and accelerate response 2015 by Honeywell International Inc. All rights reserved. The foundation for the Honeywell Connected Plant Executive & Operational Dashboards Drive decisions and actions and track improvements

25 24 Opportunities Uniformance Insight Test Drive Try Insight for free, with no setup costs Use a test system hosted by Honeywell, with simulation data Try Uniformance Insight!

26 25 Honeywell is building a smarter, safer, and more sustainable world. THAT S THE POWER OF CONNECTED. THAT S THE POWER OF HONEYWELL. Connected Aircraft Connected Automobile Connected Home Connected Building Connected Plant Connected Supply Chain Connected Worker This document contains certain statements that may be deemed forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of All statements, other than statements of historical fact, that address activities, events or developments that we or our management intends, expects, projects, believes or anticipates will or may occur in the future are forward-looking statements. Such statements are based upon certain assumptions and assessments made by our management in light of their experience and their perception of historical trends, current economic and industry conditions, expected future developments and other factors they believe to be appropriate. The forward-looking statements included in this release are also subject to a number of material risks and uncertainties, including but not limited to economic, competitive, governmental, and technological factors affecting our operations, markets, products, services and prices. Such forward-looking statements are not guarantees of future performance, and actual results, developments and business decisions may differ from those envisaged by such forward-looking statements. We identify the principal risks and uncertainties that affect our performance in our Form 10-K and other filings with the Securities and Exchange Commission.