Big Data Approaches For Retail Facility Management

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1 Big Data Approaches For Retail Facility Management

2 Quest For Facility Cost Savings 1. Proliferation of Facility Controls Electromechanical To Electronic Control Smart Algorithms And Control Schemes Modems To TCP/IP 2. Efficient Building Design & Construction Better Building Techniques/Prototypes, Sustainable Buildings 3. Energy Retrofits Antisweats, Variable Speed Drives, Efficient Components etc.. 4. Facility Optimization Cost Avoidance Better Management Of Service & Maintenance Lower TCO 2

3 Equipment Controls Digital Platform Based Services Emerson Offering Portfolio Reflects The Evolution In Industry Needs ProAct Services Global Call Center IT Systems Software Technology Supervisory Systems IPC RMCC Einstien E2 Dist. Controls Coplematic 3D Discus W/ Oil Protection 3D Discus W/ Diagnostics Discus Digital Core Sense Discus Digital VFDrives Scroll

4 Current Sites Connected By ProAct Remote Services Sites With Alarm & Advanced Services 20,565 Hosted Enterprise Management Services 17,477 8,389 6,352 6,475 6,208 6, ,275 7,564 FY08 FY09 FY10 FY11 FY12 FY13 Data Information Action 4

5 Our Digital Platform Now Receives 50M+ Alarms & Watches Over 2M Fixtures In Retail Stores Cumulative Savings Of Over $100M Delivered To Customers Through Remote Services Over The Last 10 Years 5

6 Simple Component Level Information Can Drive Big Savings Value Sensory Data Ambient Temp. Discharge Temp. Motor Temp. Contactor Status Unloader Status Power Voltage Control Circuit Voltage Current Demand Signal Oil Pressure Low/ High Pressure Cut-Out Digital Modulation Status 6 Insights Asset Information Compressor Proofing Power Consumption Run & Fault History Remote Diagnostics High Cycling Customer Value Compressor Protection Energy Efficiency Cost Savings

7 Complexity Increases With Every SubSystem That Makes Up A Retail Facility Sensory Data Discharge Press. & Temp. Suction Press. & Temp. Ambient Temp. Condenser TD Refrigerant Level Suction Gas Superheat Condenser Setpoint System Voltage Rack Current Modulation Status Insights System Overall Health Developing Problems When To Perform Maint Contactor Remaining Life Compressor Cycling Condenser Efficiency Remote Diagnostics High Cycling Customer Value System Uptime Efficiency Product Quality Maint. Cost Savings 7

8 Technological Complexity Data Value At An Enterprise Level Prediction & Modeling Triage & Analysis What will happen? Multi-Level Views: Enterprise, Store, Fixture Application Right Info At Right Time To Right Person Integration Of Various Sources Monitoring Why did it happen? Reporting What happened? What is happening now? A B C D McKinsey & Co. Value To Operational Improvement 8

9 Realizing The Power Of All This Data 1 2 Data Processing & Aggregation Analytics & Prediction Holistic 360 Views, Data Search & Visualization 3 9

10 Realizing The Power Of All This Data 1 2 Data Processing & Aggregation Analytics & Prediction Holistic 360 Views Data Search & Visualization 3 10

11 U.S. Supermarket Controls Installed Base (33K Stores) 14K 19K 1 Emerson Controls (TCP/Modem) Top 10 Chains 11 All Other

12 ProAct Services For The Enterprise 1

13 Overlay Approaches Identified To Reduce Customer Costs 1 Overlay Using Software Based Protocol Interpretation Overlay Using Supervisor Integration Lowest Total Cost Of Ownership For Customer Easier Troubleshooting When Problems Occur Easier Implementation Hardware Integration To 3 rd Party Boards Overlay Using Intermediate Device Special Purpose Integration Only Done On Customer Request Degrees Of Overlay Sophistication Basic Remote Access Alarm Receiving Full Site Mgmt Capability Advanced Services

14 ProAct Service Application ProAct Service Application Controls Tightly Coupled With Remote Data Models Current Approach Future Approaches Remote Service Modules DB Remote Service Modules DB Reduced Processing On Both Sides Remote Configuration & Licensing TCP/IP TCP/IP Push Information Back To Controller Seamless Controller / Enterprise Environment Location Agnostic Store Controller 14 Local Modules To Ease Data Management Store Controller

15 Realizing The Power Of All This Data 1 2 Data Processing & Aggregation Analytics & Prediction Holistic 360 Views, Data Search & Visualization 3 15

16 Operational Visibility & Benchmarking 2 Early Notification of Growing Compressor Problems Current Compressor Cycle Count 5 Days of High Cycling Equivalent to 100 Days of Normal Operation Lifetime Cumulative Compressor Cycle Count Customer Motivations Enhance Operational Life Of Compressors Avoid Unplanned Downtime Reduce Total Cost Of Ownership Of Store Infrastructure 16 Results Average 1-3 Compressors Replacements Per Store Per Year Avoided ~ Savings $3K- $10K/Year/Store

17 Condition Based Algorithms Create A Starting Point For Prediction Offerings 2 Predicted Refrigerant Level Actual Refrigerant Level Refrigerant Leak Detected - Alarm ~30 Days Refrigerant Addition Detected Customer Motivations Reduce Refrigerant Leaks In Stores To Sustainability Target Levels Drive Oversight Of Refrigerant Use Across Enterprise Use Existing Infrastructure & Predictive Approaches To Detect Leak 17 Results Refrigerant Leak Reduction $2500/Store/Year$

18 Prediction & Modeling Much Easier With New Tools & Algorithms Store E2 Enables Modeling of Correlations of Meter Usage Data Against Equipment Performance or Operation Parameters to Determine Usage Exceptions A/C kwh vs Cooling Degree Days, Store Temp., Humidity, Hours Rack kwh or Demand vs Suction or Discharge Pressure T P Temp., Pressure Sensors Emerson Energy Meter CT s Predictive Energy Modeling Learns Expected Energy Usage and Notifies of Unexpected High Usage kwh, Gas, or Water Usage Correlated to Controlling Variables e.g. A/C kwh Controlled by Setpoint, CDD, Outside Humidity, and Store Hours Models and Generates Usage Exceptions From Store Level Down to Equipment Sub-metered Level 18

19 Realizing The Power Of All This Data 1 2 Data Processing & Aggregation Analytics & Prediction Data Search Holistic 360 Views, & Visualization 3 19

20 Current R&D Effort Shows Big Promise 3 Two- Way Integration With Customer Data 360 Degree Integration With Industry Data Leveraging All The Data We Collect Do It For Me BI Big Data As A Service What If Analyses Energy Prediction & Optimization Predictive Asset Health Knowledge As A Service Food Quality Benchmarks Carbon Foot-print Benchmarks Social Media BI Energy Modeling & Optimized Commissioning Enterprise Search & Visualization 360 Degree Views Operational Analytics Alarm & Device Services Measure. Manage. Optimize. Sustain Asset 360 o View & Facility Health Index 300 GB+ A day 65 Million Alarms Annually 1.5 Million Telephone Calls Recorded Logs From Over 1.5 Million Pieces OF Equipment 3 Million Service Tickets Energy Data At 5 Minute Intervals Food Quality, CB Data 20

21 Searching & Visualization 3 Keywords: Site, Fixture, Alarm, Time, Application, Tech Name, Comments etc David AND

22 22 Multi-Dimensional Incident Views 1/12/2011 2/12/2011 3/12/2011 4/12/2011 5/12/2011 6/12/2011 7/12/2011 8/12/2011 9/12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/ /12/2011 1/1/2012 2/1/2012 3/1/2012 4/1/2012 5/1/2012 6/1/2012 7/1/2012 8/1/2012 9/1/ /1/ /1/ /1/ /01/ /01/ /01/ /01/ /01/ /01/ /01/ /01/ /01/ /01/ /01/ /01/ /01/ /01/ /01/ /01/ /01/ /01/ /01/2012 1/2/2012 2/2/2012 3/2/2012 4/2/2012 5/2/2012 6/2/2012 7/2/2012 8/2/2012 9/2/ /2/ /2/ /2/ /02/ /02/ /02/ /02/ /02/ /02/ /02/ /02/ /02/ /02/ /02/ /02/ /02/ /02/ /02/ /02/ /02/2012 Alarms Ambient Conditions Sunny 96 o F Sub-metered Energy Profile kwh 3 Fixture Operational Report

23 Integrating All Our Application Data To Create Benchmarks 3 Asset 360 o Refrigerated Case Fresh Food Case: FFC231 Key Performance Indicators Energy Consumption YTD: $500 Maintenance Cost YTD: $3,000 Asset Health Index Full health report 03/31 Dispatches Dispatches PM Visits Remote Resolutions Jan Feb Mar Energy Mfg. date: 10/10/2003 Warranty: No Age: 9 y 8 m Manufacturer: xxxx Service Provider: xxxx Best Practice Setpoints: Days Since PM Service: 3 m 6d Food Quality Index Hi: 37 o C Lo: 30 o C 6 Months FQR report 03/31 23 Alarm Trend

24 Early Adopters Are Key To Realize Promise Of Data Every Service We Have Created To Date Has Been Created To Solve Specific Customer Problem Moving The Industry Forward On Big Data Related Innovation Will Be Grounded In Identifying Creative Ways To Solve Problems Needing New Skills And New Infrastructure Quantitative Skills & Data Science Customer Engagements Rooted In Partnership Data Infrastructure & Electronics Customer Value 24

25 Thank You

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