Mobile Asset Data Integration Into PI System

Transcription

1 Mobile Asset Data Integration Into PI System Presented by: Kirk Petroski Founder, CEO Symboticware 1

2 Agenda About Technology Industry/ Market Company Industry Needs and Challenges Background Overview Commission Client Tools Case Study Summary 2

3 Process Monitoring and Control Methods today 3

4 About Symboticware Our Mission Safety, production, asset utilization, environmental, and energy management Standards Open standards-based data and control platform for mining from pre-construction to closure Presence Sudbury, Ontario, Canada with presence in USA, Brazil, Chile and Peru. 4

5 Industry Challenges Process monitoring and control methods Underground Photo Provided by Vale 5

6 Industry Challenges How can automated wireless technologies address challenges? High exposure to operational risks, diminishing margins and increased costs, technology adoption and streamlining integration. Technical Challenges Data availability and interfacing with mobile assets Intermittent connectivity and data gaps Knowledge/ability with PI system at mine-site Behavioral Challenges Decision making and influence within operator s structure Market Characteristics Maturity and acceptance of global mining standards and guidelines 6

7 Industry Needs Safety Reduce Exposure to Operating Risks Monitor Conditions and Working Environment in Real-Time Productivity Reduce Margins of Error Increase Personnel and Equipment Productivity Make Better and More Informed Decisions in Real-Time Efficiency Improve Equipment Reliability and Run time Reduce Maintenance Expenses Maximize Production time 7

8 Integration of Mining Control and Enterprise Open standards platform for integration and data flow into PI Systems Plant MGMT & SCHED. Production PI Supervision Process Supervision Symboticware Direct Control The Process 8

9 Integration Overview TCP Modbus Serial J1939/CDL Process LAN. Ethernet PI UFL Node (SymView) DMZ Router/Firewall PI DataLink PI ProcessBook PI Coresight PI WebParts PI Server AF DB Business LAN. 9

10 Commissioning SymBots in PI Systems Install hardware, assign IP addresses Install SymView (configure with desired tag names) Load PI tags and attributes into server with PI SMT tools Excel add-in Install and configure UFL interface. Run as service in Windows. Create PI AF structure (or use template). Create PI ProcessBook reports or PI Coresight reports. 10

11 Parsing the Data (UFL Interface) Ex. Line from the.csv output generated by SymView: "38-SYMBOT-AIRFILT.DIFFPRESS", "105.23", " T16:29:49, "00:22:B0:C8:71:A5 Field 38-SYMBOT- AIRFILT.DIFFPRESS Description PI Tag name, customizable in SymView to your PI tag naming convention Data value, can be a string, integer, float or time. This is the value that will be stored in the database T16:29:49 00:22:B0:C8:71:A5 Timestamp, used to record date/time in the PI database. UTC time is used, no offset. MAC Address of the access point the SymBot was associated with at the time the data was recorded. Used for location by determination with a relational database. 11

12 UFL Settings Reads in.csv files from a directory on local node..csv renamed to._ok file once successfully parsed; or to.bad if parse failed..csv files older then 30 days are purged from the folder 12

13 Client Tools PI WebParts (SharePoint) PI ProcessBook PI DataLink PI Coresight 13

14 PI Asset Framework (AF) Expose assets in a hierarchical, scalable, secure and extensible database Access and model data from different PI servers Storage of other details (Serial Number, Model, Scheduling, Costs, etc.) Templates available for quick deployment of new units Access to non time-series data sources Integration of analysis and notification tools 14

15 PI Coresight Using PI AF, PI Coresight charts are extremely easy to build. 15

16 PI Process Book Displays View real-time and historical SymBot data in existing PI software Customizable Dashboard 16

17 Case Study Process Control Capabilities and Services U/G Mobile Equipment Data Management at Sudbury Integrated Nickel Operations Nickel Rim South Mine 17

18 Case Study Process Control Capabilities and Services U/G Mobile Equipment Data Management at Sudbury Integrated Nickel Operations Nickel Rim South Mine Reference: XPS.ca 18

19 How will you extract VALUE from your data? Condition Based Maintenance (CBM) Decrease Equipment Downtime Minimize Component Failures Integrated Fleet Management Increased Efficiency Data Reporting Location Tracking Load Weights Increased Safety Speed Control Atmosphere Monitoring Emissions Monitoring Reporting Government and Environmental Compliance 19

20 Features and Benefits Bi-directional, store-and- forward data collection Remote configuration capabilities Mesh capabilities Integration with existing mine infrastructure 20

21 Brought to you by

22 Kirk Petroski Founder, CEO (800)