Industrial Control Engineering ADE Rapid Application Development Environment based on LabVIEW 1

Industrial Control Engineering Outline  MTA  Why RADE?  The challenge  The Scope  Coping with large applications  RADE today  Future 2

Industrial Control Engineering EN-ICE-MTA 3

Industrial Control Engineering Outline  MTA  Why RADE?  The challenge  The Scope  Coping with large applications  RADE today  Future 4

Industrial Control Engineering Why was RADE developed? 5

Industrial Control Engineering The Origin Magnets 1750 Circuits Tests 6

Industrial Control Engineering Outline  MTA  Why RADE?  The challenge  Coping with large applications  RADE today  Future 7

Industrial Control Engineering The Challenge Linux Windows Mac GPN TN DB CM W RBA C Timing Files PLC DAQ 8

Industrial Control Engineering The Challenge 9

Industrial Control Engineering The Challenge 10

Industrial Control Engineering RAD(E) RAD(E) (rapid application development) is a concept that products can be developed faster and of higher quality through:  Gathering requirements  Prototyping  Defer design improvements to the next release  Less formality in reviews and communication  Re-use of software components 11

Industrial Control Engineering Outline  MTA  Why RADE?  The challenge  The Scope  Coping with large applications  RADE today  Future 12

Industrial Control Engineering The Scope Application characteristics: Short development time Rapidly evolving Light and independent 13

Industrial Control Engineering  Fast programming  Rapid learning curve  Drag and drop GUI development  Wide range of analysis libraries  Light/independent environment  Integration with CERN infrastructures LabVIEW Initial Requirements 14

Industrial Control Engineering 15 RADE Palette

Industrial Control Engineering 16 LabVIEW user application LabVIEW C/C++ shared lib Java Server SDD S PLC MTA- lib RBA C RIO SQL TG M ALARM eLogBoo k RADE Core Technology

Industrial Control Engineering 17 RADE Applications

Industrial Control Engineering Outline  MTA  Why RADE?  The challenge  The Scope  Coping with large applications  RADE today  Future 18

Industrial Control Engineering Coping With Large Applications 19

Industrial Control Engineering  Fast programming  Rapid learning curve  Drag and drop GUI development  Wide range of analysis libraries  Light/independent environment  Integration with CERN infrastructures  Source control and distribution  Instance generation  Templates and documentation  Automated tests and builds LabVIEW Large Application Requirements 20

Industrial Control Engineering ICALEPCS Paper ID MOMIB08 21 Extreme Programming methods Small increments Minimal planning Cross-functional team working on all aspects Demonstrated to the stakeholders frequently Minimizing risks Fast changes and adaptations. Development Methods

Industrial Control Engineering Source Control 22

Industrial Control Engineering Continuous Integration 23

Industrial Control Engineering Continuous Integration Linux Windows and Mac Open stack and VPN 24

Industrial Control Engineering Continuous Integration 25

Industrial Control Engineering Continuous Integration 26

Industrial Control Engineering Distribution Online Installer 27

Industrial Control Engineering Distribution RADE Installer 28

Industrial Control Engineering Distribution 29

Industrial Control Engineering Dedicated Templates 30

Industrial Control Engineering Project Generation 31

Industrial Control Engineering Typical design Create, Use & Destroy 32

Industrial Control Engineering Development help  Design patterns and templates in RADE  LabVIEW Guides  Code review: make maintainable, and performant 33

Industrial Control Engineering Distributed Architecture System I/O 34

Industrial Control Engineering CERN LabVIEW support  LabVIEW installation problems  When to contact us?   cern.ch/labview 35

Industrial Control Engineering Hardware Support & Hardware Software PXI CompactRIO DAQ LabVIEW TestStand DIAdem and other NI products 36

Industrial Control Engineering Training Support LabVIEW TemplatesConfiguration filesDocumentation DB Files JAP C libs PLCCMWJava The Framework 37

Industrial Control Engineering Outline  MTA  Why RADE?  The challenge  The Scope  Coping with large applications  RADE today  Future 38

Industrial Control Engineering RADE today 39

Industrial Control Engineering Present domains of use… Accelerator Improvements Test facilities Expert tools 40

Industrial Control Engineering  RADE has become adult  LabVIEW has started getting out of the Lab  Copes with the classical software development challenges  Enables LabVIEW to be used for accelerator applications RADE today 41

Industrial Control Engineering Outline  MTA  Why RADE?  The challenge  The Scope  Coping with large applications  RADE today  Future 42

Industrial Control Engineering Future Challenges 43

Industrial Control Engineering Future Challenges 44

Industrial Control Engineering Future Challenges 45

Industrial Control Engineering Large system management  How to manage a large installation? Management System Monitoring Security Re-install Updates 46

Industrial Control Engineering Lightweight Editor? No Plugins, no driver, just syntax and wire check 47

Industrial Control Engineering Watch these! The LHC by Brian Cox The LHC Extreme programming by Elisabeth Hendrickson Extreme programming What the agile manifesto left out by Brian Marick What the agile manifesto left out Practicing Continuous Integration by David Cramer Practicing Continuous Integration The Actor Framework by Stephen Mercer The Actor Framework ZMQ is the answer by Ian Barber ZMQ is the answer 48

Industrial Control Engineering Questions 49

Industrial Control Engineering