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JOHN PETZE, MARC PETOCK
PROJECT HAYSTACK
November 21, 2017
OUR GOAL – MAKING DATA FROM DIVERSE
EQUIPMENT SYSTEMS EASY TO WORK WITH
November 21, 2017 2
OUR TOPICS TODAY…
 The importance of data interoperability and how Project-
Haystack provides a universal markup language to capture IoT
device data semantics
 The challenge – making device data self-describing for easier
use across applications
 How the open-source Haystack standard addresses the need
 The Haystack Community – an update on the adoption of
Haystack, advances in the technology, and the activities of the
community worldwide
 Data Management planning
THE DATA CHALLENGE
 While the amount and type of smart devices explodes,
most device data has poor semantic modeling (information
describing the meaning of the data)
 A manual, labor intensive process is required to "map"
(define/describe/interpret) the data before it can be used in
different applications
 This adds cost and slows the use of this valuable data
PROJECT HAYSTACK IS…
 A community of people working to address this challenge
by creating a standardized approach to defining
information models for equipment systems and their data
 Project Haystack vision: A standardized methodology for
modeling (describing) data will make it easier and more
cost effective to analyze, visualize, and derive value from
our operational data
 Think of it as a “markup language” for data
THE CHALLENGE – A USE CASE
• Analyze this: zn3-wwfl4 = 76.2
• Hmmmm… What is it? Deg C, F, KW, kPa, ???
• Need to know units. Lets say it is Deg C
• Hmmmm… Is 76.2 Deg F OK?
• What is it? Zone temp, Return air temp, chilled water temp? Lets say it’s a Zone
• What is the schedule? Schedule #1 = 7:30 AM - 6:30 PM
• Is it an exterior zone? Yes
• Is supplied by a VAV box? Yes
• What AHU is it served by? AHU-1
• How can I convey these answers in a standard way that other software can interpret?
USE CASE – HAYSTACK REPRESENTATION OF DATA
A MARKUP LANGUAGE
 Why can I point my browser at your website and read what
you have published?
 We didn’t pre-arrange for me to be able to interpret your
website code
 It works because industry agreed on a mark up language
(HTML)
 If you use HTML I can read the “data” on your website (text) –
if you didn’t follow this agreed upon methodology I couldn’t
 Haystack does the same thing for device data
HAYSTACK IS MORE THAN ONE THING...
 First, it’s a methodology for defining the meaning of smart device
data
 Also known as semantic tagging, meta data or data modeling
 Open source, highly flexible, applicable to data of all types
 Example of Haystack tags to describe a point in a system:
HAYSTACK IS… CONSENSUS DEVELOPED
EQUIPMENT MODELS
• Second, its a set of standard tag
sets or equipment models
developed by consensus of the
community
• An ongoing effort by “birds of a
feather” to develop tagging models
for equipment systems based on the
Haystack tagging methodology
HAYSTACK IS… THIRD - SOFTWARE TOOLS
 A highly efficient REST API that makes it easy to exchange Haystack
tagged data among applications
 Reference implementations of the REST API that can be easily
incorporated into applications and products to allow them to exchange
Haystack data (Java, node.js, Dart, Python, and C++)
 Members of the community have created software plug-ins to enable
various systems to “speak” haystack. Example: the NHaystack module for
Niagara® systems
 Others have built software tools to streamline the tagging process –
Example Project Builder Plus – an open source tool
HAYSTACK – WHAT IT ENABLES
 Applications that just work !
 Example: Graphics can auto-generate just by reading the meta
data associated with points
 Control logic can ”find” all similar devices it should be applied to
(think VAV’s)
 Easier integration with external software applications – apps can
understand and consume data without human interaction to
“map” data
 A new generation of engineering tools to streamline project
implementation tasks
ARCHITECTURES USING HAYSTACK
Tags exist in end Tags exist in network
controllers
Tags applied in server level
application
HAYSTACK – ADOPTION AND SUPPORT
 Winner of 2013 Digie Award for Best Intelligent Building Technology
Innovation
http://project-haystack.org/forum/topic/100
 Project-Haystack 501C Corp formed June 2014
http://www.ireachcontent.com/news-releases/project-haystack-announces-formation-
of-non-profit-corporation-263428181.html
 Haystack Connect Conferences 2013, 2015, 2017
https://haystackconnect.org/
 CABA White Paper March 2016
https://project-haystack.org/file/22/CABA-White-Paper-on-Project-Haystack.pdf
HAYSTACK – ADOPTION AND SUPPORT
 Used in systems and software deployed in thousands of buildings and
devices
 Adoption by equipment manufacturers for next generation product – some on
the market today
 Dozens of systems integrators trained and using Haystack in projects every
day
 Over 1400 people registered users on Project-Haystack forum
 Intel joins Project-Haystack.org as a Board member (March 2017)
 Multiple community Working Groups focusing on equipment systems and
applications segments
HAYSTACK – OUR MEMBERS
Founders/Board Members:
• Airmaster
• Enerliance/Yardi
• Intel
• J2 Innovations
• Legrand
• Lynxspring
• Siemens
• SkyFoundry
Associate Members:
• Accu-Temp
• Altura
• Arup
• BASSG
• BUENO Systems
• CABA
• Connexx Energy
• Controlco
• Grosvenor Engineering Group (Australia)
• Intellastar
• Intelligent Buildings
• IoT Warez
• KMC Controls
• KNX Association
• sensorFact
• Tridium
HAYSTACK – RESOURCES
 A Haystack Primer:
https://newdeal.blog/introduction-to-project-haystack-3dce54f90b1d
 CABA White Paper March 2016:
http://project-haystack.org/file/22/CABA-White-Paper-on-Project-Haystack.pdf
 Haystack Connections Magazine Fall 2017:
https://project-haystack.org/file/26/Haystack-Connections-Magazine-3-Fall-2017.pdf
 Guide Specification:
https://project-haystack.org/file/9/Guide-Spec.docx
 Software reference implementations in: Java, C++, Niagara, C#, Dart, node.js, Python
 Find Resources and Software downloads here:
http://project-haystack.org/download
WHY HAYSTACK MATTERS
 We want to easily utilize data from various sources for reporting,
visualization, analysis, and decision making
 Lack of standardized naming conventions in control and equipment
systems makes this a labor intensive effort
 Names on their own can’t solve the challenge – too much information to
be carried in a name, no standardization, and they already exist the way
they are – your not going to change all existing names!
 This is a major barrier to utilizing the rapidly growing amount of data
produced by smart systems
DATA MANAGEMENT PLANNING
 Haystack is a key part of a data management plan
 Governance
 Assessment of Data Resources Ownership and Responsibility
 Security and quality control
 Data Management
 Consistency and Integrity
 Best Practices
 Understanding
 Identifying Data that Matters Most for various applications
 Normalization and Integration
 Tagging and Modeling
HAYSTACK – REVIEW OF KEY
TAKEAWAYS
 Deployed, working, proven
 Open source community driven ZERO cost to access documentation and use
 Extensible beyond community agreed equipment models – you can use Haystack
methodology with your own tags/descriptors outside of standard group work on
models
 Lightweight – can be implemented in the smallest devices, network level
controllers, standard databases – all the way to text files, & Excel worksheets
 Accessible/understandable by real users – technicians and engineers that do
systems integration
 Human readable and machine readable
CONSIDER JOINING THE EFFORT
 www.project-haystack.org
 Learn how to utilize Haystack
to streamline your projects
 Contribute your knowledge
 Advance the effort, be a…
THANK YOU
John Petze
Executive Director, Project Haystack
Organization
www.project-haystack.org
johnp@haystackconnect.org
john@skyfoundry.com
May 9, 2017 22
Marc Petock
Secretary, Project Haystack
Organization
www.project-haystack.org
marc.petock@lynxspring.com

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Making Device Data Self-Describing with Project Haystack

  • 1. JOHN PETZE, MARC PETOCK PROJECT HAYSTACK November 21, 2017
  • 2. OUR GOAL – MAKING DATA FROM DIVERSE EQUIPMENT SYSTEMS EASY TO WORK WITH November 21, 2017 2
  • 3. OUR TOPICS TODAY…  The importance of data interoperability and how Project- Haystack provides a universal markup language to capture IoT device data semantics  The challenge – making device data self-describing for easier use across applications  How the open-source Haystack standard addresses the need  The Haystack Community – an update on the adoption of Haystack, advances in the technology, and the activities of the community worldwide  Data Management planning
  • 4. THE DATA CHALLENGE  While the amount and type of smart devices explodes, most device data has poor semantic modeling (information describing the meaning of the data)  A manual, labor intensive process is required to "map" (define/describe/interpret) the data before it can be used in different applications  This adds cost and slows the use of this valuable data
  • 5. PROJECT HAYSTACK IS…  A community of people working to address this challenge by creating a standardized approach to defining information models for equipment systems and their data  Project Haystack vision: A standardized methodology for modeling (describing) data will make it easier and more cost effective to analyze, visualize, and derive value from our operational data  Think of it as a “markup language” for data
  • 6. THE CHALLENGE – A USE CASE • Analyze this: zn3-wwfl4 = 76.2 • Hmmmm… What is it? Deg C, F, KW, kPa, ??? • Need to know units. Lets say it is Deg C • Hmmmm… Is 76.2 Deg F OK? • What is it? Zone temp, Return air temp, chilled water temp? Lets say it’s a Zone • What is the schedule? Schedule #1 = 7:30 AM - 6:30 PM • Is it an exterior zone? Yes • Is supplied by a VAV box? Yes • What AHU is it served by? AHU-1 • How can I convey these answers in a standard way that other software can interpret?
  • 7. USE CASE – HAYSTACK REPRESENTATION OF DATA
  • 8. A MARKUP LANGUAGE  Why can I point my browser at your website and read what you have published?  We didn’t pre-arrange for me to be able to interpret your website code  It works because industry agreed on a mark up language (HTML)  If you use HTML I can read the “data” on your website (text) – if you didn’t follow this agreed upon methodology I couldn’t  Haystack does the same thing for device data
  • 9. HAYSTACK IS MORE THAN ONE THING...  First, it’s a methodology for defining the meaning of smart device data  Also known as semantic tagging, meta data or data modeling  Open source, highly flexible, applicable to data of all types  Example of Haystack tags to describe a point in a system:
  • 10. HAYSTACK IS… CONSENSUS DEVELOPED EQUIPMENT MODELS • Second, its a set of standard tag sets or equipment models developed by consensus of the community • An ongoing effort by “birds of a feather” to develop tagging models for equipment systems based on the Haystack tagging methodology
  • 11. HAYSTACK IS… THIRD - SOFTWARE TOOLS  A highly efficient REST API that makes it easy to exchange Haystack tagged data among applications  Reference implementations of the REST API that can be easily incorporated into applications and products to allow them to exchange Haystack data (Java, node.js, Dart, Python, and C++)  Members of the community have created software plug-ins to enable various systems to “speak” haystack. Example: the NHaystack module for Niagara® systems  Others have built software tools to streamline the tagging process – Example Project Builder Plus – an open source tool
  • 12. HAYSTACK – WHAT IT ENABLES  Applications that just work !  Example: Graphics can auto-generate just by reading the meta data associated with points  Control logic can ”find” all similar devices it should be applied to (think VAV’s)  Easier integration with external software applications – apps can understand and consume data without human interaction to “map” data  A new generation of engineering tools to streamline project implementation tasks
  • 13. ARCHITECTURES USING HAYSTACK Tags exist in end Tags exist in network controllers Tags applied in server level application
  • 14. HAYSTACK – ADOPTION AND SUPPORT  Winner of 2013 Digie Award for Best Intelligent Building Technology Innovation http://project-haystack.org/forum/topic/100  Project-Haystack 501C Corp formed June 2014 http://www.ireachcontent.com/news-releases/project-haystack-announces-formation- of-non-profit-corporation-263428181.html  Haystack Connect Conferences 2013, 2015, 2017 https://haystackconnect.org/  CABA White Paper March 2016 https://project-haystack.org/file/22/CABA-White-Paper-on-Project-Haystack.pdf
  • 15. HAYSTACK – ADOPTION AND SUPPORT  Used in systems and software deployed in thousands of buildings and devices  Adoption by equipment manufacturers for next generation product – some on the market today  Dozens of systems integrators trained and using Haystack in projects every day  Over 1400 people registered users on Project-Haystack forum  Intel joins Project-Haystack.org as a Board member (March 2017)  Multiple community Working Groups focusing on equipment systems and applications segments
  • 16. HAYSTACK – OUR MEMBERS Founders/Board Members: • Airmaster • Enerliance/Yardi • Intel • J2 Innovations • Legrand • Lynxspring • Siemens • SkyFoundry Associate Members: • Accu-Temp • Altura • Arup • BASSG • BUENO Systems • CABA • Connexx Energy • Controlco • Grosvenor Engineering Group (Australia) • Intellastar • Intelligent Buildings • IoT Warez • KMC Controls • KNX Association • sensorFact • Tridium
  • 17. HAYSTACK – RESOURCES  A Haystack Primer: https://newdeal.blog/introduction-to-project-haystack-3dce54f90b1d  CABA White Paper March 2016: http://project-haystack.org/file/22/CABA-White-Paper-on-Project-Haystack.pdf  Haystack Connections Magazine Fall 2017: https://project-haystack.org/file/26/Haystack-Connections-Magazine-3-Fall-2017.pdf  Guide Specification: https://project-haystack.org/file/9/Guide-Spec.docx  Software reference implementations in: Java, C++, Niagara, C#, Dart, node.js, Python  Find Resources and Software downloads here: http://project-haystack.org/download
  • 18. WHY HAYSTACK MATTERS  We want to easily utilize data from various sources for reporting, visualization, analysis, and decision making  Lack of standardized naming conventions in control and equipment systems makes this a labor intensive effort  Names on their own can’t solve the challenge – too much information to be carried in a name, no standardization, and they already exist the way they are – your not going to change all existing names!  This is a major barrier to utilizing the rapidly growing amount of data produced by smart systems
  • 19. DATA MANAGEMENT PLANNING  Haystack is a key part of a data management plan  Governance  Assessment of Data Resources Ownership and Responsibility  Security and quality control  Data Management  Consistency and Integrity  Best Practices  Understanding  Identifying Data that Matters Most for various applications  Normalization and Integration  Tagging and Modeling
  • 20. HAYSTACK – REVIEW OF KEY TAKEAWAYS  Deployed, working, proven  Open source community driven ZERO cost to access documentation and use  Extensible beyond community agreed equipment models – you can use Haystack methodology with your own tags/descriptors outside of standard group work on models  Lightweight – can be implemented in the smallest devices, network level controllers, standard databases – all the way to text files, & Excel worksheets  Accessible/understandable by real users – technicians and engineers that do systems integration  Human readable and machine readable
  • 21. CONSIDER JOINING THE EFFORT  www.project-haystack.org  Learn how to utilize Haystack to streamline your projects  Contribute your knowledge  Advance the effort, be a…
  • 22. THANK YOU John Petze Executive Director, Project Haystack Organization www.project-haystack.org johnp@haystackconnect.org john@skyfoundry.com May 9, 2017 22 Marc Petock Secretary, Project Haystack Organization www.project-haystack.org marc.petock@lynxspring.com