Stackable is An orderly pile, especially one arranged in layers. or A large, usually conical pile of straw or hay
Semantics is the branch of linguistics that deals with the study of meaning, changes in meaning,
When something is very difficult to find it is like looking for a needle in a haystack. Especially because the area you have to search is too large and the size of what you are looking for is very small.
Daily we add IoT devices and data to our buildings creating a haystack of information which without a naming system, "A Stackable Semantic" we have no hope of retrieving any of this valuable data.
This review from 2016, How to Build a Haystack The history of Haystack as chronologically documented by AutomatedBuildings.com.
In celebration of the first ever Project-Haystack.org Connections magazine I worked on a March review entitled "How to Build a Haystack," the brief history of Haystack as chronologically documented on AutomatedBuildings.com. Even I was amazed at the length and depth of our journey to date. Project Haystack Connections is a major milestone. Amazing job by all those that are Haystackable. Shortened to just stackable.
The journey to build the Haystack community started here:
April 2011
Finding the Needle The emerging field of analytics is the key to turning the data from smart systems into actionable intelligence. - John Petze, C.E.M. Partner, SkyFoundry
May 2011
Project-Haystack We are now awash in large volumes of data, but we can’t easily derive value from it. Project Haystack's mission is to define this common vocabulary so that we can derive value from all the data our building automation systems are collecting. - Brian Frank, Founder, SkyFoundry
A fun review of how we got here.
I feel very much a part of this amazing Project-Haystack.org open source community. Our contributing Editor Therese Sullivan, BuildingContext Ltd plus Managing Editor, Haystack Connections Magazine wrote this article that launched this column, which provides more history of the movement.
Semantic Tagging Passes an Inflection Point
There was no pushback from any company regarding the need to support standardized tagging. They are either already doing it, or it is top on their roadmap. They all understand this is where the industry is headed.”
The Spring 2018 edition of Project Haystack Connections documents how fast the evolution toward smarter buildings can happen once building operational data has been tag-enabled. Both IT and OT contingents are recognizing that metadata tagging is key to clearing hurdles related to ease-of-use, unified data flow edge-to-cloud, data security and even adhering to new GDPR data privacy rules. Not to be missed is the fact that the storytellers in this issue — especially those that I interview in the Q&A section — are not solution vendors, but are from the ranks of design engineers, commissioning experts, smart building consultants, and large-portfolio property managers.
As I write this column, I have an unofficial copy of this online magazine for review, but by the time you read this, you will be able to read the complete 46-page pdf.
The Spring 2018 issue, which is our fourth issue, of the Project Haystack Connections Magazine is published! It is growing in readership as the industry comes to understand the mission of the Project Haystack Organization and the importance of making it easy to work with the data produced by smart, connected devices and equipment systems.
Project Haystack Connections Magazine SPRING 2018 The theme is 'Tagging the World of Data,' and this issue contains interviews with a good sampling of Haystack Tagging end-users from the ranks of design engineers, commissioning experts, smart building consultants, and large-portfolio property managers. Their stories document how fast the evolution toward smarter buildings and connected systems can happen once building operational data has been tagged. You will also find an analyst interview and contributed articles about deployments and tagging concepts and activities from Australia to the Nordics. Around the DDC world, people are recognizing that metadata tagging is key to clearing hurdles related to ease-of-use, unified data flow, edge-to-cloud, data security and even adhering to the new GDPR data privacy rules. Read about it first in the Spring 2018 edition of Project Haystack Connections Magazine. We want to thank the whole Project Haystack Community for their contributions to our success.
Thank you to all of the advertisers and to all who contributed to the awesome content in this issue.
The Project Haystack Connections Magazine Spring 2018 Issue can be downloaded by CLICKING HERE.
Let me pull a few highlights from this valuable issue.
Page 9
The theme of this issue of Project Haystack Connections Magazine is “Tagging the World of Data”. Given the continued growth and adoption of Haystack around the world, this theme is merited. But there is another aspect to the growing reach of Project Haystack that is equally important, and that is the use of Haystack across applications of all types - it’s not just about building systems.
Page 11
Q: What do you think of ASHRAE’s announcement about collaboration on Data Semantic Modeling under Standard 223P?
A: A common data semantics system is going to reduce friction among all the data-driven solutions aimed at commercial and industrial building owners and operators. The Smart Buildings industry has been offering lots of technology to reduce energy costs, to improve facility management efficiency and real estate operations, to increase the performance of physical security and safety in buildings. However, what we have seen so far is “internet of a thing.’ That is, a lot of focus on one thing, be it lighting, video, physical access, etc. The work of standardizing tagging methods and schema could be the catalyst which rises us above the silos, cross-pollinates ideas, and eventually knocks down the barriers.
Page 14
“Altura is pioneering a new class of service—full-lifecycle asset management in a tag-based environment....”
Page 21
“By doing this once thoroughly and explicitly, we hoped to save our project and facility teams any time and effort they would
otherwise put into naming, and increase the chances of long-term success with analytic tools.“
Page 23
“We want to capture more than just point-naming. The objective is to make it easy to track key performance data for single buildings, campus systems, or nationally connected systems.”
Page 26
Here is how Haystack’s interoperability and semantic modeling capabilities helped VRT Systems developers quickly build a solution that provides building occupants with a window into their data in real time and in an easy manner.
Page 34
#595 Project Sandstar
Our group is working to improve Haystack ops such that Sedona components can be created, changed, deleted and linked. It is paving the way for artificial intelligence to be utilized to generate and improve upon human-generated DDC code. You can learn a lot more about Project Sandstar by watching my demo as presented on ControlTalkNow.
Page 37
Audio Stream of “Making Internet of Things Device Data Just Work!” a Memoori webinar featuring John Petze and Marc Petock on Project Haystack
Making Internet of Things Device Data Just Work! Memoori Talked to John Petze and Marc Petock from Project Haystack about the importance of data interoperability and how Project Haystack provides a universal markup language to capture IoT device data semantics.
In this Q&A session with John and Marc, we dig into the details of the open source Project Haystack and discuss its importance to IoT data;
* 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.
Ready to Seek Stackable Semantics? Here is a link to the specifications to add to your next project,
Guide Specification for Data Modeling of Building Systems and Equipment Based on Project Haystack Open Source Data Modeling Standard v2013-10-1
1.0 Purpose: The purpose of a data modeling standard is to provide a consistent, standardized methodology for naming and describing data points associated with facility automation systems, equipment systems, energy metering systems, other smart devices including mobile assets, and associated descriptive information known as metadata.
https://www.project-haystack.org/download
I hope that I have caught your attention on the importance of seeking stackable semantics to find the needle in the haystack and make all you do virtually visible.