Project Haystack is an open source initiative to streamline working with data from the Internet of Things. We standardize semantic data models and web services with the goal of making it easier to unlock value from the vast quantity of data being generated by the smart devices that permeate our homes, buildings, factories, and cities. Applications include automation, control, energy, HVAC, lighting, and other environmental systems.
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WGs are addressing additional equipment systems and applications for the built environment.
Are you new to Project Haystack?
Start here with our primer Introduction to Project Haystack.
Dig a little deeper into a reference implementation "Applying Haystack Tagging to a Sample Building".
Important updates for the Project Haystack community.
On behalf of Project Haystack, Richard McElhinney will be participating in the Data Tagging Workshop during the Big Data and Analytics Forum 2021, online July 22, 2021. To attend, visit: www.airah.org.au/BigData. To learn more about the Data Tagging Workshop visit: https://lnkd.in/g5K7-FM.
Founded in 2011, Project Haystack is an open source initiative to streamline working with IoT data, helping the industry turn operational data into actionable information. Used across millions of square feet of real estate and thousands of facilities, Haystack standardizes semantic data models and web services with the goal of making it easier to unlock value from the vast quantity of information being generated by the smart devices that permeate our homes, buildings, factories, and cities.
This week, Realcomm Live welcomes founding members of Project Haystack, John Petze and Marc Petock to discuss where the industry is today with smart building data standards for applications such as automation, control, energy, HVAC, lighting, and other environmental systems, as well as the importance of data interoperability. JOIN THE LIVESTREAM TOMORROW: https://lnkd.in/g8GKX8P
Project Haystack recently held its biennial conference, Haystack Connect. The conference is known for the quality of its technical program, which is driven by the Project Haystack community. This year’s event featured 30 presentations divided into three tracks.
The program was divided into three tracks. Track 1, Haystack in Practice, explored real world applications of Haystack tagging. Track 2 was the technical track. Track 3, “Pitchfest”, showcased new products and services utilizing Haystack technology.
The Latest Press Releases by the Project Haystack community.
Richmond, VA – April 30, 2021 – The Project Haystack Organization (www.project-haystack.org), a collaborative community addressing the challenge of utilizing semantic modeling and tagging to streamline the interchange of data among different systems, devices, equipment and software applications, today announced the publication of the ninth issue of their Connections Magazine.
Richmond, VA – February 9, 2021 – The Project Haystack Organization (www.project-haystack.org), a collaborative community addressing the challenge of utilizing semantic modeling and tagging to streamline the interchange of data among different systems, devices, equipment and software applications, today announced the next issue of the Project Haystack Connections Magazine is in development and is issuing a Call for Contributed Articles and Advertising Sponsors from the community providing Haystack-compatible products and solutions around the world.
Richmond, VA – February 2, 2021 – Project Haystack (www.project-haystack.org), a 501(c) non-profit trade association focused on streamlining the use of data from the Internet of Things (IoT), is excited to announce the fifth biennial Haystack Connect Conference will take place virtually May 4 – 6, 2021.
Recently published articles by the Project Haystack community for the Project Haystack community!
Brian Frank, Technical Lead, Project Haystack gives us the update.
HAYSON - New Haystack JSON Encoding
How Niagara users can configure tag dictionaries for easy reuse and faster overall deployment of a tagged project.
Interoperability between systems and data should not be a luxury that only a few have.
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