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.
We are excited to announce a new Associate Member has joined Project Haystack. Please welcome e-Magic.
e-Magic Inc. specializes in providing expertise and software for design, development and integration of large scale Industrial IoT systems globally.
e-Magic solutions run on-premise, as well as in the Microsoft Azure Cloud.
The Project Haystack organizations is pleased to announce the publication of the seventh issue of the Project Haystack Connections Magazine! It is a true testament to the mission that the Haystack Community is committed to and highlights many of the accomplishments that have been made over the past six months. We feel it is especially relevant during these challenging times as we redefine how we work and manage the built environment.
The theme of our Spring 2020 issue is 'The Mission: Making Data Easy to Work With'. It holds another collection of articles, Project Haystack members and supporters that include Charlton Morris, Newcomb & Boyd Consultants and Engineers and Georgia Tech, the Pacific Northwest National Laboratory and Intelligent Buildings Group, Altura Associates, Johnson Controls, Lynxspring, Tridium, J2 Innovations, Widesky, and Siemens.
We are excited to announce a new Associate Member has joined Project Haystack. Please welcome BrainBox AI.
BrainBox AI is producing remarkable energy savings using AI to continuously make micro-adjustments to existing building HVAC systems. It monitors a multitude of data points and then makes decisions about how to optimize the HVAC system in real-time. This process of continual monitoring, assessment, and adjustment is being achieved with advanced deep learning methodologies and understanding of the HVAC environment.
Recently published articles by the Project Haystack community for the Project Haystack community!
Georgia Tech: The Kendeda Building for Innovative Design
Making effective tagging of assets and data easier with each release of Niagara.
Utilizing standardized tags during initial project design, system specification, programming or commissioning provides a ripple effect of benefits.
A distinctive approach to truly make tagging work for systems integrators by Johnson Controls.
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