In The News

Here you can catch some of the headlines that Project Haystack and Haystack Connect 2017 are making In The News! Let us know if we missed one.

In the next year, smart building applications such as HVAC, lighting and other environmental systems, are expected to lead the overall IoT market as a result of increased connectivity and reduced device cost, according to Gartner. Building managers looking to implement smart and connected solutions across a number of structures, such as offices, retail spaces, sporting arenas and high-scale luxury apartments, are eager to gain real-time insights that can help them increase energy efficiency, lower maintenance and improve the tenant experience.

In fact, a truly Smart Building implementation requires integration of several systems together and delivers seamless experiences to its tenants and facilities managers. Example, if a Smart Lighting, HVAC system and a room finder application all need room occupancy information, each vendor implements their own solution to create information from the same data object or sensor.

BASSG has just open sourced one of its most popular software tools - Project Builder Plus (PB+), for free use and development by the community. The PB+ editor makes it easy to work on large trend data files from your desktop, adding Project-Haystack tagging and custom extensions in preparation for importing data into analytics and visualization applications.

PB+ accepts building operational data as raw XML and CSV files and exports Project-Haystack-compliant ZINC files. From the editor screen you can assign Haystack tags and extend tags with batch oriented tools. PB+ has options to communicate with NHaystack, Project-Haystack’s open-source Niagara AX module, and with oBIX (Open Building Information Exchange) compatible databases. These connectors can be extended to Modbus, BACnet, and other standard building protocols.

We are excited to announce that Constellation was presented with the first-ever, end-user award for adoption of Project Haystack technology. The award was presented at the Control Trends Awards event on January 29th in Las Vegas, to a packed house.

Constellation, an Exelon company, is a leading competitive energy company providing power, natural gas, renewable energy, and energy management products and services for homes and businesses across the continental United States. They provide integrated energy solutions — from electricity and natural gas procurement and renewable energy supply, to energy efficiency and distributed energy solutions — that help customers strategically buy, manage and use their energy.

AUTOMATEDBUILDINGS.COM INTERVIEW – Ken Sinclair with John Petze and Marc Petock

John Petze is Executive Director and Marc Petock is Secretary of the Project Haystack Organization.

For the past five years since its formation, the Project Haystack community has made significant advances in developing and defining an easy-to-use methodology to attach a description and give meaning to all types of data using a simple, extensible data-tagging approach and standard models for common types of equipment systems.

Today I am talking with John Petze, Executive Director and Marc Petock, Secretary of the Project Haystack organization. For those that do not know, yet, Project Haystack is a non-profit, 501(c) organization focused on developing common standards to streamline the interchange of data among today’s smart devices, systems and equipment.

The devices that are making Internet of Things (IoT) a reality such as intelligent building systems, automation systems, metering systems, sensors and smart devices, produce tremendous amounts of data. This data has been very hard to organize and use across different applications because it was stored in many different formats, had inconsistent naming conventions, and very limited data descriptors. In essence, data has lacked information with it to describe its meaning. And, without any description of the data, a time-consuming manual effort is required to determine what the data is and then assign any value to the data.

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