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Project-Haystack Organization Adds New Associate Members
RICHMOND, VA - The Project-Haystack
Organization, a collaborative community addressing the challenge of
utilizing semantic modeling and tagging to streamline the interchange
of data among different systems and software applications in order to
lower the cost of intelligent building solutions and IoT, today
announced the addition of three new Associate Member companies.
The new members are:
BUENO, the Australian leader in data and
information driven operational property services. BUENO delivers
superior data related and technology driven services based on fault
detection, optimization and business intelligence that simplify their
clients operations and enhance their effectiveness across all building
sectors and building information systems.
Grosvenor Engineering Group, a leading
Australian provider of intelligent hard technical services, design and
construction solutions delivered via a unique data driven approach to
asset maintenance and life cycle management. The ultimate aim is
to add value to buildings by making them safer, comfortable, and more
productive and energy efficient at the lowest cost possible.
Intelligent Buildings, LLC, a nationally
recognized smart real estate advisory services company providing
planning and implementation of next generation strategy for new
buildings, existing portfolios and smart communities. Their work
includes “The Smartest Building in America”, the largest energy
analytics project in North America, the smart buildings standards for
the U.S. and Canadian governments, conception and management of a
Clinton Global Initiative and the recently released Intelligent
Buildings CyberSafe services.
These new companies join founding member
companies Airmaster, J2 Innovations, Lynxspring, Siemens, SkyFoundry,
Wattstopper and Yardi/Enerliance.
its formation in March of 2011, The Project-Haystack organization (a
501(c) non-profit trade association) has grown tremendously
providing the industry with an open-source, collaborative environment
where people work together to address the challenge of utilizing
semantic modeling (also known as tagging) to make data self-describing
thereby streamlining the interchange of data among software
applications. The community has developed a flexible, extensible, data
modeling approach and standard models for common equipment systems. The
standard includes detailed documentation describing the data
modeling techniques, significant libraries of consensus approved
equipment models, and software reference implementations to
easily enable software applications to consume smart device data that
is "marked up" with Project-Haystack data descriptions. The work
developed by the Project-Haystack community streamlines the
process of managing, presenting and analyzing the vast amount of data
produced by smart devices and equipment systems and the techniques can
be used with virtually any type of system data. The community’s work
not tied to any vendor, or communication protocol.
More information on Project-Haystack can be found at: www.project-haystack.org
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