Richmond, VA – October 22, 2018 – Project Haystack (www.project-haystack.org), a 501(c) non-profit organization focused on developing common standards to streamline the interchange and interoperability of data among IoT devices, smart equipment and systems, has announced the dates and venue for their fourth, biennial Haystack Connect Conference.
Haystack Connect 2019 will take place May 13-15, 2019 at Paradise Point Resort & Spa in San Diego, California. Haystack Connect provides a unique, open-forum for professionals involved in automation, control and the Internet of Things to learn and share the latest technologies and techniques for connecting systems and utilizing device data in applications including intelligent buildings, energy management, remote monitoring, and other IoT devices and applications.
Attendees include the community of Project Haystack supporters encompassing engineers, developers and other professionals from leading technology suppliers, system integrators and service firms who come together to further advance the state-of-the-art of managing, presenting and analyzing the vast amounts of data generated by today’s IoT devices, smart equipment and systems.
The two-and-a-half-day long conference includes keynote presentations, a vendor exhibition hall, and a packed schedule of technical sessions covering data acquisition, communications, protocol translation, data visualization, analytics, data semantics, modeling and security—all critical technologies essential to using operational data to drive improved performance. More information about Haystack Connect is available at www.haystackconnect.org.
About Project Haystack
Since its formation in 2011, the Project Haystack Organization has grown tremendously providing the industry with an open-source, collaborative environment where people and companies work together to address the challenge of utilizing semantic modeling to streamline the interchange of device data among software applications. The devices that make up the Internet of Things—automation systems, metering systems, sensors and smart devices—produce tremendous amounts of data. This data is very hard to organize and use across different applications because it is stored in many different formats, has inconsistent naming conventions, and very limited data descriptors. In essence, data lacks information to describe its meaning. Without meaning, a time-consuming manual effort is required before value can be derived from the data.
To address this challenge, the Project Haystack community has defined an easy-to-use methodology to describe the meaning of data using a simple, extensible data-tagging approach and standard models for common equipment systems. The community-developed material includes detailed documentation describing the data modeling techniques, significant libraries of equipment models, and software reference implementations allowing software applications to easily consume smart device data that is marked up with “Haystack Tags”. These data descriptors allow software applications to automatically consume, interpret, analyze and present data from IoT devices, smart equipment and systems.
Additional information on Project Haystack can be found at www.project-haystack.org.
Project Haystack Organization
2019 Haystack Connect