Project Haystack standardizes 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.
Project Haystack encompasses the entire value chain of building systems and related intelligent devices. Owners and consultants can specify that Haystack conventions are used in their building automation systems to ensure cost effective analytics and management of their buildings for years to come.
System integrators and manufacturers who integrate Haystack support into their projects and products are better positioned for the future of providing value-added services.
Project Haystack is a 501C tax-exempt non-stock corporation formed May 28, 2014 under the provisions of Chapter 10 of Title 13.1 of the Code of Virginia of 1950. All work developed by the project-haystack.org community is provided for use as open source software.
QuadReal runs 60 properties on one cloud platform, with a centralized offsite tech team quarterbacking site staff through prioritized alarms built for non-FM readers.
Hannah Baker, engineer at Willow, walks through how DFW Airport built a CBM program that actually stuck, from training a non-technical QA team to triage thousands of faults, to graduating recurring issues into automated work orders, to tracking a single KPI called 'unsuccessfully actioned' that finally gave leadership visibility into whether closed work orders were actually fixing the problem.
Jose de Castro, CTO of Mapped, shows how one of the world's largest retailers moved restroom operations from schedule-based janitorial rounds to condition-based workflows by combining foot traffic sensors, flush counts, soap levels, and occupancy predictions into AI-summarized work orders that land directly in the existing CMMS, with no new dashboards or tools for technicians to learn.
Brad Dameron from the University of Iowa's Asset Optimization Team and Katie Rossman from Clockworks Analytics walk through how Iowa handles 3,500 faults per day without burying their maintenance shops, showing the exact triage, routing, and closeout workflow they built to turn fault detection into planned work orders that look and feel identical to every other work order in the system.
Tearle Whitson, VP of OT at Metronational and a 26-year facilities veteran, digs into the infrastructure layer that makes or breaks CBM programs—explaining why bad sensor data, uncalibrated instruments, and communication failures will undermine your fault detection before you ever get to triage, and how to build the 'building DNA' foundation that everything else depends on.
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