QA Graphics Launches Vectortology The Industry’s First Haystack Aligned Vector Ontology for Building Automation Systems Graphics
QA Graphics announces the launch of Vectortology, a Haystack aligned vector ontology for Building Automation Systems graphics that connects semantic building data directly to standardized vector symbols enabling predictable and scalable graphics workflows.
QA Graphics announced the launch of Vectortology, the building automation industry’s first Haystack aligned vector symbol ontology designed specifically for Building Automation Systems BAS graphics workflows. Vectortology embeds semantic metadata directly into vector symbols to create a standardized connection between BAS databases and graphical user interfaces.
PROGRAM STATUS
Vectortology is released as Beta Version 1 and is already deployed across QA Graphics production vector symbol libraries. Beta v1 aligns with current Project Haystack semantic tag models. QA Graphics will continue developing the ontology to maintain compatibility with future Haystack standards including planned updates for Haystack 5 when finalized.
For decades BAS graphics have existed as visual representations loosely tied to building databases. Those graphics lacked semantic meaning limiting scalability automation and system standardization. Vectortology solves this by embedding metadata into vector assets so symbols behave as data aware objects tied to equipment models point definitions animation states and naming conventions.
The QA Graphics Vector Symbol Library containing thousands of ready to use HVAC mechanical plumbing and control symbols now serves as the delivery platform for Vectortology.
FROM ARTWORK TO SEMANTIC GRAPHICS
Vectortology transforms conventional illustrations into structured system components aligned with BAS data models. Each symbol carries equipment classification based on Haystack semantics point slot mappings for status command and alarm orientation logic to support automated template placement defined animation states mapped to operational behavior ontology based naming compatible with legacy or custom naming schemes and searchable semantic attributes for cataloging and retrieval.
This structure enables predictable database driven workflows where graphics are generated from building models rather than manually drawn one screen at a time.
VENDOR NEUTRAL PLATFORM AGNOSTIC AND FLEXIBLE
Vectortology supports cross platform deployment across major BAS environments including Niagara N4 Johnson Controls MUI Schneider Electric EcoStruxure Trane Tracer Reflow and custom user interface platforms. Because symbols remain vector native and hardware agnostic customers retain long term flexibility of platform choice.
The ontology framework supports native Haystack tagging existing customer naming conventions or hybrid transitional naming models enabling semantic adoption without disrupting workflows or requiring database restructuring.
ENABLING DETERMINISTIC GRAPHICS AUTOMATION
Automation without structure is unreliable said Dan McCarty Owner of QA Graphics. Vectortology delivers the semantic alignment between building datasets and graphics that BAS automation workflows require. With deterministic automation data inputs always produce consistent visual outputs avoiding errors and accelerating deployment.
PROVEN THROUGH REAL WORLD BAS EXPERIENCE
Vectortology builds on nearly two decades of QA Graphics deployment experience across healthcare education government manufacturing and data center BAS environments. It reflects real world engineering requirements derived from thousands of projects rather than speculative theory.
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