Macro trends in technology are making it increasingly cost effective to instrument and collect data about the operations and energy usage of buildings. We are now awash in data and the new problem is how to make sense of it. Today most operational data has poor semantic modelling and requires a manual, labour intensive process to “map” the data before value creation can begin. Pragmatic use of naming conventions and taxonomies can make it more cost effective to analyse, visualize, and derive value from our operational data.
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Instead of every project being configured with data references that are different for each sub-system and building, adoption of the Haystack standard for automation systems will enable buildings to share data in a uniform way. The principle benefit is that application software can automatically digest the data required to manage or analyse without requiring time consuming data integration for each project. The recently announced version 4.0 of the Haystack standard, now includes additional data modelling features, so that it provides an even more comprehensive solution for the needs of those designing and operating smart buildings.
Additionally, as Haystack is not just a set of tag definitions but also a protocol, the process of integrating multiple systems can be simplified since the Haystack protocol is “richer” than BACnet standard. The ASHRAE organisation, who manage the BACnet standard, recognizes the value of tagging, and is currently engaged in formal discussions with Project Haystack to explore how Haystack definitions can be included in future versions of the BACnet standard.