Thanks to the community support, Haystack Connect 2017 has a full schedule of Keynote Speakers, Industry Presentations, Panel Discussions and Technical Sessions to bring everyone up-to-date on the latest trends and technologies.
In virtually every occupation, one could possibly benefit from data, analytics, and tagging. In this session, the focus will obviously be on tagging. Specifically, this presentation will discuss how tagging and math go hand-in-hand. A tag is a fact about something. Records are used to model things. Many at Haystack Connect this year model energy in their lines of work. By calling a point power or energy, one knows its mathematical place. Its data can be added, subtracted, multiplied, or divided with certain other numerical values of the appropriate units. Moreover, far more sophisticated things can be done: energy can be converted to power and power to energy by the use of calculus. Similarly, something with a temp tag can be converted to a temperature’s rate of change and instantly, those numbers are useful thanks to the meanings supplied by tagging.
Other wondrous mathematical things can be done as well. Most of the data people get for analytics is of the form: timestamp, value pair. When data is presented in this form, it is called the time domain. If known what the data is and its datatype, the whole table can be converted into the frequency domain which has useful meanings as well and can be considered a footprint and allow different buildings to be compared. Fourier analysis does this. Without even knowing it, many who already use tagging are dependent on it from the simplest addition to the most complicated such as computational fluid dynamics. It is amazing how tagging initiatives have made things possible that the originators had not even considered.
In this session we will explore concepts and examples including how tagging affects basic project setup all the way through some advanced math. Due to the implied meanings of various tags provided by the Project Haystack ontology, all of these mathematical operations can be easily done, but more importantly, their meanings can be easily understood.