Glossary

Time series data sets which represent different types of values measured by sensors (for example, temperature or weight). A data record consists of a tag and multiple datapoints, each comprised of a timestamp and a measurement.

The material account into which materials moved. It designates the start of a Feed Chain.

ThinkIQ Product offering that uses advanced AI and ML to enable a material-centric view of operations.

ThinkIQ Product offering which takes your data — standardized and contextualized — and can aggregate and correlate it to your most important metrics.

The ThinkIQ Vision product offering generates big data where none exists, leveraging cameras and machine vision. 

ThinkIQ product offering level that moves companies past raw data to being able to explore, compare, and contextualize data from disparate systems all on one screen.

Data values that vary over time; often sensor or calculated data. Time series data is stored in the ThinkIQ Time Series Database. Each value in time is stored as a triple consisting of Value, Time and Status (a.k.a Quality).

Motivated by legacy processs historians and inspired by emerging stores for data center data, the ThinkIQ Time Series Database is a hyper-scale store specificically designed for Time Series Data.

An application that charts time series data in graphs and charts.

A type is used to define the characteristics and behavior of the data for specific objects. Types allow a user to define characteristics and behavior of an object once, then reuse the type on all instances of the same object. See also Introduction to Modeling