3 Industrial Data Modeling
In the real world, industrial assets — plants, equipment, sensors, and systems — exist within rich layers of organizational context. TDengine IDMP brings that context into the digital world through industrial data modeling: the process of building a structured, searchable catalog of your assets and the data they produce.
This chapter covers everything you need to model your industrial environment in TDengine IDMP, from defining individual assets and their attributes, to contextualizing and standardizing your data, to navigating and searching your asset catalog at scale.
A well-built data model unlocks accurate visualizations, meaningful AI-generated insights, reliable event detection, and effective collaboration across teams.
📄️ Elements
In TDengine IDMP, every physical or logical asset in your industrial environment — a factory, a production line, a machine, or a sensor — is represented as an element. Elements are the foundational building blocks of your asset model, giving raw time-series data a structured home and meaningful context.
📄️ Attributes
Attributes define the measurable properties and characteristics of an element. They are the bridge between the physical behavior of an asset and the data stored in TDengine TSDB — turning raw numbers into named, typed, and unit-aware engineering values.
📄️ Data Contextualization
A column named current in a database table is just a number. It becomes useful only when you know which meter produced it, where that meter is installed, what unit the value is in, and what range is considered normal. Data contextualization is the process of attaching this surrounding knowledge to your data — turning raw measurements into a rich, queryable, AI-ready industrial dataset.
📄️ Data Standardization
Industrial environments often collect data from multiple sources with inconsistent naming, varying units, and different data structures. Without standardization, cross-asset analysis, AI-generated insights, and data aggregation become unreliable or impossible. TDengine IDMP provides several mechanisms to standardize data across your entire asset model.
📄️ Finding Elements and Data
As your asset model grows, quickly locating the right element or attribute becomes essential. TDengine IDMP provides several complementary ways to navigate and search your asset catalog: browsing the asset tree, searching by keyword or filter criteria, saving searches as reusable Element Filters, and bookmarking frequently accessed elements as favorites.
