Industrial Data Gateway With Asset Models for Distributed Factory Data
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Solution Overview
Problem
Industrial automation systems face challenges in efficiently collecting, processing, and presenting industrial data due to the highly distributed nature of data across various industrial devices, which requires complex data collection and formatting for meaningful presentations.
Innovation Solution
The system employs a cloud-based industrial data services platform that includes a registration component for storing asset information, an application delivery component for selecting data service applications, a gateway interface for collecting industrial data, and an analytic component for processing data according to the selected applications, using asset models and BIDTs to structure and contextualize the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If industrial data is collected from highly distributed industrial devices, then data coverage and completeness are improved, but data collection complexity and processing difficulty increase
Solution Approach 1:
The patent introduces an intermediary component (data collection service/gateway) that sits between the distributed industrial devices and the processing system. This intermediary standardizes data collection from multiple devices using common protocols, converting heterogeneous device data into a unified format, thereby reducing the complexity of collecting data from highly distributed devices while maintaining comprehensive data coverage.
Solution Approach 2:
The patent segments the data collection process into modular components: device-level data acquisition, gateway-level standardization and formatting, and platform-level aggregation. This segmentation allows each component to handle specific tasks independently, reducing overall system complexity while enabling comprehensive data collection from distributed devices.
2Loss of information
If data is structured and contextualized using asset models and BIDTs, then data presentation quality and insight value are improved, but data processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by pre-defining asset models and BIDT mappings that describe the structure and context of industrial data before actual data processing occurs. These models are established in advance and stored in the system, enabling rapid data contextualization during runtime without requiring complex real-time analysis, thus reducing processing time while maintaining high data presentation quality.
3Adaptability or versatility
If multiple data service applications are made available for industrial assets, then system versatility and user choice are improved, but system complexity and configuration difficulty increase
Solution Approach 1:
The patent implements universality by creating a standardized data service framework where multiple applications can operate on a common data model structure. The asset models and BIDTs provide a universal interface that different data service applications can utilize, allowing the system to support diverse applications (monitoring, analytics, control, etc.) without requiring separate configuration for each, thus reducing configuration complexity while maintaining high versatility.
Data Source
AI summary
A cloud-based industrial data services (IDS) architecture leverage smart tags, asset models, and data service applications to facilitate secure transaction and exchange of contextualized factory data between different parties as part of a combined technology and commerce platform, or to perform provide asset owners with insights into operation of their industrial assets. The IDS platform supports a set of services that connect providers of smart industrial devices to plant floor and systems owned by the end users of these devices. The cloud-based platform allows asset providers to publish data service applications for purchase and use by end users of their assets, and allows equipment owners to control remote access to selected sets of their industrial data via the cloud platform.