Cloud Modeling of Industrial Automation Assets for Remote Optimization
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Solution Overview
Problem
Current industrial automation systems lack an efficient method for generating and managing models of complex industrial environments, particularly in real-time, which hinders remote monitoring, control, and optimization of industrial processes.
Innovation Solution
A cloud-based platform that utilizes a modeler component to create interactive, multi-dimensional models of industrial automation systems, integrating data from various sources, including legacy devices, to facilitate remote monitoring, control, and optimization through a virtualized industrial automation system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cloud-based modeling is implemented for industrial automation systems, then remote monitoring and control capabilities are improved, but system complexity and integration requirements increase
Solution Approach 1:
The patent introduces cloud-based gateway devices as intermediaries between industrial automation devices and the cloud platform. These gateways facilitate data collection, device identification, and model generation without requiring direct complex integration between all system components, thereby enabling remote monitoring while managing system complexity through layered architecture.
Solution Approach 2:
The system is segmented into distinct functional components: cloud gateway devices for data collection, cloud platform for processing, modeler components for model generation, and virtualization components for creating virtual representations. This segmentation allows each component to be developed and maintained independently, reducing overall system integration complexity while enabling comprehensive remote monitoring capabilities.
2Loss of information
If comprehensive device data is collected and modeled in real-time, then decision-making quality is enhanced, but data processing time and computational resources increase
Solution Approach 1:
The patent implements pre-deployed device models that are prepared in advance and stored in the cloud platform. When devices are added or modified, the system compares current device information against these pre-existing models to rapidly generate or update device representations without requiring complete real-time analysis of all device parameters, thus maintaining information completeness while reducing processing time.
Solution Approach 2:
The system creates virtual copies of physical devices through device models that replicate essential device characteristics, behaviors, and relationships. These virtual models enable comprehensive data analysis and decision-making support without requiring continuous processing of raw device data, as the models serve as simplified yet informative representations that can be processed efficiently.
3Loss of information
If multi-dimensional interactive models are created for industrial systems, then system visualization and understanding are improved, but model generation and maintenance complexity increase
Solution Approach 1:
The patent implements a universal device model structure that can represent multiple device types and industrial automation components through a common framework. The modeler component uses standardized templates and schemas that can be applied across different device categories, enabling the creation of multi-dimensional interactive models with high information content while reducing the complexity of model generation through reusability and standardization.
Solution Approach 2:
The device models employ a nested structure where complex industrial automation systems are represented through hierarchical levels of abstraction. Individual device models can be nested within system-level models, which are in turn nested within facility-wide models. This nesting allows comprehensive system representation at multiple scales while managing complexity by allowing users to interact with models at the appropriate level of detail without being overwhelmed by underlying complexity.
Data Source
AI summary
A cloud-based modeler component that generates interactive models of an industrial automation system(s) (IAS(s)) is presented. An interactive model facilitates remote viewing of, interaction with, troubleshooting of problems with, or optimization of industrial assets of an IAS. The modeler component polls industrial assets via cloud gateways to obtain information relating to the industrial assets to identify industrial assets of the IAS and relationships with other industrial assets or can receive information from a communication device that obtains information relating to legacy industrial assets to identify those legacy assets and their relationships. The modeler component generates an interactive model of the industrial assets of the IAS based on the information. The modeler component also can discover new industrial assets added to the IAS, can receive a pre-deployed model of an industrial asset from the industrial asset or another source, and can incorporate the pre-deployed model in the interactive model.


