Remote Asset Support Using Mapping Hierarchies for Multi-Protocol Plants
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Solution Overview
Problem
Industrial automation systems face challenges in data analysis and communication due to diverse automation devices using varying protocols, leading to inefficiencies in diagnosing service issues and network congestion.
Innovation Solution
A system that generates a mapping hierarchy and maintenance workflow using asset models, operational data, and customer data to facilitate data analysis and secure data transmission across networks, enabling efficient data sharing and context-aware communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If diverse automation devices use varying communication protocols, then device compatibility and adaptability are improved, but data analysis complexity and network congestion increase
Solution Approach 1:
The patent introduces a cloud-based platform that acts as an intermediary between diverse automation devices and the remote support system. This platform receives data from devices using various protocols, standardizes it into a common format, and then processes it uniformly. The intermediary layer enables multi-protocol device compatibility while maintaining simple, standardized data processing workflows, thereby resolving the contradiction between adaptability and complexity.
2Adaptability or versatility
If diverse automation devices use varying communication protocols, then device compatibility and adaptability are improved, but network congestion increases
Solution Approach 1:
The patent segments the data collection and processing architecture into two distinct layers: a distributed data collection layer that interfaces with diverse devices using their native protocols, and a centralized cloud-based processing layer that handles data standardization and analysis. This segmentation allows local devices to transmit data efficiently without protocol conversion overhead, while the cloud platform processes standardized data batches, thereby reducing network congestion while maintaining device compatibility.
3Measurement precision
If comprehensive asset data is collected for accurate diagnosis, then diagnostic accuracy is improved, but data transmission time and network load increase
Solution Approach 1:
The patent implements preliminary data processing and filtering at the cloud platform before full diagnostic analysis. The system performs initial data validation, anomaly detection, and prioritization of critical parameters, then transmits only the essential processed data to remote support personnel. This preliminary action ensures comprehensive diagnostic information is available while minimizing the volume and transmission time of data sent over the network.
Data Source
AI summary
A non-transitory computer-readable medium includes computer-executable instructions that, when executed, cause one or more processors of a first electronic device to perform operations including sending a request for asset data associated with an asset and receiving a set of telemetry data, a set of operational data, a set of inventory data, and a set of customer data associated with the asset. In the embodiment, the method includes selecting an asset model from a set of asset models associated with the asset based on the set of telemetry data, the set of operational data, the set of inventory data, and the set of customer data, wherein each asset model of the set of asset models corresponds to a particular task performed by the asset and generating a mapping hierarchy based on the selected asset model, wherein the mapping hierarchy includes a representation of a plant layout associated with the asset.