Industrial Automation Maintenance Prioritization via Gateway-Cloud Analytics
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Solution Overview
Problem
Industrial automation systems face challenges in efficiently managing and maintaining equipment due to the lack of effective communication and data sharing between devices, leading to suboptimal operations and maintenance processes.
Innovation Solution
A tri-partite communication paradigm that enables efficient information exchange between industrial automation equipment, computing devices, and cloud-based systems, allowing for real-time data analysis and generation of reports and recommendations for maintenance and operation optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional isolated equipment operation is maintained, then device complexity is reduced, but information sharing and maintenance efficiency deteriorate
Solution Approach 1:
The system segments information management by creating distinct layers: equipment-level data collection, gateway-level data translation and filtering, and cloud-level analytics. This segmentation allows information sharing without requiring all devices to have equal communication capabilities, thus reducing overall system complexity while improving information availability.
Solution Approach 2:
The patent introduces gateway devices as intermediaries between equipment and cloud systems. These gateways translate proprietary equipment protocols into standardized communication formats, enabling information sharing without direct complex connections between all devices. The intermediary handles protocol conversion and data preprocessing, reducing the communication burden on individual equipment.
2Productivity
If real-time data collection from all equipment is implemented, then operational insights are improved, but system resource consumption increases
Solution Approach 1:
The system implements partial data collection by prioritizing critical equipment and parameters. Not all equipment generates data at the same rate or with the same priority. The gateway and cloud system selectively collect and process data based on equipment criticality, operational context, and maintenance urgency, reducing overall resource consumption while maintaining effective maintenance oversight.
Solution Approach 2:
Equipment and gateways perform local data preprocessing and filtering before transmitting to the cloud. Critical thresholds are monitored locally, and only anomaly data or aggregated statistics are transmitted remotely. This self-service approach reduces network traffic and cloud processing requirements, lowering system resource consumption while maintaining maintenance effectiveness.
3Reliability
If comprehensive equipment monitoring is implemented, then equipment reliability is improved, but system complexity increases
Solution Approach 1:
The patent moves monitoring complexity from the equipment dimension to the cloud dimension. Individual equipment remains relatively simple, while the cloud-based platform consolidates the complexity of data aggregation, analysis, and predictive modeling. This dimensional shift allows comprehensive monitoring without making individual devices overly complex.
Solution Approach 2:
The cloud-based platform serves multiple functions: data collection, storage, analysis, predictive maintenance modeling, and user interface provision. By consolidating these functions in a universal platform rather than distributing them across individual devices, the system achieves comprehensive monitoring while keeping individual equipment components simpler and more reliable.
Data Source
AI summary
A method for generating a report regarding prioritizations of industrial automation devices in an industrial system may include determining a first score for each of the industrial automation devices. The first score represents a relative importance of each of the industrial automation devices. The method may also include determining a second score for each of one or more parts of each of the industrial automation devices. The second score represents a relative importance of each of the parts with respect to each other. The method may also include generating the report comprising the parts, the industrial automation devices, the first score for each of the industrial automation devices, the second score for each of the parts, or any combination thereof, wherein the report is organized according to the first score, the second score, or based on a combination of the first score and the second score.