Server Platform Integrating Plant Floor Assets via Universal Taxonomy
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Solution Overview
Problem
Manufacturers face challenges in integrating diverse plant floor equipment data with computerized management systems due to differences in data measurement cycles, vendor-specific codes, and the absence of a universal standard, leading to scattered information and difficulty in making optimal operational and maintenance decisions.
Innovation Solution
A server platform that uses open standards to integrate diverse plant floor equipment with computerized management systems by establishing communication links, discovering and mapping device and management objects to universal identifiers, and employing a message translator to broker communication across the platform, enabling a universal enterprise taxonomy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If diverse plant floor equipment and CM systems use their own vendor-specific codes and data formats, then each system can operate independently with its own standards, but integration between systems becomes difficult and information remains scattered across disconnected silos
Solution Approach 1:
The patent introduces a message translator as an intermediary component that sits between plant floor equipment and CM systems. This translator converts vendor-specific codes and data formats into a universal standardized format, enabling integration without requiring changes to the original independent systems. The message translator acts as a mediator that resolves the conflict between system independence and integration needs.
Solution Approach 2:
The patent implements a universal enterprise taxonomy that provides a common language and standardized data format applicable across all plant floor equipment and CM systems. This universal standard enables multiple different systems to communicate effectively while maintaining their individual operational independence, solving the contradiction between versatility and integration complexity.
2Measurement precision
If real-time control system data, maintenance cycle data, and financial cycle data are collected separately in their own measurement cycles, then each data type can be captured with its specific timing requirements, but the data remains scattered and difficult to integrate for holistic decision-making
Solution Approach 1:
The patent merges data from multiple measurement cycles (real-time control, maintenance cycles, financial cycles) into a unified data structure using the universal enterprise taxonomy. The system correlates data points across different time scales and measurement frequencies, combining them into an integrated view that preserves the timing accuracy of each source while enabling holistic analysis.
Solution Approach 2:
The message translator serves as an intermediary that receives data from various measurement cycles with different timing requirements and translates them into a common temporal framework. This allows the system to maintain the precision of each measurement cycle while integrating the data for comprehensive decision-making.
3Productivity
If manufacturers implement multiple separate performance management solutions for operations, maintenance, and finance divisions, then each division can track its own metrics, but optimal decisions become difficult to make due to lack of integrated visibility
Solution Approach 1:
The universal enterprise taxonomy provides a multi-functional framework that can track and report on operations, maintenance, and finance metrics simultaneously. This single integrated framework enables divisional performance tracking while providing the cross-functional visibility needed for optimal decision-making, eliminating the need for separate siloed systems.
Solution Approach 2:
The integrated system provides feedback loops that connect operations, maintenance, and finance data, enabling decision-makers to see the impact of operational decisions on maintenance requirements and financial outcomes. This feedback mechanism improves decision-making efficiency by providing holistic visibility while maintaining divisional performance tracking capabilities.
Data Source
AI summary
A server platform and a method to integrate a plurality of diverse plant floor equipment with at least one computerized management system in a manufacturing operational or maintenance system. The server platform includes a plurality of plant floor drivers adapted to communicatively interface with a plurality of diverse plant floor data sources. The server platform further includes at least one computerized management system driver adapted to communicatively interface with the at least one computerized management system. The server platform also includes a message translator adapted to broker communication between the plant floor data sources and the at least one computerized management system using an open standard. The server platform, using the open standard, enables a universal enterprise type taxonomy across the plant floor data sources and the at least one computerized management system.