Operating System State Assessment Using Process Key Figures
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Solution Overview
Problem
Conventional system diagnostics fail to provide quick and easy assessments of the current status of a system in operation, limiting the ability to analyze process engineering processes effectively.
Innovation Solution
A method that acquires data on faults, process time, and media/energy consumption to determine a process key figure, which indicates the system's current state, allowing for automatic decision-making on maintenance and troubleshooting through sensors and a control device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional system diagnostics are used, then the system structure remains simple, but the ability to provide quick and easy status assessments is insufficient
Solution Approach 1:
The diagnostic system is segmented into multiple independent data acquisition modules that collect different types of data (fault data, process time data, media consumption data, energy consumption data) separately. Each module operates independently but contributes to the overall process key figure calculation, enabling comprehensive monitoring without requiring a monolithic complex system
Solution Approach 2:
The system uses a universal process key figure metric that can evaluate multiple aspects of system performance (quality, efficiency, reliability) through a single standardized measurement. This multi-functional approach allows the same diagnostic infrastructure to assess various system states without requiring separate specialized diagnostic systems for each parameter
2Measurement precision
If comprehensive data acquisition is implemented to improve system monitoring, then measurement precision increases, but device complexity increases
Solution Approach 1:
Multiple data acquisition functions (fault detection, process time measurement, media consumption monitoring, energy consumption tracking) are merged into a single integrated data collection infrastructure. The system combines these diverse data streams and processes them together through a unified evaluation methodology, achieving comprehensive monitoring while avoiding the complexity of multiple separate systems
Solution Approach 2:
The system transforms various physical parameters (fault frequencies, process times, media flows, energy consumption) into a standardized dimensionless process key figure metric. This parameter transformation allows diverse measurements to be precisely evaluated and compared on a common scale, improving measurement precision across different system aspects
Data Source
Figure 1~2
AI summary
The invention relates to a method for automatically determining the current state of an operating system. The method comprises: acquiring (1) first data concerning one or more malfunctions in the system during a process, acquiring (2) second data concerning the process time in the system during the process, acquiring (3) third data concerning media and energy consumption in the system during the process, and determining (4) a process parameter based on the first, second, and third data. The invention further relates to a device for automatically determining the current state of an operating system, wherein the device is configured to execute the method.