Engineering System Data Individualization Layer
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Solution Overview
Problem
Existing methods for controlling device and machine module arrangements require extensive reconfiguration and modification when deviations occur in the actual setup, necessitating repeated use of the engineering system and significant operational effort, often beyond the capabilities of local operators.
Innovation Solution
Implementing an engineering system that assigns attributes to data input possibilities for basic data, allowing for individualization in the runtime system, creating an adjustable layer for modifications without altering the core project, enabling local adaptations without reprogramming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the project is modified to adapt to deviations in the actual device and machine module arrangement, then the adaptability is improved, but the device complexity and operational effort increase due to repeated engineering system deployment
Solution Approach 1:
The patent segments the project data into two categories: unmodifiable basic data and individualizable data. This segmentation allows the core project structure to remain intact while permitting selective modifications to specific data elements, thereby improving adaptability without increasing overall system complexity.
Solution Approach 2:
The patent introduces dynamic characteristics to the project data by allowing certain data inputs to be modified in the runtime system based on actual device conditions. This dynamic approach enables the system to adapt to deviations without requiring complete reconfiguration, reducing operational complexity.
2Adaptability or versatility
If the engineering system is deployed repeatedly to modify the project for local adaptations, then the adaptability is improved, but the loss of time and productivity decrease due to repeated configuration efforts
Solution Approach 1:
The patent performs preliminary action by pre-defining which data inputs are individualizable during project creation in the engineering system. This preparation allows local operators to make necessary adaptations directly in the runtime system without requiring repeated engineering system deployment, significantly reducing time loss.
Solution Approach 2:
The patent enables self-service by allowing local operators to modify individualizable data inputs directly in the runtime system without needing the engineering system or specialized programming knowledge. This self-service capability eliminates repeated configuration efforts and restores productivity.
3Manufacturing precision
If all basic data is determined during engineering, then the manufacturing precision is improved, but the ease of operation decreases when local adaptations are needed
Solution Approach 1:
The patent applies local quality by distinguishing between different types of data inputs within the project. Core basic data maintains high precision and remains unmodifiable, while specific individualizable data inputs are marked for potential modification. This localized approach preserves manufacturing precision for critical data while enabling ease of operation for adaptable parameters.
Data Source
AI summary
There is described an engineering systems and generating projects. The projects are used by runtime systems for the control of device and machine modular arrangements. The projects are not completely unmodifiable, instead an individualization layer is provided: particular data input possibilities for base data used by the runtime system are provided with an attribute, which gives whether the data entry in the project shall be unmodifiable or whether said entry may be optionally modifiable by the runtime system. A change is correspondingly optionally carried out with the runtime system. The actual core of the project, however does not need to be re-programmed such that a reversion to the engineering system is not necessary.