Parent-Child Configuration Management for Laboratory Systems
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Solution Overview
Problem
Laboratory management systems face challenges in efficiently and flexibly configuring equipment settings for different users or groups while minimizing configuration errors and operational costs.
Innovation Solution
A method and device for managing configuration parameters, allowing for the creation of child sets inheriting parent set values, with conditional propagation of modifications to child sets, enabling centralized management and customization without repeated modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If configuration parameters are customized for each user or group separately, then flexibility and adaptability are improved, but device complexity and risk of configuration errors increase
Solution Approach 1:
The configuration management system is segmented into parent configuration sets and child configuration sets. Each parent set represents a base configuration that can be independently managed, while child sets represent customized configurations for different users or groups. This segmentation allows independent modification of parent configurations without affecting other configurations, reducing overall system complexity while maintaining adaptability.
Solution Approach 2:
The system creates child configuration sets by copying from parent configuration sets. Instead of managing each configuration independently, the system uses template-based copying where a parent set serves as a reusable template. This reduces complexity by eliminating the need to create and maintain identical configurations separately, while still allowing customization through selective modification of copied parameters.
2Ease of operation
If configuration parameters are modified centrally for parent sets, then ease of operation and productivity are improved, but reliability may worsen due to potential propagation of errors to child sets
Solution Approach 1:
The system implements local quality control by allowing selective propagation of configuration changes. When a parent configuration is modified, the system evaluates which child configurations should receive the update based on local conditions such as configuration type, modification timestamp, and dependency relationships. This selective approach maintains ease of centralized management while preventing erroneous propagation to inappropriate child sets, thus preserving reliability.
Solution Approach 2:
The configuration management system incorporates feedback mechanisms that track modifications to parent sets and monitor their propagation to child sets. The system provides feedback information about which child sets have been updated and which have not, allowing operators to verify correct propagation. This feedback loop ensures that centralized modifications are reliably distributed only where appropriate, maintaining both ease of operation and configuration accuracy.
3Adaptability or versatility
If multiple independent configuration sets are maintained for different users, then adaptability is improved, but loss of time and productivity decrease due to repeated modifications
Solution Approach 1:
The system performs preliminary action by pre-configuring parent configuration sets with common parameters that can be reused across multiple user groups. Instead of creating and maintaining identical configurations for each user separately, the parent sets are prepared in advance as reusable templates. This preliminary setup eliminates the need for repeated configuration work when creating new user-specific configurations, significantly reducing time loss while maintaining user-specific adaptability through selective customization.
Solution Approach 2:
Parent configuration sets are designed with universality, serving as multi-functional templates that can be copied and adapted for multiple different user groups or purposes. A single parent configuration can serve as the basis for numerous child configurations across different departments, users, or application scenarios. This universal approach eliminates redundant configuration work while maintaining the ability to customize for specific user needs, thereby improving productivity without sacrificing adaptability.
Data Source
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AI summary
A method is provided for managing a plurality of sets of configuration parameters for laboratory management systems. After being inputted (s10) with a parent set, the method causes a child set or child sets to be created (s20) based on the parent set. This includes causing (s22) the child set to inherit all the parameter values of the parent set, and, thereafter, if a configuration parameter value inherited from the parent set is modified (s24), the child set's configuration parameter whose value has been modified is regarded to as a child-specific parameter. Then, modifying (s30) a configuration parameter value of the parent set causes the value of the corresponding configuration parameter of a child set to be modified if the configuration parameter is not, for that child set, a child-specific parameter. Device and computer programs are also disclosed.