Configuration Profiles for Fast Reconfiguration of Automated Systems
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Solution Overview
Problem
Automated systems, such as automatic door and window systems, require time-consuming and expensive reconfiguration when control modules are replaced or systems are upgraded, leading to inefficiencies and potential misconfigurations.
Innovation Solution
A method utilizing a database with general configuration data and association data to create distinct profiles, allowing efficient and reliable configuration by sharing common data across different entities, reducing redundancies and enabling seamless updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional configuration methods are used for automated systems, then system functionality can be adjusted, but the process is time-consuming and expensive
Solution Approach 1:
The configuration data is segmented into general configuration data (common to multiple entities) and specific configuration data (entity-specific). This segmentation allows the system to reuse general data across different entities, reducing the time needed for reconfiguration by avoiding redundant data entry and processing.
Solution Approach 2:
The general configuration data serves multiple functions by being applicable to multiple different entities (door systems, window systems, gate systems). This universality reduces the overall configuration time and cost by creating a single source of truth that can be reused across the entire system portfolio.
2Reliability
If control module is replaced or system is upgraded, then system functionality is maintained, but reconfiguration is time-consuming and error-prone
Solution Approach 1:
The system automatically determines which general configuration data needs to be transferred to the new control module by comparing the old and new entity types. This feedback mechanism ensures accurate configuration by systematically identifying relevant data, reducing human error and time consumption during upgrades.
Solution Approach 2:
The system pre-identifies and prepares the relevant general configuration data before the actual reconfiguration process. By determining in advance which data needs to be transferred based on entity type comparisons, the system eliminates last-minute errors and speeds up the reconfiguration process.
3Quantity of substance
If configuration data is stored for each entity separately, then entity-specific settings are preserved, but data volume and redundancy increase
Solution Approach 1:
Configuration data is merged into a centralized database organized by entity types, where general configuration data is stored once and reused across multiple entities. This merging approach reduces data volume and eliminates redundancy while maintaining entity-specific settings through selective data transfer mechanisms.
Data Source
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AI summary
The present invention relates to a method for processing configuration data of a plurality of entities, a method that can interact with it, devices configured to execute the methods, a computer program product and a signal sequence.