Control Software Update Parameters for Faster Machine Reconfiguration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing software update methods for control devices in industrial machines require manual or file-based parameter setting, which is time-consuming and burdensome, and can lead to unintended changes in device performance.
Innovation Solution
A control device with a recommended parameter creating unit that generates new setting parameters based on new software information, allowing operators to select and customize settings efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual parameter setting is performed by the operator, then the parameters can be customized according to specific needs, but the operator burden and time consumption increase significantly
Solution Approach 1:
The control device automatically creates recommended parameters in advance based on software version information before the operator needs to set them. This preliminary generation of parameter candidates eliminates the need for operators to manually input each parameter from scratch, significantly reducing setting time while maintaining customization options through subsequent selection and modification.
Solution Approach 2:
The patent introduces an intermediate layer of recommended parameters that serve as a bridge between automatic parameter generation and manual parameter setting. These recommended parameters are generated based on software information and can be selectively accepted or modified by the operator, thus mediating between full automation and complete manual control to optimize both efficiency and adaptability.
2Loss of time
If predetermined parameter files are used for update, then the setting time is reduced, but unintended changes in device performance occur
Solution Approach 1:
Instead of applying all parameters from a predetermined file uniformly, the system generates multiple recommended parameters with different degrees of conservatism. The operator can select only the necessary changes rather than accepting all parameter modifications, thus applying partial action to avoid unintended performance changes while still benefiting from reduced setting time compared to manual input.
Solution Approach 2:
The system provides feedback to the operator by presenting recommended parameters with information about what will change. This allows the operator to review and selectively accept or reject specific parameter changes, creating a feedback loop that ensures device performance changes are intentional and controlled rather than unintended side effects of bulk parameter application.
3Adaptability or versatility
If the control device has more functions, then the capability and versatility improve, but the number of parameters to be set increases
Solution Approach 1:
When new software with additional functions is installed, the control device automatically generates recommended parameters in advance for all new and modified functions. This preliminary generation handles the complexity of multiple parameters systematically, allowing the operator to review and select from organized parameter candidates rather than facing an overwhelming number of manual input fields, thus managing device complexity while maintaining enhanced functionality.
Data Source
AI summary
A control device having the function of creating new setting parameters, which are candidates of a parameter to be applied when updating old software to new software, is provided with a software information storage unit, a recommended parameter creating unit, and a parameter storage unit, wherein the software information storage unit acquires and stores, from a storage medium, new software including new item information and candidate value information relating to the parameter, the recommended parameter creating unit creates new recommended parameters on the basis of the new item information and the candidate value information, and the parameter storage unit stores one of the new recommended parameters selected by an operator as a new setting parameter.


