Crane Control System Parameter Dependency and Conflict Resolution
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Solution Overview
Problem
Current crane control systems require a cumbersome and time-consuming process for setting up load moment limitation, involving extensive parameter selection and potential conflicts, which increases setup time and costs.
Innovation Solution
The crane control system determines dependencies between input parameters, providing a limited and sensible selection, performs real-time plausibility checks, and allows for immediate conflict resolution, with a user-friendly interface and category-based input to streamline the configuration process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If all possible crane configuration values are listed for operator selection, then complete configuration options are provided, but the setup time increases significantly
Solution Approach 1:
The system continuously monitors entered parameters and provides real-time feedback by highlighting conflicts in yellow and preventing selection of incompatible values. This immediate feedback mechanism guides the operator through the configuration process, reducing setup time by preventing erroneous selections and enabling quick correction of conflicts without requiring complete re-entry of parameters.
Solution Approach 2:
The system pre-calculates and stores all possible crane configurations and their interdependencies in a configuration database. By preparing compatibility information in advance, the system can instantly check and highlight conflicts as parameters are entered, rather than performing complex calculations during setup. This preliminary action significantly reduces the time required for crane configuration.
2Reliability
If parameter conflicts are detected only after complete data entry, then comprehensive validation is achieved, but correction requires re-entering all parameters
Solution Approach 1:
The system implements continuous real-time validation that monitors parameter compatibility as each parameter is entered. When a conflict is detected, the system immediately highlights the problematic parameter in yellow and prevents selection of incompatible values. This ongoing feedback enables operators to correct conflicts locally and immediately, rather than discovering errors only after complete data entry and being forced to re-enter all parameters.
3Adaptability or versatility
If extensive parameter lists are displayed for selection, then all possible values are available, but the interface becomes complex and difficult to navigate
Solution Approach 1:
The system extracts and highlights only the relevant subset of parameter values based on already entered parameters and detected conflicts. Instead of displaying all possible values for each parameter, the interface dynamically filters and emphasizes only those values that are compatible with current selections, marked with a star symbol. This extraction approach maintains adaptability while dramatically improving ease of operation by reducing visual complexity.
Data Source
Figure 1
Figure 2a~2b
Figure 2c~2d
AI summary
The system has a display unit (10) and an input unit for displaying and inputting crane operation-type information according to a current mechanical structure of a crane, where the information is required for limiting a load moment and/or controlling the crane. A logic unit determines application and/or outfitting related dependencies between input parameters (52, 54). The logic unit is designed such that selection of the parameters to be filled out is generated and a plausibility check is performed between the parameters based on the determined dependencies. The input parameters are selected from a luffing jib parameter (53) and an excavator boom defining parameter (51).