Combination Weighing Device Restart Parameter Management
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Solution Overview
Problem
The combination weighing device faces efficiency issues during restarts due to changes in the conveying unit's state after cleaning or replacement, leading to unsuitable control parameters and decreased work efficiency.
Innovation Solution
Incorporating a learning unit that updates and stores parameters for the conveying units, allowing the controller to switch to a restart parameter set specifically for the new state, ensuring efficient operation post-restart by adapting to changes in the conveying unit's characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the conveying unit is cleaned or replaced after temporary suspension, then the state of the conveying unit changes (improving cleanliness or functionality), but the control parameters become unsuitable for the new state, decreasing work efficiency
Solution Approach 1:
The system performs preliminary action by storing multiple sets of control parameters in advance, each corresponding to different states of the conveying unit (cleaned, replaced, normal operation). When a state change occurs, the controller automatically selects and applies the pre-stored parameter set that matches the new state, eliminating the need for manual parameter adjustment and maintaining high work efficiency.
Solution Approach 2:
The control parameter selection is made dynamic rather than static. The controller detects changes in the conveying unit state and dynamically switches between different parameter sets stored in memory. This dynamic adaptation ensures that the control parameters always match the current state of the conveying unit, preventing efficiency loss after cleaning or replacement operations.
2Device complexity
If the control parameters are not updated after cleaning or replacement, then the device structure remains simple, but the control becomes unsuitable for the new state, reducing productivity
Solution Approach 1:
The system implements self-service by automatically detecting changes in the conveying unit state and autonomously selecting the appropriate control parameters from stored sets. The controller monitors the system state and performs parameter switching without requiring external intervention or complex manual adjustment mechanisms, thereby maintaining simplicity while ensuring optimal control.
Solution Approach 2:
The invention applies parameter changes by storing multiple sets of control parameters with different values and characteristics. When the conveying unit state changes (cleaned or replaced), the controller switches to a different parameter set that is optimized for that specific state. This allows the system to adapt to state changes without increasing structural complexity, as the adaptation is achieved through software-based parameter selection rather than hardware modifications.
Data Source
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AI summary
A combination weighing device 1 includes a plurality of conveying units 4, a weighing unit 11, a controller 20, a learning unit 24 that updates parameters for setting operations of the conveying units 4 by learning, and a storage unit 22 that stores at least some parameters among the parameters updated by the learning unit 24, wherein in a case in which work of the device is temporarily suspended and then restarted, a controller 26 sets, for the conveying units 4, a restart parameter corresponding to a different parameter from a setting parameter set for an operation of the conveying units 4 immediately before temporary suspension among the parameters stored in the storage unit 22 to cause an operation.