Commercial dishwasher and method for operating a commercial dishwasher
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Solution Overview
Problem
Conventional dishwashers lack the ability to automatically differentiate between types of items being washed, leading to inefficient resource use and suboptimal cleaning results due to the reliance on factory-preset programs, which often result in overuse of resources or inadequate cleaning for different classes of items.
Innovation Solution
A commercial dishwasher equipped with a camera system and evaluation device that learns user behavior through machine learning to adapt treatment parameters based on the type and quantity of items being washed, optimizing resource use and cleaning efficiency without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If factory-preset programs are used for washing, then the dishwasher can operate with simple control, but resource consumption increases and cleaning efficiency decreases
Solution Approach 1:
The dishwasher system performs self-diagnosis and self-adjustment by automatically detecting the type and amount of tableware loaded, then autonomously selects appropriate washing programs and adjusts parameters without user intervention. The control unit processes detection signals from sensors to determine tableware categories and automatically configures washing parameters, enabling the system to serve itself rather than relying on factory-preset programs or manual user selection.
Solution Approach 2:
The system incorporates detection devices that continuously monitor the washing chamber to identify tableware types and quantities. The control unit receives feedback from these detectors and dynamically adjusts washing program selection and parameters based on the detected tableware characteristics, creating a closed-loop control system that optimizes resource consumption according to actual loading conditions.
2Device complexity
If factory-preset programs are used for washing, then the dishwasher structure remains simple, but cleaning precision deteriorates
Solution Approach 1:
The dishwasher system performs self-diagnosis and self-adjustment by automatically detecting the type and amount of tableware loaded, then autonomously selects appropriate washing programs and adjusts parameters without user intervention. The control unit processes detection signals from sensors to determine tableware categories and automatically configures washing parameters, enabling the system to serve itself rather than relying on factory-preset programs or manual user selection.
Solution Approach 2:
The system dynamically adjusts washing parameters such as water temperature, spray pressure, washing duration, and chemical dosage based on the detected tableware type and quantity. The control unit modifies these parameters in real-time to match the specific cleaning requirements of different tableware categories, thereby achieving high cleaning precision without requiring a complex manual intervention system.
3Loss of energy
If manual program selection is required, then resource consumption can be optimized, but ease of operation deteriorates
Solution Approach 1:
The dishwasher system performs self-diagnosis and self-adjustment by automatically detecting the type and amount of tableware loaded, then autonomously selects appropriate washing programs and adjusts parameters without user intervention. The control unit processes detection signals from sensors to determine tableware categories and automatically configures washing parameters, enabling the system to serve itself rather than relying on factory-preset programs or manual user selection.
Solution Approach 2:
The system incorporates detection devices that continuously monitor the washing chamber to identify tableware types and quantities. The control unit receives feedback from these detectors and dynamically adjusts washing program selection and parameters based on the detected tableware characteristics, creating a closed-loop control system that optimizes resource consumption according to actual loading conditions.
4Device complexity
If generic washing programs are used, then device complexity remains low, but productivity decreases
Solution Approach 1:
The dishwasher system performs self-diagnosis and self-adjustment by automatically detecting the type and amount of tableware loaded, then autonomously selects appropriate washing programs and adjusts parameters without user intervention. The control unit processes detection signals from sensors to determine tableware categories and automatically configures washing parameters, enabling the system to serve itself rather than relying on factory-preset programs or manual user selection.
Solution Approach 2:
The system dynamically adjusts washing parameters such as water temperature, spray pressure, washing duration, and chemical dosage based on the detected tableware type and quantity. The control unit modifies these parameters in real-time to match the specific cleaning requirements of different tableware categories, thereby achieving high cleaning precision without requiring a complex manual intervention system.
Data Source
Figure 1
Figure 2
AI summary
The invention relates to a commercial dishwasher (1) with at least one washing system for washing items, at least one rinsing system for rinsing the washed items, and optionally a drying system for optimally drying the rinsed items. The dishwasher (1) has a camera system (34) configured to capture at least one image of the items to be processed in the dishwasher (1). Furthermore, an evaluation unit is provided, which is configured, in particular during a profiling process, to create a pattern relating to the usage patterns of the operator of the dishwasher (1) over time based on the captured images.