Adaptive Bottle Washing Control via Fuzzy Logic
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Solution Overview
Problem
Current cleaning processes for bottles lack efficient differentiation of soiling levels, leading to excessive energy and chemical usage, and high error rates due to uniform cleaning parameters, resulting in increased costs and potential contamination issues.
Innovation Solution
An automated control system for cleaning machines that adjusts cleaning parameters based on the number of returned or rejected bottles, utilizing a fuzzy logic system to optimize cleaning intensity and efficiency by assessing the degree of soiling and condition of bottles, and routing inadequately cleaned bottles back into the system for re-cleaning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform cleaning parameters are applied to all bottles regardless of soiling level, then cleaning reliability is maintained, but energy consumption and chemical usage increase significantly
Solution Approach 1:
The system dynamically adjusts cleaning parameters (temperature, chemistry concentration, mechanical action intensity, exposure time) based on detected soiling levels. Clean bottles receive minimal cleaning with low energy input, while heavily soiled bottles receive intensified cleaning only when necessary, resolving the contradiction between maintaining cleaning reliability and reducing energy consumption.
Solution Approach 2:
The cleaning system transitions from static uniform parameters to dynamic adaptive parameters. The control system continuously monitors soiling levels and adjusts cleaning intensity in real-time, allowing the system to optimize energy usage while maintaining adequate cleaning effectiveness for each bottle's actual condition.
2Stability of the object's composition
If uniform cleaning parameters are applied to all bottles, then consistent cleaning process is maintained, but chemical usage and costs increase
Solution Approach 1:
The system varies chemical concentration and application parameters based on detected soiling levels. Bottles with low soiling receive reduced chemical exposure, while heavily soiled bottles receive appropriate chemical treatment, thereby reducing overall chemical consumption while maintaining process consistency through controlled variability.
Solution Approach 2:
The system applies partial cleaning action (reduced chemistry and energy) to bottles that do not require full cleaning intensity. By matching cleaning effort to actual soiling levels, the system reduces unnecessary chemical usage while maintaining adequate cleaning quality for each bottle's specific condition.
3Manufacturing precision
If high cleaning intensity is applied to all bottles, then cleaning quality is ensured, but error rate increases due to over-cleaning and resource waste
Solution Approach 1:
The system adjusts cleaning parameters to match actual soiling levels, avoiding excessive cleaning of already clean bottles. This prevents over-cleaning errors, reduces resource waste, and maintains appropriate cleaning quality for each bottle's specific condition, thereby improving overall process efficiency.
Solution Approach 2:
The cleaning system dynamically adapts intensity based on real-time soiling detection, transitioning from static high-intensity cleaning to dynamic variable-intensity cleaning. This maintains cleaning quality where needed while avoiding unnecessary intensive processing, reducing errors and improving productivity.
4Loss of substance
If chemical-free or reduced-chemistry cleaning is implemented, then costs are reduced, but cleaning effectiveness may be compromised for heavily soiled bottles
Solution Approach 1:
The system adjusts chemistry parameters based on detected soiling levels, enabling reduced-chemistry or chemical-free cleaning for lightly soiled bottles while maintaining adequate chemical usage for heavily soiled bottles. This dynamic adjustment maintains cleaning effectiveness while reducing overall chemical consumption and associated costs.
Data Source
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AI summary
The method involves determining a control parameter, which reflects a pollution degree of cleaned bottles of a cleaning machine (2). The pollution degree of the cleaned bottles is detected. The detected pollution degree is evaluated. The bottles evaluated to exhibit a high pollution degree are returned to an inlet of the cleaning machine. The cleaning parameter of the cleaning machine is automatically controlled by a fuzzy logic system if a number of the returned bottles exceeds a predetermined target value or target range based on the number of cleaned bottles. An independent claim is also included for a cleaning system comprising a controller.