Dynamic Pressure Measurement for Beverage Filter Life Detection
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Solution Overview
Problem
There is a need for a system or process that allows for computerized detection of filter life in beverage dispensing systems without manual testing, as existing methods are either costly or lead to improper system operation.
Innovation Solution
The system uses dynamic pressure measurement to determine if a filter needs replacement by measuring system pressure at specified time points relative to beverage dispensation, and generates a predictive model to estimate the remaining life of the filter based on pressure measurement trajectories and dispensed volume patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual testing methods are used to detect filter life, then filter replacement can be determined, but the process is costly and requires manual intervention
Solution Approach 1:
The patent replaces manual mechanical testing with an automated electronic pressure sensing system. A pressure sensor continuously monitors system pressure, and a computing device automatically analyzes the data to determine filter life, eliminating the need for manual testing while maintaining detection accuracy.
Solution Approach 2:
The system enables self-monitoring of filter condition through automated pressure measurement and analysis. The computing device independently evaluates pressure data against predetermined thresholds and generates replacement notifications without human intervention, allowing the system to self-diagnose filter status.
2Reliability
If filter replacement is performed early to ensure system performance, then optimal system operation is maintained, but unnecessary replacement costs increase
Solution Approach 1:
The system performs preliminary detection of filter degradation by continuously monitoring pressure changes before the filter completely fails. By identifying deterioration trends early through pressure analysis, the system allows planned replacement at the optimal moment, balancing reliability maintenance with cost efficiency.
Solution Approach 2:
The system establishes a feedback loop where pressure sensor data is continuously analyzed to assess filter condition. This real-time feedback enables dynamic adjustment of replacement timing based on actual filter performance rather than fixed schedules, preventing both premature and delayed replacement.
3Loss of substance
If filter replacement is delayed to reduce costs, then replacement costs decrease, but system performance deteriorates and proper operation is prevented
Solution Approach 1:
The automated pressure monitoring system provides continuous objective assessment of filter condition, replacing subjective manual evaluation. This enables precise determination of the optimal replacement moment, extending filter life to its true limit while preventing operation beyond functional capability, thus maintaining reliability while reducing unnecessary early replacements.
4Extent of automation
If continuous pressure monitoring is implemented to track filter condition, then automated filter life detection is achieved, but system complexity increases
Solution Approach 1:
The pressure sensor and computing device serve multiple functions: monitoring system pressure for operational control, detecting filter degradation trends, determining replacement timing, and generating notifications. This multi-functionality justifies the added complexity by consolidating multiple system needs into a single integrated monitoring framework.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables automated, cost-effective detection of filter life, preventing unnecessary replacements and ensuring optimal system performance by accurately determining when a filter needs to be replaced.
Implementation Method 1
a sensor configured to sense a pressure of a buffer tank; and at least one computing device communicably coupled to the sensor
Data Source
AI summary
A sensor coupled to a computer can sense a pressure of a buffer tank. A computer can determine a start of dispensing a beverage from a beverage dispenser. The computer can determine that an elapsed time from the start of dispensing the beverage reaches a predefined duration threshold. The computer can measure a particular pressure of the buffer tank when determining that the elapsed time reaches the predefined duration threshold. The computer can determine that the particular pressure falls below a predefined pressure threshold. The computer can generate an order to replace a water filter of the beverage dispense in response to the particular pressure at the elapsed time falling below the predefined pressure threshold.