Filter System Turbidity Feedback Control
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Solution Overview
Problem
Existing filtering systems for liquid mediums face challenges in controlling inlet conditions, especially when coadjuvant products are added, due to sensitivity to varying operating conditions, leading to suboptimal performance and increased costs.
Innovation Solution
An improved filtering system with a collection tank, filter, stirring means, turbidity measurement, coadjuvant product dosage, flowrate measurement, and processing means that communicate data to regulate stirring, dosage, and flowrate, utilizing a microprocessor to optimize filter operation and prevent sedimentation, while also monitoring and controlling waste quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If coadjuvant products are added to the liquid medium before the filter inlet, then filtering performance is improved, but control difficulty increases due to sensitivity to varying operating conditions
Solution Approach 1:
The system implements a closed-loop feedback control mechanism where a turbidity sensor continuously measures the liquid medium quality in the collection tank and sends signals to the processing means. The processing means automatically adjusts the propelling means flowrate and stirring means speed based on this feedback, eliminating the need for manual control adjustments and ensuring optimal filtering performance despite variations in operating conditions.
Solution Approach 2:
The system achieves self-regulation by automatically adjusting its own operating parameters. The processing means receives turbidity measurements and autonomously controls the propelling means and stirring means without external intervention, allowing the filter to adapt to changing conditions and maintain optimal performance independently.
2Reliability
If manual control of filter inlet conditions is used, then device complexity is reduced, but filtering performance becomes suboptimal due to inability to dynamically adjust to varying conditions
Solution Approach 1:
The system uses a turbidity sensor to continuously monitor liquid medium quality and provides feedback to the processing means. This automatic feedback loop enables dynamic adjustment of flowrate and stirring speed based on actual conditions, significantly improving filtering performance compared to manual control while keeping the control system relatively simple through automated decision-making algorithms.
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
The system optimizes filter performance by adjusting inlet conditions, reducing coadjuvant product consumption, lowering operational costs, and minimizing filter wear, while ensuring effective particle removal and waste management.
Implementation Method 1
stirring means of the liquid medium in the tank
Implementation Method 2
means for measuring the turbidity of the liquid medium in the tank
Implementation Method 3
propelling means for the liquid medium from the collection tank to the filter
Implementation Method 4
filter, suitable for filtering and eliminating particles in suspension of a liquid medium
Data Source
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AI summary
An improved filtering system comprising a collection tank for the liquid medium, a filter, propelling means from the collection tank to the filter, stirring means in the tank, means for measuring the turbidity in the tank, dosage means of a filtering coadjuvant product in the tank, means for measuring the operating flowrate of the filter, and processing means, the processing means being linked in data communication with the stirring means of the liquid medium in the tank, the means for measuring the turbidity of the liquid medium in the tank, the dosage means of a filtering coadjuvant product in the tank, the means for measuring the operating flowrate of the filter and the propelling means of the liquid medium.