Suction System Throttle Valve Sensing for Dynamic Power Adaptation
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Solution Overview
Problem
Existing suction systems face challenges in efficiently adapting suction power to varying requirements across different workstations, leading to unnecessary energy consumption and fluctuations in suction power.
Innovation Solution
A sensor is used to record the position of the throttle valve and transmit signals to the suction system, allowing for precise adjustment of suction power at each workstation, ensuring optimal suction conditions and reducing energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If suction power is increased to meet peak demands at any workstation, then sufficient suction is provided at all times, but energy consumption increases unnecessarily during periods of lower demand
Solution Approach 1:
The suction system dynamically adjusts its total suction power based on real-time feedback from sensors at each workstation. The control device continuously monitors throttle valve positions and modifies the central suction unit's power output accordingly, transitioning from static to dynamic operation to match actual demand and reduce energy consumption.
Solution Approach 2:
Sensors at each workstation detect the position of throttle valves and transmit this information to the control device, which then adjusts the suction power. This closed-loop feedback system enables the suction system to respond automatically to changing requirements, ensuring reliable suction availability while optimizing energy usage.
2Adaptability or versatility
If manual adjustment of throttle valves is used at each workstation, then individual suction requirements can be adjusted, but the central suction system cannot adapt automatically leading to power fluctuations
Solution Approach 1:
Sensors detect throttle valve positions at each workstation and transmit this data to the control device, which automatically adjusts the central suction system's power output. This feedback mechanism eliminates the need for manual adaptation while preserving individual workstation adjustability, reducing operational complexity.
Solution Approach 2:
The manual mechanical adjustment system is supplemented with electronic sensors and a control device that automatically process throttle valve position information and adjust suction power accordingly, replacing the need for manual system-wide adjustments with automated electronic control.
3Loss of energy
If the suction system is equipped with sensors and control devices to adapt suction power, then energy efficiency improves, but device complexity increases
Solution Approach 1:
The system uses sensors to detect throttle valve positions and a control device to process this information and adjust suction power automatically. This feedback-based automation reduces energy loss by matching suction power to actual demand while managing system complexity through intelligent control rather than mechanical complexity.
Solution Approach 2:
The suction system monitors its own operational state through sensors and automatically adjusts its power consumption based on detected throttle valve positions. This self-service capability improves energy efficiency by enabling the system to autonomously optimize its performance without requiring complex external control infrastructure.
Data Source
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AI summary
An extraction system comprising an extraction unit (1), a plurality of suction points (10, 10') fluidically connected to the extraction unit (1), each with a throttle valve (11) at each suction point (10, 10'), and a means (12) for manually adjusting the throttle valve (11), is further developed by a sensor (11a, 11b, 13) for detecting the position of the throttle valve (11) and by a signal communication device (14) connecting the sensor (11a, 11b, 13) to the extraction unit (1). The invention also relates to an actuating device for such an extraction system and a control method for it.