Modular Machine Fluid Monitoring With Automated Sampling
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Solution Overview
Problem
Existing machinery lacks accurate monitoring and maintenance of fluid conditions, leading to potential machine damage or failure due to inadequate monitoring of fluid degradation in closed-loop systems and improper sampling practices.
Innovation Solution
A modular device mounted on machines to monitor fluid conditions, featuring a printed circuit board control assembly, sensors for fluid parameters, and a valve system to collect samples, which communicates with a central controller for real-time data analysis and alerts for maintenance scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fluid sampling is performed manually or with insufficient frequency, then monitoring cost is reduced, but measurement precision and reliability of fluid condition assessment deteriorate
Solution Approach 1:
The monitoring device performs self-sampling by automatically drawing fluid samples from the machine's fluid system through integrated sampling ports and valves, eliminating the need for manual intervention. The system autonomously determines when sampling is needed based on monitored parameters and executes the sampling process without human operation.
Solution Approach 2:
The system replaces manual mechanical sampling operations with automated electronic control. Sensors monitor fluid parameters continuously, and a microprocessor-controlled system automatically triggers sampling when thresholds are exceeded, substituting human judgment and manual valve operation with electronic sensing and actuation.
2Reliability
If continuous monitoring is implemented, then reliability of machine operation is improved, but use of energy and device complexity increase
Solution Approach 1:
The system employs periodic monitoring rather than truly continuous monitoring. Sensors take measurements at predetermined time intervals or when specific trigger conditions are met, allowing the system to maintain reliability while reducing energy consumption compared to constant high-rate sampling and processing.
Solution Approach 2:
The system changes its monitoring parameters dynamically based on operating conditions. It adjusts the frequency and sensitivity of monitoring according to the machine's operational state, using more intensive monitoring when degradation is detected and reducing intensity during normal operation to conserve energy.
3Productivity
If manual fluid sampling is performed, then device complexity is reduced, but loss of time for accurate sampling and testing increases
Solution Approach 1:
The system performs preliminary monitoring and assessment continuously, so that by the time maintenance is needed, the optimal sampling time and location are already identified. This preliminary detection allows maintenance personnel to arrive with minimal wait time and perform sampling efficiently at the pre-determined optimal moment.
Solution Approach 2:
The system provides continuous feedback on fluid condition parameters, enabling real-time decision-making about when and what to sample. This feedback loop eliminates time losses associated with manual inspection schedules by providing immediate information about fluid degradation, allowing maintenance to be performed precisely when needed rather than on fixed intervals.
Data Source
AI summary
A device for measuring fluid parameters may be modular or integrally formed. The device is positioned on a machine that includes one or more fluids to be monitored, and the device includes a (1) controller, (2) spacer that connects to a power source and that may include one or more connectors to connect to remote sensors, and (3) an optional manifold through which the fluid may pass. The manifold could include fluid sensors and/or be connectable to a sample bottle for the purpose of taking fluid samples.