Treadmill Lubrication Detection via Friction Coefficient Calculation
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Solution Overview
Problem
Current methods for detecting the lubrication status between a treadmill belt and deck are inaccurate and unreliable, often leading to improper maintenance, increased power consumption, and safety hazards due to variations in user weight, exercise mode, and environmental factors.
Innovation Solution
A method involving a central control unit that calculates the friction coefficient by recording motor parameters during three distinct operational phases: no load, level deck with user, and inclined deck with user, using the formula FrictionCoefficient=(secondvalue-firstvalue)×G2-(thirdvalue-firstvalue)×G1/secondvalue-thirdvalue, where G1 and G2 represent the deck angles, to provide a reliable lubrication status assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If current consumption monitoring is used to detect lubrication status, then detection cost is reduced, but measurement precision deteriorates due to influence from user weight, exercise mode, and environmental factors
Solution Approach 1:
The detection process is segmented into three distinct operational phases (no-load, level deck with user, inclined deck with user), each measuring specific friction characteristics. This segmentation allows isolation of the friction coefficient from other variables like user weight and exercise mode, improving measurement precision while maintaining cost-effectiveness through systematic phase separation
Solution Approach 2:
The system changes operational parameters (deck angle, load condition) between measurement phases to differentiate friction effects from other forces. By measuring at multiple parameter states (0° and inclined angles, with and without user load), the system can calculate friction coefficient independently of user weight and exercise intensity, resolving the precision problem
2Measurement precision
If manual friction coefficient calculation is used, then measurement precision is improved, but device complexity increases due to need for professional apparatus and multiple operating conditions
Solution Approach 1:
The treadmill system performs self-detection by utilizing its own operational phases and built-in sensors to measure friction characteristics. The control unit automatically executes the three-phase detection sequence and calculates friction coefficient without requiring external professional apparatus, reducing device complexity while maintaining precision through systematic self-measurement
Solution Approach 2:
The treadmill's existing motor and control system serve dual purposes: normal operation and friction detection. The same motor that drives the belt also provides the force measurements needed for friction calculation during the three detection phases, eliminating the need for separate detection apparatus and reducing overall system complexity
3Ease of operation
If fixed maintenance schedule is used, then ease of operation is improved, but reliability deteriorates because maintenance timing does not match actual lubrication needs
Solution Approach 1:
The system provides real-time feedback on actual friction coefficient and lubrication status through the three-phase detection method. This feedback replaces fixed-schedule maintenance with condition-based maintenance, where maintenance is performed only when the detected friction coefficient indicates actual lubrication degradation, ensuring reliability while allowing flexible scheduling based on actual needs rather than arbitrary time intervals
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 provides a simple, reliable method for determining the lubrication status, reducing the need for frequent and inaccurate manual assessments, thereby maintaining optimal treadmill operation and ensuring user safety.
Implementation Method 1
the friction coefficient between the belt and the deck might be appropriately calculated
Implementation Method 2
the friction force between the belt and the deck is equal to the gravity force of the user multiplied by the friction coefficient between the belt and the deck
Implementation Method 3
FrictionCoefficient=(second value-first value)×G2-(third value-first value)×G1/second value-third value
Data Source
AI summary
The present invention relates to a method of detecting a lubrication status between a deck and a belt of a treadmill. The method includes: starting a lubrication detecting procedure of the treadmill by a user, making the belt driving system drive the belt to run for a period of time without the user on the belt of the treadmill, having the user walk on the belt of the treadmill for a period of time at a level state, having the user walk on the belt of the treadmill for a period of time at a predetermined angle. Thereafter, a central control unit of the treadmill calculates a friction coefficient between the belt and the deck of the treadmill according to measuring results of the procedures, and generating a suggestion of maintenance according to a level of the friction coefficient.