Automatic elevation-adjusting system
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Solution Overview
Problem
Existing table elevation adjustment methods lack precision, potentially causing eye, bone, and muscle damage in children and teenagers due to imprecise adjustments during long hours of reading, writing, or computer use.
Innovation Solution
An automatic table-elevating system comprising an elevating unit, control panel, setting module, calculating module, and central control module that allows users to input their age, sex, and height to calculate and store average elevations for specific activities, enabling precise adjustment of the table height based on user data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment based on user discretion is used, then the adjustment process is simple and quick, but the measurement precision and adjustment accuracy are insufficient, causing potential damage to eyes, bones and muscles
Solution Approach 1:
The patent replaces the manual mechanical adjustment system with an automated electro-hydraulic system. The control module receives user input (age, sex, height) and automatically calculates and adjusts the table elevation using a hydraulic mechanism, eliminating the need for manual measurement and adjustment while achieving precise elevation control based on ergonomic standards.
Solution Approach 2:
The system performs self-measurement and self-adjustment by automatically calculating the optimal table elevation based on user-provided biometric data (age, sex, height). The control module stores multiple elevation settings and automatically selects and applies the appropriate setting without requiring manual measurement or adjustment by the user.
2Reliability
If precise automatic adjustment system is implemented, then the adjustment accuracy and user safety are improved, but the device complexity and cost increase
Solution Approach 1:
The system pre-calculates and stores multiple table elevation settings corresponding to different user profiles (age, sex, height combinations) in the control module. When a user provides their biometric data, the system quickly retrieves the pre-calculated optimal setting rather than performing complex real-time calculations, thereby ensuring ergonomic compliance while minimizing processing complexity.
Solution Approach 2:
The system adjusts the table elevation based on changes in user parameters (age, sex, height). By storing multiple elevation settings and selecting based on user input parameters, the system adapts to different user characteristics without requiring complex real-time computation, maintaining reliability while controlling system complexity.
Data Source
AI summary
An automatic elevation-adjusting system includes an elevating unit, a control panel, a setting module, a calculating module and a central control module. The control panel includes a power icon, a direction icon unit, a setting icon, and a mode icon unit. The setting icon is operable to actuate the setting module to allow a user to press the direction icon unit and the power icon to enter data including a name, height, sex and age. The calculating module calculates average elevations for playing games, writing, reading and standing based on the user's sex and age, a pre-set specification of the table and an average height corresponding to the user's sex and age. The central control module actuates the elevating unit to move a table to the average elevation for playing games, writing, reading or standing when the game, writing, reading or standing icon of the mode icon unit is pressed.