Method and apparatus for identifying ground feature by automatic cleaning device
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing carpet material detection methods in sweeping robots rely on costly dedicated sensors or have high false identification rates, necessitating a cost-effective solution with improved accuracy.
Innovation Solution
A method and device that utilize the rolling brush current and side brush current of an automatic cleaning device to calculate a ground identification coefficient through weighted differences, allowing accurate identification of carpet versus non-carpet surfaces without additional hardware costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical flow sensor or ultrasonic sensor is used for carpet material detection, then detection capability is improved, but cost increases
Solution Approach 1:
The patent replaces optical flow sensors or ultrasonic sensors with a current detection system that monitors motor current consumption. The carpet detection module detects carpet materials by analyzing changes in current consumed by the rolling brush motor when the brush transitions from hard floor to carpet surfaces, thereby avoiding the high cost of dedicated sensors while maintaining detection capability
Solution Approach 2:
The system uses the existing motor and current sensing infrastructure of the sweeping robot to perform carpet detection. The same motor that drives the rolling brush also serves as the detection sensor through its current consumption characteristics, eliminating the need for separate detection hardware and reducing overall system cost
2Ease of manufacture
If current-based identification method is used for carpet detection, then cost is controlled, but false identification rate increases
Solution Approach 1:
The patent segments the current detection into multiple components: rolling brush current detection, side brush current detection, and differential current calculation. By dividing the detection process into distinct stages and comparing multiple current signals, the system reduces false identification while maintaining cost control
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring current consumption and comparing it against threshold values. The carpet detection module uses feedback from current changes to adjust detection decisions, and the hysteresis mechanism provides feedback to prevent oscillation between detection states, thereby reducing false identification rates
3Measurement precision
If rolling brush current and side brush current are both used for detection, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent makes the existing current sensing system multi-functional by using it for both motor control and carpet detection purposes. The same current sensors that monitor motor operation are also used to detect carpet materials through current consumption patterns, thereby improving detection accuracy without adding separate detection hardware
Solution Approach 2:
The system merges the control function and detection function into a single integrated system. By combining rolling brush current and side brush current measurements and processing them through a unified detection algorithm, the patent achieves improved detection accuracy while avoiding the complexity of separate independent detection systems
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
Reduces false identification rates by optimizing software based on current detection, ensuring accurate differentiation between carpet and non-carpet surfaces while maintaining cost-effectiveness.
Implementation Method 1
collecting a rolling brush current and a side brush current of the automatic cleaning device; obtaining a ground identification coefficient according to a weighted calculation of the rolling brush current and the side brush current
Data Source
AI summary
A method and apparatus for identifying a ground feature by an automatic cleaning device. The method includes collecting a rolling-brush current and a side-brush current; performing weighted calculation according to the rolling-brush current and the side-brush current, so as to obtain a ground identification coefficient; and according to the ground identification coefficient, identifying a feature of whether the ground on which the automatic cleaning device is located is carpet or a non-carpet dielectric surface. Software optimization is carried out on the basis of current detection technology, thus reducing the false identification rate without additional cost.