Self-Moving Waste Container Deployment by User Activity Trajectory
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Solution Overview
Problem
The deployment position of mobile waste containers is fixed, requiring users to move to their vicinity for disposal, leading to a poor user experience.
Innovation Solution
A method and apparatus for deploying a self-moving device that involves acquiring position information of a target object, determining its activity trajectory, and controlling the device to move to a deployment position based on this trajectory, using electromagnetic wave devices and edge servers to optimize placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the mobile waste container is deployed at a fixed position, then the device structure is simple and easy to implement, but the user experience deteriorates because users must go to the vicinity of the container for disposal
Solution Approach 1:
The patent transforms the static fixed deployment model into a dynamic adaptive deployment model. The system continuously tracks user activity trajectories and automatically adjusts the container's deployment position in real-time based on detected user movement patterns, enabling the container to proactively move to optimal locations rather than remaining stationary
Solution Approach 2:
The system implements self-service by automatically analyzing user behavior data and determining optimal deployment positions without requiring user intervention. The container autonomously repositions itself based on detected activity trajectories, eliminating the need for users to manually locate or transport the container
2Measurement precision
If the self-moving device continuously tracks user position information, then the deployment accuracy is improved, but the energy consumption increases due to continuous monitoring and movement operations
Solution Approach 1:
The system employs periodic sampling of user position information at predetermined time intervals rather than continuous tracking. This approach maintains adequate deployment accuracy by capturing sufficient movement pattern data while significantly reducing the energy burden of constant monitoring and processing operations
Solution Approach 2:
The system uses partial action by selectively processing position data only when sufficient information is available to determine meaningful activity trajectories. Rather than processing every single position data point, the system identifies key trajectory patterns and triggers deployment adjustments only when confidence thresholds are met, reducing unnecessary computational energy consumption
Data Source
AI summary
Disclosed herein is a method and apparatus for deploying a self-moving device, an electronic device, and a non-transitory storage medium. The method includes acquiring position information of a target object in each region; determining an activity trajectory of the target object in each region according to the position information; determining a deployment position of the self-moving device in each region according to the activity trajectory; and controlling the self-moving device to move to the deployment position.