Self-Moving Device Charging Control for Unworked Area Completion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Self-moving devices often experience low working efficiency due to insufficient power, leading to premature cessation of tasks or lengthy charging periods.
Innovation Solution
A control method, apparatus, and device that intelligently charge self-moving devices by determining the first working time and power consumption required for unworked areas, allowing the device to automatically return and complete tasks when power reaches the necessary level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the self-moving device stops working or returns to charging station when power is insufficient, then the device can avoid power depletion, but the working efficiency decreases due to interruptions
Solution Approach 1:
The system performs preliminary calculation of required power consumption for unworked areas before charging occurs. By pre-calculating the power needs based on remaining working areas and historical efficiency data, the device can intelligently determine when to charge and for how long, ensuring continuous operation without unnecessary interruptions.
Solution Approach 2:
The charging strategy is dynamically adjusted based on real-time conditions. The system continuously monitors remaining power, calculates required power for unworked areas, and adapts the charging duration accordingly. This dynamic approach allows the device to minimize charging interruptions while ensuring sufficient power for completing tasks.
2Reliability
If the device charges for longer periods to ensure sufficient power, then power reliability improves, but time loss increases
Solution Approach 1:
The system changes the parameter of charging duration from fixed to variable based on calculated needs. By computing the exact power consumption required for remaining unworked areas and comparing it with current power levels, the system determines the precise charging time needed, avoiding both under-charging and excessive charging.
Solution Approach 2:
The system uses feedback from historical working efficiency data and real-time power status to optimize charging duration. The calculated required power consumption feeds back into the charging control logic, creating a closed-loop system that minimizes charging time while ensuring sufficient power for task completion.
3Reliability
If the device frequently returns to charging station, then power reliability is maintained, but productivity decreases due to repeated interruptions
Solution Approach 1:
The system performs preliminary assessment of power requirements for unworked areas before triggering a return to charging. By calculating the power consumption needed to complete remaining tasks and comparing it with current power reserves, the device can avoid unnecessary charging trips and only return when truly needed.
Solution Approach 2:
The device autonomously manages its own power strategy by calculating required power consumption and making intelligent decisions about when to charge. This self-service capability eliminates the need for frequent manual interventions or conservative charging strategies, optimizing the balance between power availability and continuous operation.
Data Source
AI summary
A control method for a self-moving device includes: obtaining a first working time corresponding to an unworked area in a target working area when a current remaining power of the self-moving device meets a preset charging condition, the target working area being an area where the self-moving device works; determining a first power consumption required by the unworked area according to the first working time; and charging the self-moving device according to the first power consumption. A control apparatus for implementing the control method for the self-moving device is also disclosed.