Method for operating a cleaning system
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Solution Overview
Problem
Existing cleaning systems with self-traveling devices lack efficient scheduling mechanisms to manage time-dependent and event-dependent cleaning activities, often resulting in resource inefficiencies and the need for spontaneous user intervention when unexpected events occur.
Innovation Solution
Implementing a method that schedules cleaning activities based on both time-dependent and event-dependent scenarios, using predefined rules to determine which activities to perform, considering parameters like recent cleaning activities, environmental conditions, and user-defined event scenarios, allowing for automated and optimized execution of cleaning tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If cleaning activities are scheduled based on predefined rules and time-dependent scenarios, then resource efficiency is improved, but the system cannot respond quickly to unexpected events
Solution Approach 1:
The system pre-defines multiple activity scenarios (e.g., vacuuming, wet cleaning, dry cleaning) and stores them in a database with predefined rules for execution. When an unexpected event occurs, the system can immediately retrieve and execute the appropriate pre-defined scenario without requiring complex real-time decision-making, thus maintaining both resource efficiency and rapid adaptability
2Productivity
If multiple cleaning activities are scheduled in the database, then cleaning coverage is improved, but scheduling conflicts and resource allocation problems occur
Solution Approach 1:
The system uses predefined parameters and rules (such as time windows, priority levels, and resource availability thresholds) to automatically resolve scheduling conflicts. By changing the scheduling approach from manual complex coordination to rule-based automatic parameter adjustment, the system can handle multiple cleaning activities efficiently without increasing operational complexity
3Adaptability or versatility
If the system allows spontaneous user intervention for event-dependent activities, then adaptability is improved, but user workload and operational complexity increase
Solution Approach 1:
The system automatically detects events (such as dirt accumulation, user presence, or time-based triggers) and independently determines which pre-defined activity scenario to execute. This self-service capability eliminates the need for users to manually intervene in event-dependent activities, maintaining high adaptability while significantly reducing user workload and operational complexity
Data Source
AI summary
A method for operating a cleaning system that comprises at least one self-traveling cleaning device that travels in an environment based on an environment map and carries out cleaning activities. The cleaning device accesses a database, in which multiple cleaning activities are stored. A user accesses the database and defines in advance at least one randomly occurring event, depending on the occurrence of which at least one certain cleaning activity is carried out. The user defines an event-dependent activity scenario and the activity scenario is carried out upon the subsequent occurrence of the defined event. At least one cleaning activity is also scheduled time-dependently, and predefined rules determine whether only the event-dependent activity scenario or only the time-dependently scheduled cleaning activity is carried out if the time of an occurrence of a defined event falls short of a predefined minimum time interval.