System with at least two floor processing fixtures
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Solution Overview
Problem
Autonomous floor processing devices with automatically controlled fixtures often operate independently, lacking a coordinated approach to optimize surface processing, especially when multiple fixtures with different cleaning capabilities are involved.
Innovation Solution
A system with a shared database that coordinates operational activities among multiple floor processing fixtures, allowing them to interact and support each other by planning tasks based on defined rules, using detection systems for environment data acquisition, and enabling communication between devices for synchronized cleaning operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple floor processing fixtures operate independently, then each fixture can perform its cleaning function autonomously, but the overall cleaning efficiency and coordination between fixtures is reduced
Solution Approach 1:
The patent merges multiple floor processing fixtures into a coordinated system where they share a common database and communicate with each other. The fixtures are combined into a unified system that plans and executes cleaning tasks collectively, improving overall cleaning efficiency through coordinated operation rather than independent work.
Solution Approach 2:
The shared database serves multiple functions: storing task information, coordinating between fixtures, tracking operational status, and enabling communication. This universal database component handles various system management functions, reducing the need for separate coordination mechanisms for each fixture.
2Reliability
If a shared database is introduced to coordinate fixtures, then operational activities are optimized and fixtures support each other, but the system complexity increases
Solution Approach 1:
The system implements self-service through automatic task allocation and coordination. When one fixture fails or completes a task, the shared database automatically redistributes the workload to other available fixtures without requiring manual intervention. The system monitors its own status and self-regulates task distribution based on real-time conditions.
Solution Approach 2:
The shared database continuously receives feedback from each fixture about its operational status, task completion, and encountered issues. This feedback mechanism allows the system to dynamically adjust task allocation, reassign failed tasks to other fixtures, and optimize overall system performance based on real-time information from all components.
3Adaptability or versatility
If fixtures are designed with different cleaning capabilities, then the system can adapt to various cleaning needs, but the complexity of managing different fixture types increases
Solution Approach 1:
Each floor processing fixture is designed with specific local qualities or specialized cleaning capabilities suited for particular task types. The shared database recognizes and utilizes these local qualities by automatically assigning appropriate tasks to fixtures based on their specific capabilities, allowing the system to handle diverse cleaning requirements without manual configuration.
Solution Approach 2:
The system manages fixture diversity by dynamically changing operational parameters in the shared database based on fixture capabilities and task requirements. The database stores and adjusts parameters such as fixture type, cleaning method, and operational characteristics, allowing flexible management of different fixture types through parameter-based control rather than structural complexity.
4Productivity
If operational activities are planned based on defined rules in a shared database, then cleaning performance is optimized, but the system requires more complex control mechanisms
Solution Approach 1:
The shared database pre-plans cleaning tasks and operational activities based on defined rules and fixture capabilities before execution. Task allocation, routing, and coordination are prepared in advance, allowing fixtures to execute predetermined plans efficiently. This preliminary planning reduces real-time decision complexity while maintaining optimized cleaning performance.
Solution Approach 2:
The automatic control system is designed to be dynamic, allowing rules and parameters in the shared database to be adjusted based on real-time conditions. The system can modify task allocations, change operational parameters, and adapt planning rules during execution, providing flexible automatic control that responds to changing environments without requiring complex rigid control mechanisms.
Data Source
AI summary
A system has at least two floor processing fixtures of one or several automatically moving floor processing devices for the automatically controlled processing of a surface. In order to further develop such a system in particular with the aim of having the floor processing fixtures advantageously interact and support each other, the system has a shared database allocated to the floor processing fixtures, which is stored in an external memory designed separately from the floor processing device, and in which operational activities for the floor processing fixtures are planned according to defined rules, as well as a central computing device allocated to the database, which plans operational activities according to defined rules.