Pool cleaning robot having a filtering unit and a sensor
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Solution Overview
Problem
Current methods for assessing the status of a pool cleaning robot's filtering unit are often manual and lack real-time monitoring, making it difficult for pool owners to detect clogging issues promptly.
Innovation Solution
Incorporating calorimetric sensors and accelerometers into the pool cleaning robot to measure fluid flow and vibrations, which provide real-time indications of filter cleanliness by comparing flow rates and noise frequencies, allowing for timely detection of clogging and automated responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual visual inspection is used to assess filter status, then device complexity is reduced, but measurement precision and real-time monitoring capability deteriorate
Solution Approach 1:
The patent replaces manual visual inspection with electronic sensors (calorimetric sensors, accelerometers, flow sensors) that automatically detect filter clogging conditions. This substitution of mechanical/manual assessment with electronic sensing systems resolves the contradiction by providing precise real-time measurements without requiring complex manual inspection procedures.
Solution Approach 2:
The patent implements feedback mechanisms where sensors continuously monitor filter status and provide real-time information to the control system. This automatic feedback loop enables precise measurement of filter conditions while maintaining relatively simple device architecture, as the system self-monitors without requiring complex external inspection mechanisms.
2Measurement precision
If electronic indication systems with multiple sensors are implemented, then measurement precision and real-time monitoring improve, but device complexity increases
Solution Approach 1:
The patent employs multi-functional sensors that perform multiple detection tasks. For example, calorimetric sensors detect both temperature changes and flow conditions, while accelerometers monitor both vibration and operational status. This multi-functionality allows the system to achieve comprehensive real-time monitoring with fewer sensor types, thereby improving measurement precision without proportionally increasing device complexity.
Solution Approach 2:
The patent combines multiple sensing functions into integrated sensor assemblies and unified control systems. By merging the detection of temperature, flow, vibration, and operational parameters into a coordinated sensor-network architecture, the system achieves high measurement precision while managing overall device complexity through integration rather than proliferation of separate components.
3Loss of information
If real-time sensor monitoring is implemented, then loss of information about filter status is reduced, but use of energy increases
Solution Approach 1:
The patent implements periodic sampling of sensor data rather than continuous monitoring at maximum resolution. The system takes measurements at strategically selected intervals and uses event-triggered detection where full sensor activation occurs only when clogging thresholds are approached. This periodic action maintains accurate information about filter status while significantly reducing the average energy consumption compared to continuous high-resolution monitoring.
Solution Approach 2:
The patent employs partial monitoring strategies where not all sensors operate at full capacity simultaneously. Instead, the system activates specific sensor subsets based on operational conditions and risk levels, using excessive measurement only when necessary to detect developing clogging issues. This approach minimizes information loss while optimizing energy usage by avoiding unnecessary full-system sensor activation during normal operation.
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
Enables accurate and timely detection of filter clogging, reducing manual inspections and allowing for automated cleaning or maintenance, thereby maintaining optimal pool cleaning performance.
Implementation Method 1
one or more calorimetric sensors for sensing the flow of fluid (or the lack of flow of fluid) within the pool cleaning robot
Implementation Method 2
Incorporating calorimetric sensors and accelerometers into the pool cleaning robot to measure fluid flow and vibrations
Data Source
AI summary
A pool cleaning robot that may include a filtering unit for filtering fluid that passes through the filtering unit; a calorimetric sensor for sensing a cleanliness related parameter of the filtering unit while the pool cleaning robot is submerged in the fluid; and a controller that is configured to at least assist in determining, based on the cleanliness related parameter of the filtering unit, a cleanliness of the filtering unit.