Wiping Work Identification via Temperature Variation Analysis
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Solution Overview
Problem
Existing disinfection and cleaning systems lack a method to effectively analyze and identify the type of wiping work performed, such as alcohol, wet, or dry wiping, which is crucial for ensuring proper disinfection protocols are followed.
Innovation Solution
A work type identification apparatus that acquires a temperature data sequence from a target region using a temperature sensor and determines the type of wiping work based on the time variation of the temperature, allowing for automatic identification of wiping types like alcohol, wet, or dry wiping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring of wiping work is performed, then flexibility and adaptability are maintained, but labor intensity and time consumption increase
Solution Approach 1:
The system enables automatic self-monitoring of wiping work by using temperature sensors to detect temperature changes on surfaces. The wiping work identification apparatus autonomously determines whether wiping has been performed and identifies the wiping type without requiring manual intervention, thereby resolving the contradiction between maintaining monitoring capability and reducing time consumption.
Solution Approach 2:
The patent replaces manual visual inspection with an automated temperature-based detection system. Temperature sensors and processing units automatically monitor and analyze temperature variations to identify wiping work, substituting the mechanical manual monitoring process with an automated thermal detection system that improves efficiency while reducing time investment.
2Measurement precision
If automated temperature-based wiping detection is implemented, then productivity and accuracy are improved, but device complexity increases
Solution Approach 1:
The system utilizes temperature as a key parameter to identify wiping work. By monitoring temperature changes and their patterns over time, the system achieves accurate identification of different wiping types (alcohol, wet, dry) without requiring complex mechanical or optical sensors. This parameter-based approach improves measurement precision while keeping the device relatively simple.
Solution Approach 2:
The patent leverages the phase transition properties of different wiping substances (alcohol evaporating faster than water, water evaporating faster than dry wiping) to distinguish between wiping types. This natural physical phenomenon provides a simple yet effective basis for differentiation without requiring complex analysis systems.
3Reliability
If comprehensive wiping work analysis is performed, then reliability of disinfection protocols is improved, but information processing requirements increase
Solution Approach 1:
The system extracts only the essential temperature data needed for wiping work identification from the continuous temperature stream. By focusing on specific temperature change patterns and thresholds relevant to wiping detection, the system maintains high reliability in disinfection monitoring while minimizing unnecessary information processing and data storage requirements.
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 efficient and automated identification of wiping work types, reducing manual effort and error, ensuring accurate disinfection protocols are followed and allowing for real-time monitoring of disinfection processes.
Implementation Method 1
determining a type of wiping work performed on the target region based on the time variation of the temperature of the target region indicated by the temperature data sequence
Data Source
AI summary
A work type identification apparatus (2000) acquires, for a target region (12) of a target object (10) on which a wiping work is to be performed, a temperature data sequence (40) indicating a time variation of a temperature of the target region (12). The work type identification apparatus (2000) determines a type of wiping work performed on the target region (12) based on the time variation of the temperature of the target region (12) indicated by the temperature data sequence (40).