Digital Twin Sanitation Management System for Hygiene Compliance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Lack of proper sanitation or hygiene leads to an increased spread of germs and viruses, as people often forget to sanitize their hands after interacting with communal items that may be contaminated, and there is a need for effective notification or reminders to maintain hygiene.
Innovation Solution
A sanitation management system utilizing machine learning models to evaluate the sanitation state of assets and individuals, integrating data from sensors and user profiles, which includes smart devices, sensors, and a network for real-time feedback and recommendations on sanitization actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual sanitation monitoring is used, then people can remember to sanitize their hands, but many people forget to sanitize after interacting with communal items
Solution Approach 1:
The system performs preliminary actions by notifying users before they need to sanitize their hands. The notification system alerts users in advance when sanitation is needed, allowing them to prepare and sanitize at the appropriate time without forgetting or delaying.
Solution Approach 2:
The system implements feedback by continuously monitoring sanitation status and providing real-time notifications to users. The system tracks when hands need sanitization and communicates this information back to users, creating a closed-loop system that improves compliance without requiring users to manually track their own sanitation needs.
2Measurement precision
If comprehensive sanitation monitoring is implemented, then sanitation state can be accurately evaluated, but system complexity increases
Solution Approach 1:
The system uses an intermediary approach by introducing a digital twin as a virtual representation of the physical sanitation environment. This digital twin acts as a mediator that processes sensor data and sanitation rules, evaluating sanitation state without requiring complex direct monitoring of all physical interactions. The intermediary layer simplifies the overall system architecture while maintaining measurement precision.
Solution Approach 2:
The system segments the sanitation monitoring task into distinct components: sensor data collection, digital twin creation, sanitation rule evaluation, and notification generation. By dividing the monitoring function into separate modules, the system achieves accurate sanitation state evaluation while keeping each component relatively simple and manageable.
3Productivity
If real-time sanitation notifications are provided, then users can be reminded to sanitize properly, but data processing requirements increase
Solution Approach 1:
The system creates a digital copy or digital twin of the physical sanitation environment, which allows data processing to occur in the virtual domain rather than requiring intensive real-time analysis of all physical sensor inputs. This copying approach enables effective sanitation monitoring and notification while reducing the computational energy burden on the physical system.
Data Source
AI summary
The exemplary embodiments disclose a method, a computer program product, and a computer system for managing sanitation. The exemplary embodiments may include collecting data of one or more assets, extracting one or more features from the collected data, and evaluating a state of sanitation of the one or more assets based on applying one or more models to the extracted features.