| Row ID | Full name in Chinese/中文全名 | Full name in English/英文全名 | Gender/性別 | Current Year of Study/目前就讀的年級 |
|---|---|---|---|---|
| 1 | 馮子縈 | FUNG TSZ YING | Female/女性 | Grade 9 (Secondary 3)/中學九年級（中三） |
One common problem encountered in schools is the lack of clean and accessible restrooms. Dirty toilets can significantly affect student well-being and learning. When restrooms are unkempt, students may avoid using them, leading to discomfort, distractions, and even health issues. This situation can cause anxiety, especially among younger students, who may feel embarrassed or reluctant to ask for help.
The impact extends beyond individual discomfort; it can disrupt the entire learning environment. Students focusing on their need for a clean restroom may struggle to concentrate on their studies. Additionally, the stigma around dirty facilities can discourage students from participating in school activities that require prolonged attendance, such as sports or extracurriculars.
In a community context, inadequate restroom conditions can reflect broader issues of neglect and lack of resources. Addressing this problem not only improves hygiene but also fosters a more positive and inclusive atmosphere. Implementing solutions, like a smart toilet monitoring system, can enhance the overall school experience, ensuring that students feel safe and supported in their learning environment.
To address the issue of dirty school restrooms, we can implement a Smart Toilet Monitoring System using Artificial Intelligence (AI), computational thinking, and computer programming.
Solution Overview:
Sensors Installation: Equip toilets with sensors that detect cleanliness, soap levels, odors, and unflushed toilets. These sensors gather real-time data on restroom conditions.
AI Algorithms: Use AI to analyze the data collected by the sensors. Machine learning algorithms can identify patterns, determining when and where cleanliness issues arise most frequently.
Real-Time Notifications: When a problem is detected (e.g., low soap or a dirty toilet), the system sends instant alerts to custodial staff via mobile devices.
Data Visualization: Create a dashboard that displays cleanliness reports and trends over time. This allows school administrators to identify persistent problem areas.
Implementation:
Programming: Use languages like Python or JavaScript to develop the software that processes sensor data and sends notifications.
Computational Thinking: Break down the problem into manageable parts, such as sensor data collection, analysis, and alert systems, allowing for systematic problem-solving.
This solution not only enhances restroom hygiene but also encourages responsible maintenance through data-driven insights.
The proposed Smart Toilet Monitoring System is the best solution for several reasons.
First, it leverages real-time data collection, allowing custodial staff to respond promptly to issues, ensuring that restrooms remain clean and well-stocked. This proactive approach minimizes the likelihood of students encountering dirty facilities, promoting a healthier school environment.
Second, by utilizing AI algorithms, the system can identify patterns in restroom usage and cleanliness, enabling schools to allocate resources more effectively. This data-driven insight helps address recurring problems, optimizing janitorial schedules and improving overall maintenance.
Additionally, the system fosters a culture of accountability and responsiveness within the school community. With immediate notifications, custodians are empowered to act quickly, enhancing student satisfaction and comfort.
Lastly, the implementation of technology demonstrates a commitment to innovation and student well-being. Schools that adopt such solutions not only improve hygiene but also create a more inviting learning environment, which can positively impact student performance and engagement.
Overall, the Smart Toilet Monitoring System combines efficiency, responsiveness, and data-driven management, making it a comprehensive solution to the persistent problem of unsanitary school restrooms.
Personal Information Collection Statement (PICS)/收集個人資料聲明:
1. The personal data collected in this form will be used for activity-organizing, record keeping and reporting only. The collected personal data will be purged within 6 years after the event.
2. Please note that it is obligatory to provide the personal data required.
3. Your personal data collected will be kept by the LTTC and will not be transferred to outside parties.
4. You have the right to request access to and correction of information held by us about you. If you wish to access or correct your personal data, please contact our staff at lttc@eduhk.hk.
5. The University’s Privacy Policy Statement can be access at https://www.eduhk.hk/en/privacy-policy.
- I have read and agree to the competition rules and privacy policy/我已閱讀並同意比賽規則和隱私權政策。