| I&T Solution |
Intelligent Tree Management Solution for Urban Environments
(REF: S-2008) |
| Trial Project |
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| Solution Feature |
- IoT Tree & Soil Sensors: Network of wireless sensors mounted on trees and buried in soil. They continuously monitor critical real-time data like trunk tilt angle, and soil moisture, providing live insights into tree stability and root zone health.
- AI Risk Prediction Model: A central machine learning engine analyzes all collected data (sensor, imagery, soil). It generates dynamic risk scores for each tree, predicting the likelihood of failure to prioritize management efforts.
- Centralized Dashboard & Alerts: A web-based GIS dashboard visualizes all tree data, risk scores, and locations on a map. It automatically triggers alerts for high-risk trees, enabling swift, prioritized response from management teams.
- Public Reporting Mobile App: A citizen-facing mobile application allows the public to easily report concerning trees by uploading photos and locations. This crowdsources ground-level intelligence for the system.
- Automated Work Order Generation: The system automatically generates and assigns work orders to maintenance crews when a high-risk alert is confirmed. This streamlines the workflow from detection to mitigation action.
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| Trial Application and Expected Outcome |
- Proactive Risk Identification: An accurate AI model that proactively identifies high-risk trees, enabling preventative action before failures occur, shifting management from reactive to predictive.
- Enhanced Public Safety: A significant reduction in tree-related incidents and property damage, creating a safer environment for citizens and protecting public infrastructure.
- Optimized Resource Allocation: Maintenance crews receive prioritized, data-driven work orders, directing resources to the most critical trees first, thereby increasing operational efficiency.
- Community Engagement Platform: An engaged community contributing to urban safety via a user-friendly mobile app, fostering public trust and collaborative governance.
- Continuous System Improvement: A self-improving system where feedback from arborists and the public continuously refines the AI model, ensuring long-term accuracy and value.
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| Additional Solution Information |
EMSD-樹木管理-Public.pptx
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| Info on I&T Solution Provider |
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