Real-time GIS-Based Sewer Risk Management System using IoT Sensors and AI
Real-time GIS-Based Sewer Risk Management System using IoT Sensors and AI
- The primary objective is to develop and implement a sophisticated, real-time sewer risk management system built upon a Geographic Information System (GIS) platform. This system will utilize data streams from strategically deployed IoT sensors and leverage advanced Artificial Intelligence (AI) algorithms, including Machine Learning (e.g., Ensemble Learning, SVM, Robust Regression) and Deep Learning (e.g., GNN, GCN, LSTM), for predictive analysis and risk assessment.
- Key functionalities include:
1) Sinkhole Risk Analysis: Analyzing and predicting sinkhole formation potential by integrating real-time IoT data with spatial information such as sewer pipe conditions, leak history, land use, groundwater levels, and surrounding underground infrastructure.
2) Illegal Discharge & Odor Source Identification: Detecting and locating sources of illegal wastewater discharge and problematic odors by analyzing patterns in water quality sensor data, location information, enforcement history, and time-series data using models like Graph Neural Networks (GNN).
3) Hazardous Gas Risk Assessment: Assessing the risk of hazardous gas accumulation (e.g., in manholes) by analyzing real-time gas sensor readings, sewage composition, historical incident data, and environmental factors using models like Long Short-Term Memory (LSTM) networks.
- The ultimate goal is to integrate these capabilities into a comprehensive 'System-of-Systems' architecture. This integrated platform will provide actionable insights for city authorities, enabling proactive maintenance scheduling, rapid emergency response, and overall improvement of urban sewage infrastructure safety, resilience, and operational efficiency.
- A9 Network infrastructure and platforms
- B17 Entertainment services and applications
- B8 IoT related services
No File
Contact
Company: EasyOn Inc.
Type of Organisation: SME
Country: Korea South
Web:
Telephone: +82-10-2993-0126
Brief description of my Organisation
- EasyOn Co., Ltd., established in 2012, positions itself with the vision "EASY Way to turn ON the future," aiming to open the world easily through new technologies and services. Headquartered in South Korea with global subsidiaries in the Philippines and collaborations in regions like Singapore and Europe, EasyOn operates primarily in two main business areas: Education Services and IT Services.
- Education Services: EasyOn focuses on Edu-Tech, providing top-tier online education with native speakers, particularly noted as the first in Korea to offer regular English courses in specialized high schools. They operate overseas English camps and teaching centers in the Philippines and offer diverse programs from basic conversation to test preparation (TOEIC, TOEFL, etc.). The service emphasizes accessibility, efficiency, innovative learning experiences, and data-driven education, supported by stable technical infrastructure.
- IT Services: The company offers custom software development (Web, App) and develops solutions incorporating AI, Big Data, Cloud, and Metaverse technologies. They specialize in data construction and analysis (video, audio, spatial) and engage in R&D, including international technology cooperation. Their IT goals focus on data-driven innovation, end-to-end optimization, user-centered technology, and sustainable IT governance. They leverage expertise in Big Data analytics and advanced AI technologies like NLP and video analysis.
- EasyOn holds various certifications like MAINBIZ, INNOBIZ, and Venture Business, along with AI patents and Big Data copyrights.
