Development of AI-based fermenter bubble monitoring device
AI-based smart device is developed to detect the fermenter bubbles created in the tank with image segmentation
Microalgae Detection Device
Development of an intelligent online algae monitoring system with image acquisition capability of 10 fps or more, measurement range of 2-300 µm, measurement accuracy of 90% or more, and measurement accuracy of 95% or more with repeated measurement reliability for domestic aquatic ecological health assessment
Development of optical smart sensor for real-time water quality monitoring in sewage pipes
Development of an optical sensor capable of real-time/multi-item water quality monitoring in sewage piping and rainwater discharge for sewage operation management through wastewater treatment facility inflow load monitoring and river water quality management by CSOs
RO Membrane Plant
Remote Monitoring / Membrane Fouling Prediction / Anomaly Detection System Establishment
The operation status of remote membrane plants is monitored for membrane fouling of RO embryos using the IoT network to promptly detect plant conditions and to predict membrane contamination and detect anomalies through the construction of big data for diagnosing membrane conditions.
AI-based software development for MBR process optimization
Development of MBR process membrane contamination management and operation optimization technology using machine learning and deep learning to minimize operator intervention to reduce membrane maintenance costs
Anaerobic digestion tank diagnosis S/W development using big data and soft sensing
Developing a real-time monitoring system using machine learning-based soft sensing technology to detect abnormalities in anaerobic digestion plants and improve operational performance
Environmental infrastructure diagnosis and recovery prediction program development
Development of diagnosis technology through quantification of the degree of disaster damage to environmental facilities (wastewater and water treatment plants), development of technology for predicting plant recovery time, and optimization of restoration plan establishment
Development of Anammox process operation control software
Production of automatic operation control H/W and S/W for Anammox process operation based on user-defined operation control settings to derive optimal operating conditions for culturing Anammox microorganisms
Development of water quality and flow monitoring system S/W for underground storage facilities
Calculate the time available for water supply in the basin by predicting water usage through monitoring and analysis of water level in water tanks such as underground storage facilities installed in island areas, etc., and use this to provide the current status of water supply to residents and manage demand
Development of domestic commercial software technology for water impact analysis of water pipe network
Optimal pipe network operation for pipe network damage prediction and prevention, development of domestic commercial software technology for water impact analysis of water pipe network for optimal design of water pipe network in preparation for various scenarios
Establishment of integrated management system for small-scale water purification equipment
Establishment of a remote monitoring and control system for small-scale devices distributed in water treatment plants through remote access, confirmation of operation status and data inquiry of small-scale wastewater treatment devices by region, and remote access to secure unmanned operation basis through the establishment of a remote operation management system
Long-term ecological impact assessment & accident substance tracking using machine learning
The establishment of a machine learning-based system to analyze the behavior of substances in preparation for chemical accidents is crucial. This system aims to preprocess and compile various analysis data related to soil contamination following chemical accidents, creating a comprehensive database. Through machine learning analysis, the system will then analyze the behavior of substances to better prepare for future chemical accidents.
Development of energy-independent urban debris flow
The establishment of an integrated management technology for landslide monitoring, forecasting, and warning is crucial to mitigate the risks associated with landslides in urban areas. This technology aims to develop a remote monitoring system specifically designed for debris flows, considering rainfall and ground factors to enhance landslide management strategies.
Engineering technology development for raw material flexible biogas process improvement
The development of biogas production process engineering software is essential for achieving stable production and optimizing the biogas production process. This software aims to incorporate a linearized ADM and MPC to diagnose and improve the operation of the biogas production process.