Digital Transformation of Wastewater Treatment in Oil Refining using IoT/AI
M2MSTREAM
Automating wastewater treatment to support safe operations.
In the oil refining industry, ensuring safety in wastewater treatment is the top priority. The wastewater generated during the handling of crude oil and chemicals poses a risk of environmental pollution, making proper treatment essential. Manual water quality management carries the risk of accidents due to human error and oversight, and continuous monitoring around the clock is challenging. Our IoT/AI-driven digital transformation of wastewater treatment automates water quality monitoring, detects anomalies, and optimizes chemical dosing, supporting safe operations. 【Use Cases】 - Wastewater treatment plants - Automation of water quality management - Early response through anomaly detection 【Benefits of Implementation】 - Reduction of water quality pollution risks - Decrease in human errors - 24/7 monitoring - Cost reduction
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【Features】 - Remote surveillance system using cameras - Automation of various water quality measurements (interface meter, turbidity meter, colorimeter, SS meter, transparency meter) - Automation of scum recovery - Automatic dosing of sludge settling agents - Automation of air adjustment and dissolved oxygen management - Optimization of wastewater supply volume through valve control based on COD concentration - Automation of chemical inventory management 【Our Strengths】 We provide the IoT/AI network infrastructure "M2MSTREAM," which contributes to the realization of highly automated, unmanned, and remote societies. It enables high-speed automatic processing through real-time data collection and analysis, allowing for the rapid establishment of IoT/AI systems. Customization is available.
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Industrial wastewater treatment facilities for factories and plants.
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We provide the IoT/AI network infrastructure "M2MSTREAM," which seamlessly integrates sensing technology, artificial intelligence (AI), communication technology, information technology, and application technology, all of which are essential for realizing a highly automated, unmanned, and remote society. "M2MSTREAM" connects edge devices and the cloud seamlessly, enabling high-speed automated processing through real-time data collection and analysis. It has standard IoT functions necessary for collecting real-world data and remote operation of devices, allowing for the rapid construction of IoT/AI systems by customizing and adding AI functions. We contribute to the realization of a highly automated, unmanned, and remote society through "M2MSTREAM."