Automate cooling water management to improve power generation efficiency.
In thermal power plants, stable operation of equipment and improvement of power generation efficiency are required. The quality of cooling water affects equipment corrosion and scale deposition, leading to decreased power generation efficiency and potential failures. In particular, proper management of turbidity, color, and residual chlorine is essential for the stable operation of the cooling water system. This system monitors these water quality parameters in real-time and detects anomalies early, preventing equipment troubles and contributing to the maintenance of power generation efficiency. 【Usage Scenarios】 - Cooling water systems such as cooling towers and heat exchangers - Automation of water quality management - Early detection of water quality abnormalities 【Benefits of Implementation】 - Stable operation of equipment - Reduction of maintenance costs - Increased efficiency in water quality management tasks
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basic information
**Features** - Real-time monitoring of turbidity, color, and residual chlorine - Centralized management of measurement data in the cloud - Alarm function for detecting abnormal values - Remote data viewing capability - Streamlining of water quality management operations **Our Strengths** We provide the IoT/AI network infrastructure "M2MSTREAM" to realize a highly automated society. It seamlessly connects edge devices and the cloud, enabling fast automated processing through real-time data collection and analysis.
Price information
We will provide individual estimates. If you would like customization tailored to the specific use at the site, please consult with us.
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Applications/Examples of results
■ It can be used for water quality management at water purification plants. ■ It can be used to measure water quality standards to check for pollution in factory wastewater, helping to understand and improve the management of the discharge of specific chemical substances into the environment.
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Company information
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."









