グリッドリンク Product Lineup

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

In the hydropower generation industry, there is a demand for consideration of the environment and improvement of power generation efficiency. The quality of cooling water affects equipment corrosion and scale buildup, leading to decreased power generation efficiency and equipment failures. In particular, proper management of turbidity, color, and residual chlorine is essential for environmental conservation and stable operation. This system monitors these water quality parameters in real-time and detects anomalies early, thereby reducing environmental impact and preventing equipment troubles. 【Usage Scenarios】 - Cooling water systems such as cooling towers and heat exchangers - Automation of water quality management - Early detection of water quality anomalies 【Benefits of Implementation】 - Stable operation of equipment - Reduction of maintenance costs - Increased efficiency in water quality management tasks

In nuclear power plants, the management of cooling water quality is essential for the safety and stable operation of the equipment. 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 crucial for the stable operation of the cooling water system. This system monitors these water quality parameters in real-time and detects abnormalities early, preventing equipment troubles and supporting safe operation. 【Usage Scenarios】 - Cooling water systems such as cooling towers and heat exchangers - Automation of water quality management - Early detection of water quality anomalies 【Benefits of Implementation】 - Stable operation of equipment - Reduction in maintenance costs - Increased efficiency in water quality management tasks

In geothermal power generation, the effective utilization of geothermal resources and the stable operation of power generation equipment are crucial. 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 supporting the efficient operation of geothermal resources. 【Usage Scenarios】 - Cooling water systems such as cooling towers and heat exchangers - Automation of water quality management - Early detection of water quality anomalies 【Benefits of Implementation】 - Stable operation of equipment - Reduction of maintenance costs - Increased efficiency in water quality management tasks

In the steel industry, suppressing corrosion caused by cooling water is crucial for stable equipment operation and maintaining product quality. The quality of cooling water affects equipment corrosion and scale deposition, which can lead to equipment failures and a decline in product quality. In particular, proper management of turbidity, color, and residual chlorine is essential for the stable operation of cooling water systems. This system monitors these water quality parameters in real-time and detects anomalies early, preventing equipment troubles and suppressing corrosion. 【Usage Scenarios】 - Cooling water systems such as cooling towers and heat exchangers - Automation of water quality management - Early detection of water quality anomalies 【Benefits of Implementation】 - Stable equipment operation - Reduction of maintenance costs - Maintenance of product quality

In the process control of chemical plants, managing the quality of cooling water is essential for stable plant operation and maintaining product quality. The quality of cooling water can affect the corrosion and scaling of equipment such as heat exchangers, potentially leading to decreased process efficiency and deterioration of product quality. In particular, proper management of turbidity, color, and residual chlorine is crucial for the stable operation of cooling water systems. This system monitors these water quality parameters in real-time and detects anomalies early, preventing process troubles before they occur. [Usage Scenarios] - Cooling water systems such as cooling towers and heat exchangers - Automation of water quality management - Early detection of water quality anomalies [Benefits of Implementation] - Stable operation of equipment - Reduction of maintenance costs - Increased efficiency of water quality management tasks

In the food manufacturing industry, managing the quality of water used is crucial to ensure product quality and safety. In particular, the water used in the manufacturing process not only directly affects the taste and quality of the product but also needs to manage the risks of foreign substance contamination and bacterial growth. By properly managing water quality parameters such as turbidity, color, and residual chlorine, the risks of product quality deterioration and food poisoning can be reduced. This system monitors these water quality parameters in real-time and ensures food safety by detecting abnormalities early. 【Usage Scenarios】 - Food manufacturing lines - Cleaning processes - Cooling water systems 【Benefits of Implementation】 - Improved product quality - Reduced risk of food poisoning - Increased efficiency in water quality management tasks

In the semiconductor manufacturing industry, the management of ultrapure water quality, which affects product quality, is crucial. In particular, the contamination of impurities can adversely impact the manufacturing process, leading to reduced yield and product defects. This system monitors the turbidity, color, and residual chlorine of ultrapure water in real-time, enabling early detection of anomalies and supporting the production of high-quality products. 【Application Scenarios】 - Ultrapure water manufacturing process - Pure water supply line - Automation of water quality management 【Benefits of Implementation】 - Improvement in product quality - Enhancement of yield - Stabilization of the manufacturing process

In the urban water supply and drainage industry, the management of water quality at water treatment plants is crucial for ensuring a safe water supply. Water quality directly affects human health, so it must always be maintained in an appropriate condition. In particular, proper management of turbidity, color, and residual chlorine is essential for providing safe water. This system supports the supply of safe water by monitoring these water quality parameters in real-time and detecting anomalies early. 【Usage Scenarios】 - Water treatment plants - Automation of water quality management - Early detection of water quality anomalies 【Benefits of Implementation】 - Stable supply of safe water - Increased efficiency in water quality management operations - Reduced risk of health hazards

In the food manufacturing industry, there is a demand for the efficiency of wastewater treatment. In particular, thorough water quality management and the resolution of labor shortages are important challenges. Manual wastewater treatment not only requires time and effort but also has limitations in the accuracy of water quality management. Our IoT/AI-driven digital transformation of wastewater treatment addresses these challenges. 【Usage Scenarios】 - Wastewater treatment facilities in food manufacturing plants - Automation of water quality management - Resolution of labor shortages 【Benefits of Implementation】 - Improved accuracy of water quality management - Cost reduction through labor savings - Significant improvement in operational efficiency

In the chemical plant industry, water quality management and efficiency in wastewater treatment are important challenges. In particular, there is a need to respond to water quality fluctuations due to the discharge of diverse waste liquids, comply with regulations, and reduce operating costs. Manual water quality monitoring and chemical dosing carry risks of human error and delays, which may result in suboptimal treatment. Our IoT/AI-driven digital transformation of wastewater treatment addresses these challenges. 【Use Cases】 - Wastewater treatment facilities in chemical plants - Automation of water quality management - Optimization of chemical usage - Labor reduction through remote monitoring 【Benefits of Implementation】 - Real-time monitoring of water quality data - Cost reduction through optimization of chemical usage - Early detection and response to abnormalities - Reduction of operating costs through labor savings

In the pharmaceutical industry, strict management of water quality in the manufacturing process is required. The quality of wastewater treatment directly affects the quality of the products, so it is important to maintain a consistently stable water quality. Manual water quality management carries risks due to human error and delays in measurement. Our IoT/AI-based wastewater treatment digital transformation system automates water quality monitoring, scum recovery, automatic dosing of sludge settling agents, and streamlines chemical inventory management, contributing to improved quality control. 【Usage Scenarios】 - Wastewater treatment facilities in pharmaceutical factories - Streamlining water quality management - Strengthening quality control 【Benefits of Implementation】 - Real-time monitoring of water quality data - Optimization of chemical usage - Reduction of on-site workload

In the pulp and paper industry, there is a demand for improved energy efficiency in wastewater treatment. In particular, electricity consumption in the wastewater treatment process contributes to increased costs. Manual water quality management and chemical dosing can lead to human errors and delays in optimization, potentially reducing energy efficiency. Our IoT/AI-driven digital transformation of wastewater treatment contributes to energy savings and operational efficiency through the automation of water quality measurement, optimization of scum recovery, and automation of chemical dosing. 【Use Cases】 - Optimization of the wastewater treatment process - Automation of water quality management - Optimization of chemical usage 【Benefits of Implementation】 - Reduction in energy consumption - Cost savings through optimized chemical usage - Improvement in operational efficiency

In the semiconductor industry, the use of ultra-pure water in the manufacturing process and the advanced management of wastewater treatment associated with it are required. In particular, the contamination of fine particles and impurities directly affects product quality, making the precision of wastewater treatment crucial. Manual water quality management can be challenging to maintain in optimal condition due to human error and delays in measurement. Our IoT/AI-powered wastewater treatment digital transformation solution automates water quality monitoring, scum recovery, automatic dosing of sludge settling agents, aeration tank management, raw water tank and mixing tank management, and chemical inventory management, achieving high-precision water quality management. 【Usage Scenarios】 - Wastewater treatment facilities in semiconductor manufacturing plants - Locations requiring high-precision water quality management - Places where strict management of water pollutants is necessary 【Benefits of Implementation】 - Reduction of human errors through automation of water quality management - Rapid response through real-time collection and analysis of water quality data - Cost reduction through optimization of chemical usage - Improvement of product quality through stable water quality management

In the textile industry, reducing costs and minimizing environmental impact in wastewater treatment are important challenges. Optimizing the wastewater treatment process contributes to solving these issues. Manual water quality management and chemical dosing lead to increased labor costs and higher chemical usage, which drive up expenses. Our IoT/AI-based wastewater treatment digital transformation solution addresses these challenges. 【Usage Scenarios】 - Reducing labor costs through automation of the wastewater treatment process - Optimizing chemical usage through automation of water quality measurement - Improving the efficiency of site patrols through remote monitoring 【Benefits of Implementation】 - Reduction in costs associated with wastewater treatment - Improved accuracy in water quality management - Decreased environmental impact

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

At power plants, proper management of wastewater treatment facilities is required to comply with environmental regulations and ensure stable plant operations. In particular, monitoring water quality pollutants and detecting equipment anomalies are essential for legal compliance and safe plant operation. Manual monitoring and analog measurement methods carry risks of human error and oversight, making rapid response difficult. Our IoT/AI-based wastewater treatment digital transformation solution addresses these challenges. 【Usage Scenarios】 - Remote monitoring of wastewater treatment facilities - Automatic collection and analysis of water quality data - Anomaly detection and alert notifications - Automated chemical dosing management 【Benefits of Implementation】 - Establishment of a 24/7 water quality monitoring system - Reduction in labor costs - Rapid response to anomalies - Strengthened compliance with environmental regulations

In the seafood processing industry, thorough hygiene management in wastewater treatment is required to ensure food safety. In particular, wastewater generated during the manufacturing process can cause environmental pollution and adversely affect products if not properly treated. Our IoT/AI-driven digital transformation of wastewater treatment automates water quality monitoring, scum collection, sludge settling agent application, aeration tank management, raw water tank and mixing tank management, and chemical inventory management, contributing to enhanced hygiene management. 【Usage Scenarios】 - Wastewater treatment facilities in seafood processing plants - Wastewater treatment facilities in food manufacturing plants 【Benefits of Implementation】 - Increased efficiency in wastewater treatment - Optimization of water quality management - Optimization of chemical usage - Reduction of on-site workload