[IoT Case Study] Wastewater Treatment Plant Operational Status Visualized with IoT

Kyoei Kogyo Co., Ltd., Industrial Waste Treatment Business

We would like to introduce a case study of utilization at Keiyo Kogyo Co., Ltd. The company focuses on the collection and transportation of industrial waste and general waste, as well as waste disposal, with the New Sand Business Division operating two intermediate treatment facilities within Koto Ward. Aiming for further stable operation of wastewater treatment plant facilities that cannot be stopped 24 hours a day, 365 days a year, the company has conducted a Proof of Concept (PoC) for an IoT solution in collaboration with Conexio. Through the visualization and accumulation of continuous data, they have gained solid insights towards achieving comprehensive predictive maintenance in the future. For details such as configuration diagrams, please refer to the downloadable materials and look for "IoT Solution Implementation Case No. 001." 【Before Implementation (Challenges)】 - Focused on the effectiveness of predictive maintenance for a wastewater treatment plant that cannot be stopped 24 hours a day, 365 days a year. - Wanted to reduce the workload of emergency responses to sudden failures. - Aimed to standardize the perception and recognition accuracy of patrol inspections, which varies among individuals. 【After Implementation (Effects)】 - Expected to achieve comprehensive understanding of conditions that are difficult to monitor through human observation due to the visualization of continuous data. - Enabled remote confirmation of pump operation status, allowing for understanding of operational rates and changes in condition over time. - The insulation resistance values of underwater pumps, which cannot be visually inspected during patrols, are useful for predictive maintenance.

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