Case Study: Automation of Water Quality Testing Operations Using AI
Introduction of a case that achieved accurate and stable automatic quality judgment regardless of the environment, weather, or differences between day and night at each site!
This is an introduction to the case of implementing an "AI Automatic Drainage Monitoring System" at the Kyocera Yasu Plant. In the company's wastewater treatment facilities, workers traditionally visited three scattered wastewater treatment facilities within the plant three times a day to visually check the status of wastewater treatment. Due to labor shortages and the need for improved operational efficiency, there was a demand for the development of a system that could automatically determine the status. After the introduction of the "AI Automatic Drainage Monitoring System," the time spent on visual inspection tasks was reduced, and the burden on workers was alleviated. The expected time-saving effect after implementing the system at the three wastewater treatment facilities is estimated to be 504 hours annually. [Case Overview (Excerpt)] ■ Challenges - The visual inspection of the wastewater treatment status at the facilities required a considerable amount of time, and improvements in operations were necessary due to labor shortages and efficiency concerns. - In outdoor wastewater treatment facilities, the appearance of the water surface varies depending on the time of day and weather conditions, making automatic status determination by the system technically challenging. *For more details, please refer to the PDF document or feel free to contact us.
- Company：Rist
- Price：Other
