-
公开(公告)号:US20210088369A1
公开(公告)日:2021-03-25
申请号:US17031091
申请日:2020-09-24
申请人: ADS LLC
发明人: Daniel Redmond
摘要: One or more techniques and/or systems are disclosed for detecting the presence or formation of a blockage in a sewer system using a machine learning (ML) model. The ML model may be trained using a supervised learning method; and may be used to analyze various inputs from a sewer system to automatically sense developing sewer blockages. The systems and techniques described herein may also indicate the type of blockage that is forming, such as silt accumulation; sediment buildup; ragging; root intrusion; fats, oils, and grease (FOG), etc.) prior to a full blockage to allow preventative cleaning operations.