Modern technologies allow data collection and processing to integrate smoothly into the pipe cleaning workflow, helping municipalities to save costs and focus maintenance attention on the pipe assets most in need. This presentation will discuss how smart cleaning nozzles collect (HD Video) data during pipe cleaning and how this data is assessed by Artificial Intelligence software that delivers decision-ready pipe status reports and helps suggesting next actions. Approximately 70% of sewer main lines do not require additional measures, presenting municipalities a huge opportunity to save costs by integrating cleaning data driven asset management.
Learning Objectives
1. Discuss the advantages of cleaning data driven asset management (evidenced by case studies)
2. Explain how (HD video) data can be gathered during cleaning
3. Explain how Artificial Intelligence software does cleaning data processing for us
4. Describe implementation methods for cleaning data driven asset management