Sewer pipes are buried and out of sight. There is too little investment in them and they are deteriorating rapidly. There are millions of miles of sewer pipelines that need to be monitored to determine the condition and performance of this critical infrastructure. The main method used by utilities is CCTV video cameras mounted on tracked vehicles. Videos and photos of the inside of the pipe are evaluated by engineers trained in the art of detecting faults in sewer pipes. This time-consuming and expensive process, usually carried out on-site, is increasingly challenged by the use of AI and machine learning (ML) image recognition and recognition techniques. Learn how the integration of Autodesk's Info360 Asset SaaS asset management product and VAPAR's AI/ML tools will transform wastewater pipeline health assessments, resulting in huge cost and efficiency savings and productivity gains. Learn how these inspections are used to identify failure modes and determine the likelihood of failure and remaining life of assets.
- Learn how the water industry is solving problems related to aging and deteriorating wastewater infrastructure assets.
- Learn how and why Autodesk's desktop asset management products are migrating to the cloud.
- See how AI/ML is used for condition-based, tactical sewer capital improvement planning in Info360.
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