Systems and processes for optimizing operation of industrial equipment

This invention describes a system designed to prevent industrial machine breakdowns. It works by continuously monitoring various sensors on a machine and using a mathematical model to determine specific "pre-error" limits for key sensor readings. The system then alerts operators, often through a visual display, if a sensor's data approaches its pre-error limit, allowing for intervention before a failure occurs. The claims specifically focus on setting these pre-error limits and selecting the most relevant sensors for monitoring.

Why it matters: The core machine learning and statistical methods were available in 2021. However, the subsequent maturation of MLOps platforms and industrial IoT data integration tools has significantly streamlined the deployment and management of such predictive maintenance systems in real-world industrial settings. The primary remaining hurdle is acquiring sufficient, high-quality historical operational data for training the models.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, data integration, machine learning models

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10