Google patents AI model to adjust rock crushers in real time
Google has filed a patent for a system that uses a prediction model to adjust industrial crushing machines. The system measures the size and shape of rocks before and after crushing, then uses that data to fine-tune the machine's settings for better results.
In the filing’s own words
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for in-process adjustment to crushing systems. A method includes obtaining pre-crush particle data indicating characteristics of a portion of particles before crushing the portion of particles with a crushing system; obtaining settings data indicating one or more settings of the crushing system; obtaining post-crush particle data indicating characteristics of the portion of particles after crushing the portion of particles; and training a prediction model using the pre-crush particle data, the settings data, and the post-crush particle data, comprising: processing, using the prediction model, the pre-crush particle data and the settings data to obtain a corresponding output including predicted characteristics of the portion of particles after crushing the portion of particles with the crushing system; and adjusting parameters of the prediction model based on comparing the output of the prediction model to the post-crush particle data.
What exactly they claim (claim 1)
1.- 20. (canceled)
Facts
- Company
- Google (X Development LLC)
- Official title
- IN-PROCESS ADJUSTMENT TO CRUSHING SYSTEMS
- Publication number
- US20260273542A1
- Application number
- 19671022
- Filed
- May 7, 2026
- Published
- Sep 17, 2026
- Inventors
- 7
- Claims
- 21
Classified under
B02C 25/00 Operations & transportG05B 13/027 Physics & computingG05B 13/042 Physics & computingMore from Google in Robots & automation
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.