Method for monitoring and analyzing large tunnel machines based on automatic collection of big data
US12037908B1 · kind B1 · utility
Assignees
Inventors
Key dates
| Filing date | Dec 13, 2023 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Dec 13, 2043 |
Classification
- Technology area (CPC E)Fixed Constructions
- CPC primaryE21F17/18
- WIPO fieldCivil engineering
- WIPO sectorOther fields
Abstract
A method for monitoring and analyzing large tunnel machines based on automatic collection of big data includes the following steps: dividing a tunnel operation area, obtaining environmental information of a tunnel operation sub-area, analyzing rock drilling difficulty of the tunnel operation sub-area, confirming a tunnel operation trajectory, analyzing conformity of the tunnel operation sub-area, processing an abnormal tunnel operation sub-area, and analyzing health state of a tunnel rock drill. According to the present disclosure, a rock drilling difficulty coefficient of each tunnel operation sub-area is used to analyze a corresponding steel rotating speed, and then the tunnel operation trajectory is confirmed. After the tunnel operation is completed, the operation conformity of each tunnel operation sub-area is analyzed, and each abnormal tunnel operation sub-area is screened out and processed accordingly.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.