Intelligence driven method and system for multi-factor optimization of schedules and resource recommendations for smart construction
US11868933B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 10, 2022 |
| Grant date | Jan 9, 2024 |
| Priority date | — |
| Expiry date | Nov 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0475
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques to generate a digitally optimized schedule for a construction activity to meet a construction objective(s) of a construction project are disclosed. An artificial intelligence system receives a plurality of input data sets that impact the construction project. Each of the plurality of input data sets is processed to achieve the construction objective(s). The artificial intelligence system processes the plurality of input data sets using a respective ensemble of machine learning models. The artificial intelligence system generates machine learning validated intermediate output data sets corresponding to each of the plurality of input data sets. The artificial intelligence system implements a supervisory machine learning model to generate an optimized schedule for the construction activity based on the machine learning validated intermediate output data sets and the construction objective(s).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.