Title:
COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR PREDICTING AT LEAST ONE PARAMETER OF VARIATION IN AN ENVIRONMENTAL-PRESSURE SCORE ASSOCIATED WITH AT LEAST ONE STRUCTURE TO BE CONSTRUCTED IN AT LEAST ONE PREDETERMINED GEOGRAPHICAL REGION OF THE EARTH
Document Type and Number:
WIPO Patent Application WO/2022/254045
Kind Code:
A1
Abstract:
One of the objectives of this invention is to provide an objective and reproducible tool for evaluating the relevance of producing new constructions in a predetermined geographical region of the Earth. To do this, the inventors propose to train a machine-learning model using historic data with a view to predicting a score variation parameter that corresponds to a variation in at least one environmental-pressure score. In practice, the score variation parameter is representative of the environmental impact of a structure to be constructed in at least one predetermined geographical region of the Earth.
Inventors:
HABIB TAREK (FR)
Application Number:
PCT/EP2022/065302
Publication Date:
December 08, 2022
Filing Date:
June 06, 2022
Export Citation:
Assignee:
MURMURATION (FR)
International Classes:
G06Q10/06; G06F30/20; G06Q10/04; G06Q50/08
Foreign References:
| US20140214472A1 | 2014-07-31 | |||
| CN110135649A | 2019-08-16 | |||
| CN111047695B | 2020-11-10 | |||
| US20150178633A1 | 2015-06-25 |
Other References:
LEI SONG: "Spatio-temporal Incremental Data Modelling for Multidimensional Environmental Analysis Doc Thesis", 31 March 2014 (2014-03-31), pages 1 - 195, XP055639810, Retrieved from the Internet [retrieved on 20191107]
Attorney, Agent or Firm:
A.P.I. CONSEIL (FR)
Download PDF: