The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 05, 2002
Filed:
Feb. 22, 2000
Osamu Yamanaka, Fuchu, JP;
Akihiro Nagaiwa, Fuchu, JP;
Masajiro Nakada, Adachi-ku, JP;
Masahiko Tsutsumi, Fuchu, JP;
Kabushiki Kaisha Toshiba, Kawasaki, JP;
Abstract
A predicting system configured to predict an inflow volume of rainwater includes a rainfall volume measuring unit for measuring a rainfall volume that has fallen by a present time, a rainfall volume predicting unit for predicting a rainfall volume in a future, and an inflow-volume measuring unit for measuring an inflow volume of rainwater that has flown into an objective facility by the present time. The system also includes a model identification unit, which has a non-linear model having a Neural-Network model for calculating an inflow volume of rainwater from a rainfall volume, and which has a parameter determining part for determining a degree and coefficient parameters of the non-linear model, based on the rainfall volume that has fallen by the present time measured by the rainfall volume measuring unit and the inflow volume of rainwater that has flown into the objective facility by the present time measured by the inflow-volume measuring unit. An inflow-volume predicting unit is adapted to predict an inflow volume of rainwater flowing into the objective facility in the future, based on the rainfall volume in the future predicted by the rainfall volume predicting unit, according to the non-linear model determined by the model identification unit. Thus, the inflow volume of rainwater flowing into the objective facility can be predicted more accurately even if there is a non-linear relationship between the rainfall volume and the inflow volume of rainwater.