Kabushiki Kaisha Toshiba

Osamu Yamanaka

Masahiko Tsutsumi

Akihiro Nagaiwa

Masajiro Nakada

Katsuya Yokokawa

Ryo Namba

Yasuhiko Nagamori

Tetsuya Shinohara

Hiroshi Yuuki

Toshiharu Sugino

Masaki Kunimi

Kazuhiro Horie

Yukio Hatsushika

A pressure estimator, based on information acquired by an acquirer and model information that includes connection information of nodes in a water distribution pipeline network, estimates water pressure at at least one part of the nodes in the water distribution pipeline network. An extractor extracts a minimum water pressure value from a plurality of water pressures that include the water pressure estimated by the pressure estimator. A controller controls an adjustor to adjust at least one of a water pressure and a flow rate of water flowing into the water distribution pipeline network, based on a minimum water pressure value extracted by the extractor.

Leakage suppression apparatus, leakage suppression system, and leakage suppression program

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.

Predicting system and predicting method configured to predict inflow volume of rainwater

A treated water quality control system (,) has a sewage inflow estimating unit (,) for estimating an inflow of sewage and a process data storage unit (,) for storing process data on a sewage treatment plant (,). An estimated sewage inflow estimated by the sewage inflow estimating unit (,) and process data read from the process data storage unit (,) are given to a manipulated variable calculating unit (,). The manipulated variable calculating unit (,) calculates values of manipulated variables to be used by a process controller (,) for controlling the sewage treatment plant (,). The values of the manipulated variables calculated by the manipulated variable calculating unit (,) and the process data read from the process data storage unit (,) are given to a process condition estimating arithmetic unit (,). Data on estimated process conditions estimated by the process condition estimating arithmetic unit (,) is given to the manipulated variable calculating unit (,), and then the manipulated variable calculating unit (,) calculates values of the manipulated variables again.

Apparatus for controlling quality of treated water

Growing community of inventors

Hachioji, Japan

Osamu Yamanaka