US 11,740,613 B2
Monitoring apparatus, monitoring method, computer program product, and model training apparatus
Yasunori Taguchi, Kawasaki Kanagawa (JP); Kouta Nakata, Kawasaki Kanagawa (JP); Susumu Naito, Kawasaki Kanagawa (JP); Yuichi Kato, Kawasaki Kanagawa (JP); Toshio Aoki, Yokohama Kanagawa (JP); Shinya Tominaga, Yokohama Kanagawa (JP); Isaku Nagura, Yokohama Kanagawa (JP); Ryota Miyake, Yokohama Kanagawa (JP); and Chikashi Miyamoto, Yokohama Kanagawa (JP)
Assigned to Kabushiki Kaisha Toshiba, Tokyo (JP); and Toshiba Energy Systems & Solutions Corporation, Kawasaki (JP)
Filed by KABUSHIKI KAISHA TOSHIBA, Tokyo (JP); and TOSHIBA ENERGY SYSTEMS & SOLUTIONS CORPORATION, Kawasaki (JP)
Filed on Feb. 25, 2021, as Appl. No. 17/185,882.
Claims priority of application No. 2020-084110 (JP), filed on May 12, 2020.
Prior Publication US 2021/0356943 A1, Nov. 18, 2021
Int. Cl. G05B 19/418 (2006.01); G06N 20/00 (2019.01); G06F 17/18 (2006.01)
CPC G05B 19/4183 (2013.01) [G06F 17/18 (2013.01); G06N 20/00 (2019.01)] 18 Claims
OG exemplary drawing
 
1. A monitoring apparatus comprising:
a hardware processor configured to:
acquire time-series measured data including one or more measured values output from one or more sensors installed in a system to be monitored;
acquire a prediction model that generates predicted data including one or more predicted values predicted to be output from the one or more sensors at a first time based on the measured data at or before first time;
acquire, as a past data, data including past information on a distribution representing a distribution of a measured value in a first period, with respect to time-series data including one or more measured values output from the one or more sensors before the time-series measured data in a time direction, the first period being a period of training data used to train the prediction model;
generate time-series predicted data based on the time-series measured data and the prediction model;
generate, for a first sensor among the one or more sensors, a displayed image including a measured value graph representing a temporal change in a measured value included in the time-series measured data in a second period that is a period after the first period, a predicted value graph representing a temporal change in a predicted value included in the time-series predicted data in the second period, the past distribution in the first period and a measurement distribution representing a distribution of the measured value included in the time-series measured data in the second period; and
cause a monitoring device to display the displayed image.