Yokogawa Electric Corporation

Hidehiko Wada

Tetsuya Otani

Akira Nagashima

Kazuya Suzuki

Yuichi Sakuraba

Shunsuke Baba

Tomohiro Kuroda

Akio Nakabayashi

Masako Negishi

Yuichi Kashiyama

Toshiharu Yamakawa

Shouta Ukai

A plant model management device according to one embodiment includes a generation unit and a combining unit. The generation unit receives a first set of prior probability distributions of a first set of automatic operation parameters. The first set of automatic operation parameters define a condition required for modeling a plant model that is a model based on data concerning a plant. The generation unit generates a first set of posterior probability distributions of the first set of automatic operation parameters and a first set of probabilistic plant models based on the first set of prior probability distributions. The first set of posterior probability distributions reflect compatibility with learning data that is past time-series data concerning a first explanatory variable and a first objective variable. The combining unit combines the first set of probabilistic plant models using the first set of posterior probability distributions to generate a first plant model.

Device and method for managing plant model

There is provided a data similarity calculation method. The method includes: (a) acquiring a first waveform; (b) storing time series data; (c) converting the stored time series data into a waveform on two-dimensional coordinates, wherein the two-dimensional coordinates consists of a time axis and an a value axis representing values of the time series data, and the time axis is orthogonal to the value axis; (d) shifting the converted waveform in both directions of the time axis and the value axis so as to generate a second waveform; (e) calculating a similarity between the first waveform and the second waveform; and (f) extracting a shift amount in the direction of the time axis and a shift amount in the direction of the value axis when the similarity is the highest by repeatedly performing steps (d) and (e).

Data similarity calculation method and data similarity calculation apparatus

An improper communication detection system that acquires packets that are circulated through a plant network by mirroring and detects improper communication includes a storage unit configured to prestore a session whitelist, which is a list of sessions that can be generated in the plant network; a session determination/separation unit configured to make a determination as to a success or failure of session approval on the basis of the acquired packet and configured to generate session information indicating an approved session; and a first improper communication detection unit configured to compare the session information generated by the session determination/separation unit with the session whitelist, and configured to detect communication related to the relevant session as improper communication when the session information does not match any session in the session whitelist.

Improper communication detection system

A management system including: a management apparatus including a first control unit functioning as an agent; and at least one piece of field equipment connected to the management apparatus with communication connection, the field equipment including a field equipment main body and a second control unit functioning as a first service associated with the field equipment main body. The first service provides at least one of inputting and obtaining information to the corresponding field equipment main body, and the agent performs at least one of the inputting and the obtaining of the information to the field equipment main body through the corresponding first service based on a script describing access destinations and access contents in order.

Management system using scripts to transfer data among devices connected to a network

A production system wherein productagents are provided for products on a one-to-one basis and machine agent are provided for manufacturing equipment on a one-to-one basis, with the product agents and machine agents coordinating with each other to select a manufacturing equipment and cause manufacturing work to be done thereby; wherein the order of product manufacturing is changed depending on the priority of the product in the production system, with manufacturing work by a failed manufacturing equipment by suppressed, and another manufacturing equipment being substituted for the failed manufacturing equipment; wherein a precedence agent is provided that selects a manufacturing equipment ahead of a current manufacturing work and a backward agent is provided that remains backward and double manages working history along with the product agent; and wherein the machine agent manages depreciation information regarding the manufacturing equipment that the machine agent manages and measures the time the manufacturing equipment is used by the product agent, and the machine agent also calculates the cost generated by use of the manufacturing equipment by the product agent using the depreciation and time used information.

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Musashino, Japan

Hidehiko Wada