Hitachi, Ltd.

Satoru Shimizu

Takaaki Sekiai

Akihiro Yamada

Masayuki Fukai

Yoshiharu Hayashi

Yoshio Maruyama

Tooru Kimura

Naohiro Kusumi

Toru Eguchi

Masaki Kanada

Yasushi Hayasaka

Hidekazu Fujimura

Katsuhito Shimizu

Masao Furukawa

Yukiko Mouri

You Oosawa

Eiichi Kaminaga

Yo Osawa

A gas concentration estimation device of a coal-burning boiler adapted to estimate the concentration of the gas component included in an exhaust gas emitted from a coal-burning boiler using a neural network, including: a process database section adapted to store process data of a coal-burning boiler; a filtering processing section adapted to perform filtering processing for extracting data suitable for learning of a neural network from the process data stored in the process database section; a neural-network learning processing section adapted to perform learning processing of the neural network based on the data extracted by the filtering processing section and suitable for learning of the neural network; and a neural-network estimation processing section adapted to perform estimation processing of the CO concentration or the NOx concentration in the exhaust gas emitted from the coal-burning boiler based on the learning processing of the neural-network learning processing section.

Power plant control device which uses a model, a learning signal, a correction signal, and a manipulation signal

A plant control system includes: a numerical calculation execution part which calculates the operation characteristic of the plant; a model for simulating the plant control characteristic according to information on the numerical calculation result; a learning part which learns the plant operation method by using the model; a learning information database which stores learning information data on the learning part; a pattern generation part which generates pattern data expressing a state input based on the learning information data in the learning part with a smaller input number than the model input dimension; a pattern database which stores the pattern data generated in the pattern generation part; and a learning result determination part which selects a learning result having a preferable control effect from the learning result obtained by using a plurality of patterns.

Plant control apparatus that uses a model to simulate the plant and a pattern base containing state information

The plant control system has a measurement signal data database, a model to estimate the value of measurement signal data used at a time when an operation signal is given to the plant, and an operation signal learning unit to learn a method of generating a model input, which is equivalent to an operation signal, so that a model output, which is equivalent to the measurement signal data, attains a target value. The plant control system also has an evaluation function calculating unit to calculate an evaluation function value from the model output obtained as a result of an operation carried out by the operation signal learning unit for the model, and an evaluation function adjusting unit to adjust evaluation function parameters used in calculation of an evaluation function.

Plant control system and thermal power generation plant control system

A plant control apparatus has a measurement signal DB, an operation signal DB, a numerical value analysis executing unit, a numerical value analysis result DB, a model for estimating a value of a measurement signal for an operation signal, learning unit using the model, a learning information DB, a control logic DB for information used by an operation signal generating unit, a knowledge DB for plant running characteristics, and an analyzing unit processing information in the numerical value analysis result DB by information in the knowledge DB, learning information DB, operation signal DB, and measurement signal DB, wherein the analyzing unit includes at least one of a learning base analyzing unit checking adequacy of an operation method, a signal analyzing unit for evaluating an effect of the operation signal upon the plant and presence/absence of an abnormal signal, and a knowledge DB updating unit correcting information in the knowledge DB.

Plant control apparatus

A controlling device that includes a model that predicts the value of a measured signal obtained when an operation signal is given to a thermal power generation plant, a function that learns a method of generating a model input such that a model output satisfies the plant value, a function that determines an operation signal to be given to the plant according to the learning result, a database that stores measured signal limit values set in advance, an external input interface that fetches measured signals from the plant, a measured signal database that stores the values of the fetched measured signals, and a function that determines an initial value of the plant model output value by using limit values of the measured signals and at least one of an average value, a maximum value, and a minimum value that are calculated from the measured signals stored in a measured signal database.

Plant controlling device and method, thermal power plant, and its control method

Operation control method employable in a control apparatus controls a control object by calculating an operation amount to maximize or minimize an evaluation value obtained from a control deviation of the control object from a target value. The operation control method includes the steps of: establishing a model for simulating a property of the control object; calculating the operation amount to maximize or minimize an evaluation value based on a control deviation of the model as a target; calculating an evaluation value based on a control deviation in controlling the control object by the operation amount; and determining an operation amount change width defined by a difference between current step operation amount and next step operation amount, based on the deviation of the control object from the model in the evaluation value of the control deviation.

Operation control method, operation control device, and operation control system

A control device for a plant includes a manipulation signal generation section for generating the manipulation signal to the plant, a model adapted to simulate a characteristic of the plant, a learning section for generating an input signal of the model so that an output signal obtained by the model simulating the characteristic of the plant satisfies a predetermined target, a learning signal generation section for calculating a learning signal in accordance with a learning result in the learning section, a manipulation result evaluation section for calculating a first deviation as a deviation between a first measurement signal of the plant obtained as a result of application of a certain manipulation signal to the plant and a target value of the measurement signal, and a second deviation as a deviation between a second measurement signal of the plant obtained as a result of application of an updated manipulation signal to the plant and the target value, and a correction signal generation section for generating, when the second deviation calculated by the manipulation result evaluation section is greater than the first deviation, a correction signal of the manipulation signal to be generated by the manipulation signal generation section.

There is provided a control apparatus including a function of generating an operation signal applied to a control subject and a model that simulates characteristics of the control subject, a function of receiving an evaluation value signal calculated based on a measurement signal obtained by applying the operation signal to the control subject and the model, and a function of learning to generate the operation signal such that an expected value of the sum of the evaluation value signals obtained from a present state to a future state is either maximum or minimum in which the evaluation value signal calculated based on the measurement signal from the model is calculated by adding a first evaluation value obtained based on a deviation between the measurement signal obtained from the model and a setpoint value, and a second evaluation value obtained based on a difference in characteristics between the model and the control subject.

Plant control apparatus and method having functions of determining appropriate learning constraint conditions

A control system includes a basic control command operating unit, a fuel data storage unit, a running results database for storing past running results values of a control subject, a data creating unit configured to calculate a distance between data of the past running results values and the data sets and determining data set in which a distance between data becomes minimum, a modeling unit configured to model a relationship between operation parameters of a combustion apparatus and components in combustion gas of the combustion apparatus by using the data set determined by the data creating unit and a correcting unit for calculating combustion apparatus operation parameters with which components having a better condition than that of the components in a current gas are provided by using a model of the modeling unit and correcting operation command values of the basic control command operating unit by calculated operation parameters.

Control system for control subject having combustion unit and control system for plant having boiler

An objective is to quickly provide appropriate maintenance services at low costs during routine inspection procedures and/or upon occurrence of abnormal events at thermal power plants or stations. In a thermal power plant maintenance system comprising a control devicefor control of operation conditions and process amounts of plant equipment and a maintenance tooloperatively linked to the control devicevia a networkfor performing maintenance of a controlling controlleras built in the control device, the system further comprises a remote maintenance devicethat executes similar functions to those offered by the maintenance toolfor bidirectionally transferring plant data along with data concerning the controlling controller's status via a communications linebetween the maintenance tooland the remote maintenance deviceto thereby provide maintenance services of the thermal power plant of interest.

Method for providing power plant maintenance services

Documents used for process control can be managed and maintained from a document server and a terminal. In order to update the documents quickly so that an operated process is always kept in the most preferable state of operation, the document server stores and manages production documents used for actually controlling and monitoring a control system plant, whereas the terminal system is used to refer and edit plant documents. The terminal can synchronize contents of the plant documents in the document server with those in the control system before storing the synchronized plant documents in the terminal.

System and method for document management and synchronization

A steam temperature control system for a power plant for controlling a temperature of steam flowing through steam pipes connected to a heat exchanger to a target temperature by spraying water by means of a spray valve of an attemperator, having a target temperature calculation section for calculating the target temperature of the steam for determining the target temperatures of the plural steam pipes connected to the heat exchanger in respective steam pipes connected to a common heat exchanger; and an instruction value calculation section for calculating command values to the spray valves disposed to the respective steam pipes, based on the target temperatures determined by the calculation in the target temperature calculating section.

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Hitachi, Japan

Satoru Shimizu