Hitachi, Ltd.

Masayuki Fukai

Satoru Shimizu

Akihiro Yamada

Takaaki Sekiai

Seiitsu Nigawara

Yoshiharu Hayashi

Naohiro Kusumi

Satoshi Kusaka

Toru Eguchi

Masashi Sugihara

Akira Sugano

Katsuhito Shimizu

Shigeaki Namba

Atsushi Takita

Masaki Kanada

Akio Ito

Takehiko Ikematsu

Hiroshi Yamada

Junzo Kawakami

Masao Takatoo

Tadaaki Kitamura

Hisanori Miyagaki

Tooru Kimura

Masayuki Kikuchi

Hashime Nagai

Chieko Onuma

Takekazu Maruyama

Haruya Tobita

Kengo Uda

Michihiro Iioka

Toru Kimura

Eiichi Kaminaga

Kazuo Furudate

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 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

A plurality of thermal power generation plantsare provided with a communication terminaland a function of controlling respectively a boiler control unit, a turbine control unitand an auxiliary machine sequence control unitbased on an operation signal inputted via the communication terminal. A remote control centerwhich is connected to the communication terminalvia the Internet, accesses the control units and remotely controls operating states including starting and stopping of the concerned thermal power generation plant

Power generation plant remote operation system

A power generation plant remote control and operation system is constituted by a plurality of thermal power generation plantseach of which is provided with a communication terminaland a function of controlling respectively a boiler control unit, a turbine control unitand an auxiliary machine sequence control unitbased on an operation signal inputted via the communication terminaland a remote control centerwhich is connected to the communication terminalvia an internet, accesses the control unitsandrepresenting control objects in the respective thermal power generation plantsand remotely controls operating states including starting and stopping of the concerned thermal power generation plant, further, the thermal power generation plantpays a consideration to the remote control centerbased on its own operating state controlled by the remote control center. Thereby, a system is provided in which the starting and stopping operation of electric power generation plants is performed remotely and automatically depending on the circumstance of machines and apparatuses of the respective plants or the same is performed semiautomatically and properly after being provided with a guidance.

A monitoring and control system is provided having a control device, arranged in a central controller room, which provides commands to power distribution panel switch gear located in the field. The switch gear transmits and receives controlling and monitoring signals through wireless communication applying an evanescent mode. The switch gear has a power circuit connected to a plurality of devices to be operated. The switch gear is a panel comprising metal and non-metal surfaces, so that a portion of wireless waves in the evanescent mode travel out of the panel. A receiver is provided for monitoring the wireless waves that travel out of the panel. The wireless signals are compared with information stored in a diagnostics database, and are diagnostically evaluated to determine whether the signals are within a known normal operating range.

Power distribution panel switch gear and a monitoring and control system having a distribution panel switch gear

A plurality of thermal power generation plantsare provided with a communication terminaland a function of controlling respectively a boiler control unita turbine control unitand an auxiliary machine sequence control unitbased on an operation signal inputted via the communication terminalA remote control centerwhich is connected to the communication terminalvia the Internetaccessses the control units and remotely controls operating states including starting and stopping of the concerned thermal power generation plant

Method of synchronous circuit opening of generator circuit breaker, and its control apparatus

A communication module of a controller for outputting a command relating to an operation and a monitor for auxiliaries to be operated and a communication module of a switch gear for generating information relating to a protection and an interlock for the auxiliaries to be operated are connected through a serial transmission cable wires. Each of the switch gears is connected each other through a serial transmission cable wires. By controlling a CPU in the switch gear, an activation of the auxiliaries to be protected which are connected to a power circuit is commanded and then the protection operation and the interlock operation for the auxiliaries to be operated are carried out. A small scale of the apparatus can be attained and the wiring cables can be lessened.

Distribution panel switch gear and monitoring and control system having

In a display method and a display unit, information which is required or often used by an operator is processed visually conspicuously by enlarged display or colored display in accordance with historical data such as the past running conditions of the plant, the number of times of operations by an operator, the frequency of operations, and so on, and the processed information is displayed on the display unit. The use of historical data permits an operator to readily recognize which equipment is in most need of attention due to repeated problems in the past.

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Hitachi, Japan

Masayuki Fukai