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    • 71. 发明专利
    • METHOD AND DEVICE FOR PREDICTING ELECTRIC POWER DEMAND
    • JPH08308108A
    • 1996-11-22
    • JP10341695
    • 1995-04-27
    • HITACHI LTD
    • ISHIDA TAKAHARUFUKUI CHIHIRO
    • H02J3/00
    • PURPOSE: To improve the power demand prediction accuracy of an electric power demand predicting device on a power system by accurately modeling the relation between the past demand of the system and factors affected the past demand. CONSTITUTION: An electric power demand predicting device is composed of a history data base recording the past electric power demand fetched from an objective power system and factors affected the demand, prediction executing device 105 which predicts a device which fetches affected factors for predicting the electric power demand of the system by using a model created by means of a predicting model creating and updating device which creates a data pre- processor predicting model for processing the data recorded in the data base to an easily usable form for predicting the demand, and actual demand fetching device which fetches an actual demand after prediction. Therefore, the future electric power demand of the system can be found with high accuracy based on the relation between the past electric power demand of the system and factors affected the demand.
    • 75. 发明专利
    • METHOD FOR PLANNING START STOP OF GENERATOR
    • JPH0515071A
    • 1993-01-22
    • JP16262491
    • 1991-07-03
    • HITACHI LTD
    • AMANO MASAHIKOFUKUI CHIHIROKAWAKAMI JUNZO
    • H02J3/46
    • PURPOSE:To obtain a solution which is close to an optimum one in a short time by calculating a value corresponding to whether each generator at each point is operated or not by using a neural network and then performing calculation so that an energy function becomes a minimum based on a sum of the calculation result. CONSTITUTION:A model-creation mechanism 12 creates a model of a neural net based on a content of a data-description portion 11. A demand at each power plant is described in the data-description portion 11. The model-creation mechanism 12 defines a neuron corresponding to an element of a schedule matrix and expresses constraint conditions and an evaluation function using an energy function, thus enabling a connection coefficient between the neurons to be determined according to a coefficient matrix. Then. a neural network operation mechanism 16 performs calculation based on the neural network model which is created by the model creation mechanism 12 and an initial value which is set by an initial-value setting mechanism 13 and allows the neural network to be operated.
    • 77. 发明专利
    • COMBINATION OPTIMIZATION DEVICE
    • JPH04195482A
    • 1992-07-15
    • JP32315690
    • 1990-11-28
    • HITACHI LTD
    • NAKANISHI KUNIOABE SHIGEOKAWAKAMI JUNZOFUKUI CHIHIROAMANO MASAHIKO
    • G06G7/00
    • PURPOSE:To obtain an end point which meets restriction conditions and where a target function is minimum or nearly minimum by varying an energy function by using an optional number of optional real numbers and varying the stability of the end point of a supercube. CONSTITUTION:When the energy function which is added to the target function by multiplying a restriction conditional expression by proper weight is represented as a polynomial of N optional variables, the energy function is varied while the values of the energy function at the end point of the N- dimensional supercube with N variables x1 to xN to vary the stability of the end point of the supercube. Then a differential equation is so adjusted to converge to various points when it is integrated. Consequently, when at least one point is found, N real numbers are determined by referring to at least one of those points at need to find a point which is small in the value of the energy function differently from the point which is already found by integrating the differential equation again.
    • 78. 发明专利
    • OPERATION SYSTEM FOR POWER SYSTEM
    • JPH02202322A
    • 1990-08-10
    • JP1816389
    • 1989-01-27
    • HITACHI LTD
    • WATABE TEIFUKUI CHIHIROKAWAKAMI JUNZOAMANO MASAHIKOKOMI YUTAKA
    • H02J3/00
    • PURPOSE:To facilitate the indication of data and the understanding of the contents of data processing by providing a unit element level data layer and a summarized element level data layer to the data base and by providing a processing layer to an operation processing means corresponding to each data layer consisting of the above unit element level data layer and the above summarized element level data layer. CONSTITUTION:An equipment data layer 11 is a unit element level data layer describing the data that sorts the equipment constituting a power system as a unit element. To a relay data layer 13 defined data of a protection relay is described. A substation level data layer 12 is a summarized element level data layer, in which the unit element belonging to an equipment data layer 11 is abstracted by the macroelements on a substation level. On the other hand, an operation relay data layer 14 is a layer to manage the data concerning the protection relay. An accident information processing layer 15 has a function to manage the accident information inputted from outside.
    • 79. 发明专利
    • ABNORMAL STATE DIAGNOSING DEVICE
    • JPS63310319A
    • 1988-12-19
    • JP14315387
    • 1987-06-10
    • HITACHI LTD
    • AMANO MASAHIKOKAWAKAMI JUNZOFUKUI CHIHIRO
    • G01R31/00G06Q10/04G08B19/00H02H3/00H02J13/00
    • PURPOSE:To enable an intelligence base to be easily produced, by describing the intelligence divided into every intelligence of some elements secured easily, and by combining the intelligent elements organically with an inference mechanism, to permit the mechanism to have function to produce rules automatically. CONSTITUTION:When an accident happens on an abnormal state diagnosing device for a substation, in the substation, then some protection relays coping with the accident are worked. The numbers of the worked protection relays are taken in via an input section 11, and by a fault-discriminating inference mechanism 13, through the worked relay numbers and fault discriminating rules 14, the accident is inferred, and a fault discriminating result for the sort of an equipment where the fault happens and for the sort of the fault is led. Then, via an output section 12, the output of the fault discriminating result is directed to an external section. The fault discriminating rules 14 are automatically produced by an intelligence base describing the general intelligence 16 of the relays, an intelligence 17 on the connection of the relays, an intelligence 18 on the connection of equipments, and the like on every intelligent element, and by a rule-producing inference mechanism 15.