WO2018181116A1 - 情報処理装置、情報処理方法およびプログラム - Google Patents

情報処理装置、情報処理方法およびプログラム Download PDF

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Publication number
WO2018181116A1
WO2018181116A1 PCT/JP2018/012014 JP2018012014W WO2018181116A1 WO 2018181116 A1 WO2018181116 A1 WO 2018181116A1 JP 2018012014 W JP2018012014 W JP 2018012014W WO 2018181116 A1 WO2018181116 A1 WO 2018181116A1
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Prior art keywords
value
target device
statistical
state quantity
physical
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Ceased
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PCT/JP2018/012014
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English (en)
French (fr)
Japanese (ja)
Inventor
熊野　信太郎
真人 岸
圭介 山本
安部　克彦
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Mitsubishi Heavy Industries Ltd
Mitsubishi Power Ltd
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Mitsubishi Heavy Industries Ltd
Mitsubishi Hitachi Power Systems Ltd
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Application filed by Mitsubishi Heavy Industries Ltd, Mitsubishi Hitachi Power Systems Ltd filed Critical Mitsubishi Heavy Industries Ltd
Priority to DE112018001692.7T priority Critical patent/DE112018001692T5/de
Priority to CN201880020861.2A priority patent/CN110520807B/zh
Priority to US16/496,604 priority patent/US11378943B2/en
Publication of WO2018181116A1 publication Critical patent/WO2018181116A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Program-control systems
    • G05B19/02—Program-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41885—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
    • G05B23/0254—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Program-control systems
    • G05B19/02—Program-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Program-control systems
    • G05B19/02—Program-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/24—Pc safety
    • G05B2219/24075—Predict control element state changes, event changes
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32371—Predict failure time by analysing history fault logs of same machines in databases
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/37—Measurements
    • G05B2219/37252—Life of tool, service life, decay, wear estimation
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    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
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    • G06F30/15—Vehicle, aircraft or watercraft design
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
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    • G06F30/17—Mechanical parametric or variational design
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    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
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    • G06F30/34—Circuit design for reconfigurable circuits, e.g. field programmable gate arrays [FPGA] or programmable logic devices [PLD]

Definitions

  • the present invention relates to an information processing apparatus, an information processing method, and a program.
  • the monitoring device collects the state quantity of the target device such as temperature and pressure during operation of the target device constituting the plant, and uses the collected state quantity for maintenance and monitoring of the device. Is being considered. It has been proposed that a monitoring device processes operation data collected so that it can be easily used by an operator of the device, and performs maintenance and monitoring of the device. For example, Patent Document 1 proposes that when a computer detects a missing portion of collected industrial plant operation data, a complementary process is executed to calculate a missing state quantity value. In addition, it is known that models such as a physical model and a statistical model are used when setting the value of a missing state quantity by complement processing.
  • Patent Document 1 discloses that an information processing apparatus performs a complementing process to supplement a missing state quantity value, a specific method for setting a missing state quantity value is disclosed. It has not been.
  • Each of the models used for the complementing process has an adaptation condition set based on the operation status of the target device, and the more accurate the estimated data value is calculated as the adaptation condition is met.
  • the computer does not process the estimated value of the state quantity in consideration of each adaptation condition of the model and set it as the value of the state quantity.
  • This invention is made in view of said subject, Comprising: Based on the estimated value of the state quantity calculated by the several model, specifying the value of the state quantity used for management of an object apparatus appropriately Objective.
  • the information processing apparatus includes: a statistical estimation unit that estimates a state quantity value using a statistical model constructed based on a past state quantity value of the target apparatus; A physical estimation unit that estimates a value of a state quantity using a physical model constructed based on device design data; and a value estimated by the statistical estimation unit based on aged deterioration of the target device and the physical estimation unit And a specifying unit that specifies a value used for management of the target device from the estimated value.
  • the specifying unit is configured to determine the past state quantity value used for constructing the statistical model based on an amount of the past state quantity value.
  • the value used for management of the target device may be specified.
  • the specifying unit specifies a value used for management of the target device based on a predetermined application condition of the physical model. It may be a thing.
  • the specifying unit is used for managing the target device based on an operation time of the target device. It may specify a value.
  • the difference between the value estimated by the statistical estimation unit and the value estimated by the physical estimation unit is predetermined.
  • a notification unit that issues a notification when the value is greater than or equal to the value.
  • the information processing apparatus is based on a statistical model based on the value of the past state quantity used to construct the statistical model.
  • the model update unit may be further updated, and the specifying unit may specify a value used for managing the target device using the updated statistical model.
  • the specifying unit estimates the statistical estimation unit based on weighting according to aged deterioration of the target device.
  • a weighted average value between the measured value and the value estimated by the physical estimation unit may be specified as a value used for management of the target device.
  • an information processing method estimates a state quantity value using a statistical model constructed based on a past state quantity value of a target device; Estimating the value of the state quantity using a physical model constructed based on the design data, and using the value estimated using the statistical model and the physical model based on the aging of the target device And identifying a value used for management of the target device from the obtained value.
  • a program estimates a state quantity value using a statistical model constructed based on a past state quantity value of a target device in a computer; Estimating the value of the state quantity using a physical model constructed based on the design data of, and using the value estimated using the statistical model and the physical model based on the aging of the target device A value to be used for management of the target device is specified from the estimated value.
  • the information processing device identifies a value used for management of the target device from the statistical model estimation value and the physical model estimation value based on the aging degradation of the target device. . Thereby, the value of the state quantity used for management of the target device can be specified appropriately.
  • FIG. 1 is a schematic block diagram showing the configuration of the management system according to the first embodiment.
  • the management system 1 includes a target device 10, a plurality of measuring instruments 20, a communication device 30, and a management device 40.
  • the target device 10 is a device to be managed by the management device 40. Examples of the target device 10 include a gas turbine, a steam turbine, a boiler, a coal gasifier, and the like. It may also be a transportation system such as an environmental plant, a chemical plant, and an aircraft.
  • the measuring instrument 20 is provided in the target device 10 and measures a state quantity of the target device 10.
  • the communication device 30 transmits the measurement value of the state quantity measured by the measuring instrument 20 to the management device 40 via the network N.
  • the management device 40 manages the target device 10 based on the measurement value received from the communication device 30.
  • the management device 40 is an example of an information processing device.
  • FIG. 2 is a schematic block diagram illustrating the configuration of the management apparatus according to the first embodiment.
  • the management device 40 includes a measured value acquisition unit 401, a missing detection unit 402, a statistical model storage unit 403, a statistical estimation unit 404, a physical model storage unit 405, a physical estimation unit 406, and an operating time measurement unit 407. , A weight calculation unit 408, a specification unit 409, a management unit 410, a notification unit 411, and a statistical model update unit 412.
  • the measurement value acquisition unit 401 receives measurement values of state quantities measured by the plurality of measuring devices 20 from the communication device 30. Based on the plurality of measurement values acquired by the measurement value acquisition unit 401, the missing detection unit 402 detects a missing value among state quantities to be managed.
  • the missing value means a temporal or spatial loss. For example, when the management unit 410 manages the state quantity for each time ⁇ t and the measurement value at the time T and the measurement value at the time T + 2 ⁇ t are acquired, the missing detection unit 402 detects the lack of the measurement value at the time T + ⁇ t. To do.
  • the management unit 410 manages the state quantity for each distance ⁇ d
  • the measured values of the position (0, 0), the position (2 ⁇ d, 0), the position (0, 2 ⁇ d), and the position (2 ⁇ d, 2 ⁇ d) are If acquired, the lack of measured values at position (0, ⁇ d), position ( ⁇ d, 0), position ( ⁇ d, ⁇ d), position ( ⁇ d, 2 ⁇ d), and position (2 ⁇ d, ⁇ d) is detected.
  • the statistical model storage unit 403 stores a statistical model used for estimation by the statistical estimation unit 404.
  • the statistical model is a model that statistically reproduces the behavior of the target device 10 based on the value of the state quantity in the past operation of the target device 10.
  • the measurement value acquired by the measurement value acquisition unit 401 and the value specified by the specifying unit 409 are accumulated.
  • the statistical model is updated based on the accumulated value.
  • the accuracy of the statistical model improves with the accumulation of state quantity values. Examples of statistical models include multiple regression models, classification tree models, neural network models, autoregressive models, and the like.
  • the statistical estimation unit 404 estimates the state quantity value by applying the measurement value acquired by the measurement value acquisition unit 401 to the statistical model stored in the statistical model storage unit 403.
  • the value of the state quantity estimated by the statistical estimation unit 404 is referred to as a statistical estimated value.
  • the physical model storage unit 405 stores a physical model used for estimation by the physical estimation unit 406.
  • the physical model is a model that is constructed based on the design data of the target device 10 and reproduces the behavior of the target device 10 using a mathematical formula (for example, a thermodynamic equation) that follows the law of nature.
  • the accuracy of the estimated value based on the physical model generally decreases with the aging of the target device 10.
  • the degree of aging is an example of the application conditions of the physical model.
  • the physical estimation unit 406 estimates the value of the state quantity by applying the measurement value acquired by the measurement value acquisition unit 401 to the physical model stored in the physical model storage unit 405.
  • the value of the state quantity estimated by the physical estimation unit 406 is referred to as a physical estimation value.
  • the operation time measurement unit 407 monitors the measurement value acquired by the measurement value acquisition unit 401 and measures the operation time of the target device 10.
  • the operation time may be measured by an equivalent operation time or may be measured by real time.
  • the weight calculation unit 408 calculates a weight coefficient between the statistical estimation value and the physical estimation value based on the amount that changes according to the aging of the target device 10. Examples of the amount that changes according to the aging deterioration of the target device 10 include the operable time, remaining life, compressor efficiency, and exhaust gas temperature of the target device 10. In the first embodiment, the weight calculation unit 408 calculates the weighting factor based on the operation time measured by the operation time measurement unit 407.
  • the weight calculation unit 408 increases the weight coefficient of the statistical estimation value and decreases the weight coefficient of the physical estimation value as the operation time is longer (as the aging deterioration progresses). That is, the weight coefficient of the statistical estimation value monotonously increases with the degree of aging deterioration, and the weight coefficient of the physical estimation value monotonously decreases with the degree of aging deterioration.
  • the identifying unit 409 identifies the value of the state quantity based on the statistical estimated value and the physical estimated value relating to the state quantity in which the missing is detected by the missing detection unit 402. Specifically, the specifying unit 409 obtains a weighted average value of the statistical estimated value and the physical estimated value based on the weighting coefficient calculated by the weight calculating unit 408, and this is the state quantity in which the missing detection is detected by the missing detection unit 402 Specified as the value of.
  • the management unit 410 manages the target device 10 based on the measurement value acquired by the measurement value acquisition unit 401 and the value specified by the specifying unit 409.
  • Examples of management of the target device 10 include monitoring whether the state quantity of the target device 10 deviates from the allowable operating range, monitoring whether the output of the target device 10 satisfies the target, and the target device 10. Output a control signal.
  • the notification unit 411 issues a notification to the administrator when the physical estimated value and the statistical estimated value deviate by a predetermined value or more. The fact that the physical estimated value and the statistical estimated value are deviated indicates that the value accumulated in the statistical model storage unit 403 is deviated from the value obtained from the design information. In other words, the notification unit 411 can notify the administrator of a statistical model abnormality due to deterioration of the target device 10 or accumulation of abnormal measurement values.
  • the statistical model update unit 412 updates the statistical model based on the values accumulated in the statistical model storage unit 403.
  • FIG. 3 is a flowchart illustrating the operation of the management apparatus according to the first embodiment.
  • the measurement value acquisition unit 401 acquires the measurement value of the state quantity by the measuring device 20 from the communication device 30 (step S1).
  • the operation time measurement unit 407 measures the operation time of the target device 10 based on the measurement value acquired by the measurement value acquisition unit 401 (step S2).
  • the missing detection unit 402 detects a missing measurement value acquired by the measurement value acquisition unit 401 (step S3).
  • the statistical estimation unit 404 applies the measurement value acquired by the measurement value acquisition unit 401 to the statistical model, and estimates the value of the state quantity in which the loss is detected (step S4).
  • the physical estimation unit 406 applies the measurement value acquired by the measurement value acquisition unit 401 to the physical model, and estimates the value of the state quantity in which the loss is detected (step S5).
  • the notification unit 411 determines whether or not the difference between the statistical estimation value estimated by the statistical estimation unit 404 and the physical estimation value estimated by the physical estimation unit 406 is greater than or equal to a predetermined value (step S6).
  • step S6 YES
  • the notification unit 411 notifies the administrator of the occurrence of an abnormality in the target device 10 or the statistical model (step S7).
  • step S6 When the difference between the statistical estimated value and the physical estimated value is less than the predetermined value (step S6: NO), or when the notification unit 411 issues a notification to the administrator, the weight calculation unit 408 is measured by the driving time measurement unit 407. Based on the operated time, a weighting coefficient between the statistical estimated value and the physical estimated value is calculated (step S8).
  • the specifying unit 409 uses the weighting factor calculated by the weight calculating unit 408 to calculate the weighted average value of the statistical estimated value and the physical estimated value, thereby specifying the value of the physical quantity in which the omission is detected (step) S9).
  • the management unit 410 manages the target device 10 based on the measurement value acquired by the measurement value acquisition unit 401 and the value specified by the specifying unit 409 (step S10).
  • the target device 10 is a gas turbine
  • the target device 10 is changed based on the management value specified by changing the gas turbine output command value, changing the IGV opening setting, changing the fuel flow rate, or the like.
  • the measurement value acquisition unit 401 and the specifying unit 409 cause the statistical model storage unit 403 to accumulate the values used for managing the target device 10 (step S11).
  • the statistical model update unit 412 updates the statistical model based on the values accumulated in the statistical model storage unit 403 (step S12).
  • the statistical estimation unit 404 can estimate the value of the state quantity using the statistical model updated at the next management timing.
  • the management device 40 specifies a value used for management of the target device 10 from the statistical estimated value and the physical estimated value based on the aging of the target device 10. Thereby, the value of the state quantity used for management of the target apparatus 10 can be specified appropriately. In addition, it is known that aged deterioration will progress, so that the operation time of the object apparatus 10 becomes long. Therefore, as in the first embodiment, the management device 40 identifies the value used for management of the target device 10 based on the operation time of the target device 10, thereby managing the target device 10 according to aging degradation. The value of the state quantity to be used can be specified appropriately. On the other hand, in other embodiment, it is not restricted to this, You may specify the value used for management of the object apparatus 10 using the other quantity which changes according to aged deterioration like compressor efficiency and exhaust gas temperature. .
  • the management device 40 obtains a weighted average value of the statistical estimated value and the physical estimated value by the weighting coefficient according to the aging deterioration, and uses this for the state quantity used for management of the target device 10. Value.
  • the management device 40 may determine to use one of the statistical estimated value and the physical estimated value for managing the target device 10 according to the aging deterioration. This is equivalent to setting one of the weighting coefficient of the statistical estimation value and the weighting coefficient of the physical estimation value to 1 and setting the other to 0.
  • the management device 40 issues a notification when the difference between the statistical estimated value and the physical estimated value is greater than or equal to a predetermined value.
  • the management device 40 can notify the administrator when a statistical model abnormality occurs due to deterioration of the target device 10 or accumulation of abnormal measurement values.
  • the management device 40 according to another embodiment may not issue a notification based on the difference between the statistical estimated value and the physical estimated value.
  • the statistical estimation unit 404 can estimate the value of the state quantity using the statistical model updated at the previous management timing at each management timing. That is, according to the first embodiment, the statistical estimated value can be estimated more accurately by updating not only the statistical data but also the statistical model itself at each management timing.
  • the management apparatus 40 which concerns on 1st Embodiment updates a statistical model based on the value of the past state quantity, it is not restricted to this.
  • the management device 40 may accumulate the state quantity in the statistical model storage unit 403 while not updating the statistical model. Even in this case, the accuracy of estimation by the statistical model can be improved by accumulating values of past state quantities. For example, the estimated accuracy can be expected to be improved by accumulating data so that the estimated value of the average value approaches the true value according to the “Law of Large Numbers” and the range of dispersion is narrowed down.
  • the management device 40 according to the first embodiment specifies a value used for management of the target device 10 based on the operation time of the target device 10.
  • the management device 40 according to the second embodiment is based on the total number (amount) of state quantity values related to past operations of the target device 10 stored in the statistical model storage unit 403. Specify the value used to manage That is, the weight calculation unit 408 according to the second embodiment calculates the statistical estimation value weighting factor larger as the total number of values stored in the statistical model storage unit 403 increases, and calculates the physical estimation value weighting factor smaller. .
  • the weight calculation unit 408 can calculate the weight coefficient of the statistical estimation value by substituting the total number of values stored in the statistical model storage unit 403 into the arctangent function.
  • the weight calculation unit 408 monotonically increases the weight coefficient of the statistical estimation value to the total number of values stored in the statistical model storage unit 403 when the total number of values stored in the statistical model storage unit 403 is less than a predetermined value. (However, the range of values is 0 or more and 1 or less.)
  • the weight coefficient of the statistical estimation value may be 1.
  • FIG. 4 is a flowchart illustrating the operation of the management apparatus according to the second embodiment.
  • the measurement value acquisition unit 401 acquires a state quantity measurement value by the measuring instrument 20 from the communication apparatus 30 (step S ⁇ b> 101).
  • the operation time measurement unit 407 measures the operation time of the target device 10 based on the measurement value acquired by the measurement value acquisition unit 401 (step S102).
  • the missing detection unit 402 detects a missing measurement value acquired by the measurement value acquisition unit 401 (step S103).
  • the statistical estimation unit 404 applies the measurement value acquired by the measurement value acquisition unit 401 to the statistical model, and estimates the value of the state quantity in which the loss is detected (step S104).
  • the physical estimation unit 406 applies the measurement value acquired by the measurement value acquisition unit 401 to the physical model, and estimates the value of the state quantity in which the loss is detected (step S105).
  • the notification unit 411 determines whether or not the difference between the statistical estimation value estimated by the statistical estimation unit 404 and the physical estimation value estimated by the physical estimation unit 406 is greater than or equal to a predetermined value (step S106).
  • step S106 YES
  • the notification unit 411 notifies the administrator of the occurrence of an abnormality in the target device 10 or the statistical model (step S107).
  • the weight calculation unit 408 is stored in the statistical model storage unit 403. Based on the total number of values to be calculated, the weighting coefficient between the statistical estimated value and the physical estimated value is calculated (step S108).
  • the specifying unit 409 uses the weighting factor calculated by the weight calculating unit 408 to calculate the weighted average value of the statistical estimated value and the physical estimated value, thereby specifying the value of the physical quantity in which the omission is detected (step) S109).
  • the management unit 410 manages the target device 10 based on the measurement value acquired by the measurement value acquisition unit 401 and the value specified by the specifying unit 409 (step S110). Further, the measurement value acquisition unit 401 and the specifying unit 409 accumulate the values used for management of the target device 10 in the statistical model storage unit 403 (step S111). Then, the statistical model update unit 412 updates the statistical model based on the values accumulated in the statistical model storage unit 403 (step S112).
  • the management device 40 specifies the value used for management of the target device 10 based on the past value of the state quantity, thereby managing the target device 10 according to the aging deterioration.
  • the value of the state quantity used for can be specified appropriately.
  • the management apparatus 40 obtains a weighted average value of a statistical estimated value and a physical estimated value based on a weighting factor according to the total number of values stored in the statistical model storage unit 403, and targets this Although it is set as the value of the state quantity used for management of the apparatus 10, it is not restricted to this.
  • the management apparatus 40 determines to use either the statistical estimated value or the physical estimated value for managing the target apparatus 10 according to the total number of values stored in the statistical model storage unit 403. May be.
  • the management device 40 in the management system 1 according to the above-described embodiment has a function of extracting and specifying a value used for management of the target device 10, but is not limited thereto.
  • the management system 1 according to another embodiment includes an information processing device that extracts and specifies values used for management of the target device 10 separately from the management device 40.
  • the management device 40 is specified by the information processing device.
  • the target device 10 may be managed using the obtained value.
  • the management apparatus 40 which concerns on embodiment mentioned above acquires a measured value via the network N, it is not restricted to this.
  • the management apparatus according to another embodiment may acquire the measurement value directly from the measuring instrument 20. In this case, the management system 1 may not include the communication device 30.
  • the management device 40 obtains a value in which a loss is detected by estimation, but is not limited thereto.
  • the management device 40 obtains the value of the state quantity by estimation regardless of the presence or absence of the missing amount, and uses it for management of the target device 10 by weighted average of the measured value and the estimated value or by selection.
  • a value may be specified.
  • the management device 40 obtains or selects a weighted average of one statistical estimated value and one physical estimated value, but is not limited thereto.
  • the management device 40 generates a plurality of statistical estimation values related to one state quantity from a plurality of statistical models, or generates a plurality of physical estimation values related to one state quantity from a plurality of physical models. It may be generated.
  • the management device 40 specifies a value used for management of the target device 10 from among the plurality of statistical estimation values and the plurality of physical estimation values according to the aging degradation of the target device 10.
  • the management device 40 may specify a value used for managing the target device 10 based on the application conditions of the physical model. For example, when the physical model is a model having an application condition that the outside air temperature is X degrees Celsius and near 100% load, the weighted average based on the similarity between the real environment and the application condition or by selection A value used for management of the device 10 may be specified.
  • the management device 40 causes the measurement value acquisition unit 401 and the specification unit 409 to accumulate the values used for management of the target device 10 in the statistical model storage unit 403. I can't.
  • the data may be stored in a database external to the management device 40.
  • FIG. 5 is a schematic block diagram illustrating a configuration of a computer according to at least one embodiment.
  • the computer 90 includes a CPU 91, a main storage device 92, an auxiliary storage device 93, and an interface 94.
  • the management device 40 described above is mounted on the computer 90.
  • the operation of each processing unit described above is stored in the auxiliary storage device 93 in the form of a program.
  • the CPU 91 reads out the program from the auxiliary storage device 93 and develops it in the main storage device 92, and executes the above processing according to the program. Further, the CPU 91 secures a storage area corresponding to the above-described statistical model storage unit 403 and physical model storage unit 405 in the main storage device 92 according to the program.
  • auxiliary storage device 93 examples include an HDD (Hard Disk Drive), an SSD (Solid State Drive), a magnetic disk, a magneto-optical disk, a CD-ROM (Compact Disc Read Only Memory), and a DVD-ROM (Digital Versatile Disc Read Only. Memory), semiconductor memory, and the like.
  • the auxiliary storage device 93 may be an internal medium directly connected to the bus of the computer 90 or an external medium connected to the computer 90 via the interface 94 or a communication line. When this program is distributed to the computer 90 via a communication line, the computer 90 that has received the distribution may develop the program in the main storage device 92 and execute the above processing.
  • the auxiliary storage device 93 is a tangible storage medium that is not temporary.
  • the program may be for realizing a part of the functions described above. Further, the program may be a so-called difference file (difference program) that realizes the above-described function in combination with another program already stored in the auxiliary storage device 93.
  • difference file difference program
  • the information processing apparatus specifies a value used for management of the target apparatus from the estimated value of the statistical model and the estimated value of the physical model based on the aging of the target apparatus. Thereby, the value of the state quantity used for management of the target device can be specified appropriately.

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CN201880020861.2A CN110520807B (zh) 2017-03-29 2018-03-26 信息处理装置、信息处理方法以及存储介质
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US11378943B2 (en) 2022-07-05
DE112018001692T5 (de) 2019-12-19
US20210109511A1 (en) 2021-04-15

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