WO2024080088A1 - 支援装置、支援方法及びプログラム - Google Patents

支援装置、支援方法及びプログラム Download PDF

Info

Publication number
WO2024080088A1
WO2024080088A1 PCT/JP2023/034088 JP2023034088W WO2024080088A1 WO 2024080088 A1 WO2024080088 A1 WO 2024080088A1 JP 2023034088 W JP2023034088 W JP 2023034088W WO 2024080088 A1 WO2024080088 A1 WO 2024080088A1
Authority
WO
WIPO (PCT)
Prior art keywords
plant
data
circulating material
unit
operational
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2023/034088
Other languages
English (en)
French (fr)
Japanese (ja)
Inventor
翔大 大野
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sumitomo Heavy Industries Ltd
Original Assignee
Sumitomo Heavy Industries Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sumitomo Heavy Industries Ltd filed Critical Sumitomo Heavy Industries Ltd
Priority to JP2024551353A priority Critical patent/JPWO2024080088A1/ja
Publication of WO2024080088A1 publication Critical patent/WO2024080088A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • 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
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F22—STEAM GENERATION
    • F22B—METHODS OF STEAM GENERATION; STEAM BOILERS
    • F22B35/00—Control systems for steam boilers
    • F22B35/18—Applications of computers to steam-boiler control

Definitions

  • the present invention relates to a support device, a support method, and a program.
  • the device described in Patent Document 1 has a prediction model that uses machine learning to train multiple results obtained by simulating multiple states of a manufacturing device as training data, and inputs at least a portion of information about a first state of the manufacturing device into the prediction model to calculate a second state of the manufacturing device.
  • the first state of the manufacturing device is a physical quantity that can be directly measured by a sensor or the like
  • the second state of the manufacturing device is a physical quantity that is very difficult to directly measure by a sensor or the like. Then, based on the results of the calculation of information about the second state of the manufacturing device, image information of the inside of the manufacturing device, which is difficult to observe, is generated, and the generated image information is displayed.
  • the device described in Patent Document 2 calculates simulation data when historical data for each model parameter is applied, and searches for the desired model parameters from within the historical data so as to obtain a high degree of agreement between the simulation data and the actual plant output.
  • the present invention was made in consideration of these circumstances, and aims to provide a support device, support method, and program that can reduce the processing load when outputting information about the flow state of materials inside a plant.
  • one embodiment of the support device of the present invention is a support device for supporting the operation of a plant, and includes a memory unit that stores reference data that associates analysis conditions including operational variables of the plant with analysis results corresponding to the analysis conditions, the analysis results including information indicating the flow state of a circulating material inside the plant, an acquisition unit that acquires operation data including operational variables in the operating state of the plant and sensor values detected by a sensor provided in the plant, and an output unit that outputs reference information regarding the reference data that corresponds to the operation data based on the reference data and the operation data.
  • a support method is a support method for supporting the operation of a plant, and includes the steps of: storing reference data that associates analysis conditions including plant operation variables with analysis results that include information indicating the flow state of a circulating material inside the plant and that correspond to the analysis conditions; acquiring operation data that includes operation variables in the operating state of the plant and sensor values detected by a sensor provided in the plant; and outputting reference information related to the reference data that corresponds to the operation data based on the reference data and the operation data.
  • a program causes a computer to execute the following processes: storing reference data that associates analysis conditions including operational variables of a plant with analysis results that correspond to the analysis conditions and include information indicating the flow state of circulating materials inside the plant; acquiring operation data that includes operational variables in the operating state of the plant and sensor values detected by sensors installed in the plant; and outputting reference information related to the reference data that corresponds to the operation data based on the reference data and the operation data.
  • information regarding the flow state of materials inside the plant is output by referring to reference data previously stored in the storage unit, so the processing load when outputting information regarding the flow state of materials inside the plant can be reduced compared to when the reference data is calculated each time a simulation is performed.
  • the present invention can reduce the processing load when outputting information about the flow state of materials inside a plant.
  • FIG. 1 is a schematic diagram showing an overall configuration of a plant according to a first embodiment.
  • FIG. FIG. 2 is a block diagram showing a functional configuration of the support device according to the embodiment.
  • 4 is a schematic diagram showing an example of data content of process data according to the embodiment;
  • FIG. 4 is a schematic diagram showing an example of data content of simulation data according to the embodiment;
  • FIG. 1 is a diagram for explaining an example of a method for estimating a flow state of a circulating material based on an internal image relating to the inside of a plant.
  • FIG. FIG. 13 is a diagram showing an example of a flow velocity vector of a circulating material based on a mathematical model.
  • 13 is a diagram showing an example of a flow direction of a circulating material based on an internal image relating to the inside of a plant.
  • 6B is a diagram showing a superimposition of flow velocity vectors of a circulating material based on the mathematical model shown in FIG. 6A and flow velocity vectors of a circulating material based on an internal image of the inside of a plant shown in FIG. 6B.
  • 13 is a flowchart showing the process of updating a mathematical model. 13 is a flowchart showing the processing contents of a display process of simulation data.
  • 11 is a diagram for explaining the operation of the support device according to the embodiment.
  • FIG. 11 is a diagram for explaining the operation of the support device according to the embodiment.
  • FIG. 13 is a diagram for explaining a method for estimating the flow state of a circulating material by a support device according to a second embodiment.
  • FIG. 4 is a schematic diagram showing an example of data content of process data according to the embodiment;
  • FIG. 4 is a schematic diagram showing an example of data content of simulation data according to the embodiment;
  • FIG. 1 is a schematic diagram showing the overall configuration of a plant according to a first embodiment of the present invention.
  • Plant 1 is, for example, a power generation plant (incineration plant) including a circulating fluidized bed boiler (Circulating Fluidized Bed type), and is equipped with a boiler that generates steam by burning fuel while circulating a circulating material such as silica sand that flows at high temperatures.
  • a power generation plant incineration plant
  • a circulating fluidized bed boiler Carculating Fluidized Bed type
  • non-fossil fuels such as wood biomass, waste tires, waste plastic, sludge, etc.
  • the steam generated in plant 1 is used to drive turbine 100.
  • plants that are the subject of the present invention are not limited to power generation plants and incineration plants that include boilers, but may be any plant from which process data can be obtained, such as chemical plants and wastewater treatment plants.
  • the plant 1 is configured to burn fuel in the furnace 2, separate the circulating material from the exhaust gas by the cyclone 3, which functions as a solid-gas separator, and return the separated circulating material to the furnace 2 for circulation.
  • the separated circulating material is returned to the bottom of the furnace 2 via the circulating material recovery pipe 4 connected below the cyclone 3.
  • the bottom of the circulating material recovery pipe 4 and the bottom of the furnace 2 are connected via a loop seal section 4a with a narrowed flow path. This leaves a predetermined amount of circulating material stored in the bottom of the circulating material recovery pipe 4.
  • the exhaust gas from which the circulating material has been removed by the cyclone 3 is supplied to the rear flue 5 via the exhaust gas flow path 3a.
  • the boiler comprises a furnace 2 for burning fuel, and a heat exchanger for generating steam and the like using heat obtained from the combustion.
  • a fuel supply port 2a for supplying fuel is provided in the middle of the furnace 2, and a gas outlet 2b for discharging combustion gas is provided in the upper part of the furnace 2.
  • Fuel supplied to the furnace 2 from a fuel supply device (not shown) is supplied to the interior of the furnace 2 via the fuel supply port 2a.
  • a furnace wall tube 6 for heating the boiler feed water is provided on the furnace wall of the furnace 2. The boiler feed water flowing through the furnace wall tube 6 is heated by combustion in the furnace 2.
  • the air for combustion and fluidization introduced from the lower air supply line 2c fluidizes the solids, including the fuel supplied from the fuel supply port 2a, and the fuel burns at about 800 to 900°C while flowing.
  • the combustion gas generated in the furnace 2 is introduced into the cyclone 3, carrying the circulating material with it.
  • the cyclone 3 separates the circulating material from the gas by centrifugal separation, and returns the separated circulating material to the furnace 2 via the circulating material recovery pipe 4, while sending the combustion gas from which the circulating material has been removed through the exhaust gas flow path 3a to the rear flue 5.
  • the in-furnace bed material In the furnace 2, a portion of the circulating material, called the in-furnace bed material, accumulates at the bottom.
  • This bed material may contain bed material with coarse particle size that is unsuitable for circulating flow and exhaust combustion impurities, and these bed materials that are unsuitable for circulating flow may cause poor flow. Therefore, in order to suppress poor flow, the in-furnace bed material is continuously or intermittently discharged to the outside from the outlet 2d at the bottom of the furnace 2. After unsuitable materials such as metals and coarse particle size are removed from the discharged bed material on a circulation line not shown, it is either supplied to the furnace 2 again or discarded as is.
  • the circulating material of the furnace 2 circulates in a circulation system consisting of the furnace 2, the cyclone 3, and the circulating material recovery pipe 4.
  • the rear flue 5 has a flow path that allows the gas discharged from the cyclone 3 to flow to the rear stage.
  • the rear flue 5 has a superheater 10 that generates superheated steam and an economizer 12 that preheats the boiler feed water as an exhaust heat recovery section that recovers heat from the exhaust gas.
  • the exhaust gas flowing through the rear flue 5 is cooled by heat exchange with the steam and boiler feed water flowing through the superheater 10 and the economizer 12. It also has a steam drum 8 that stores the boiler feed water that has passed through the economizer 12, and the steam drum 8 is also connected to the furnace wall 6.
  • the economizer 12 transfers heat from the exhaust gas to the boiler feed water to preheat the boiler feed water.
  • the economizer 12 is connected to the pump 7 by a pipe 21, and to the steam drum 8 by a pipe 22.
  • the boiler feed water is supplied from the pump 7 via the pipe 21 to the economizer 12, and is preheated by the economizer 12 and is supplied to the steam drum 8 via the pipe 22.
  • the steam drum 8 is connected to a downcomer pipe 8a and a furnace wall pipe 6.
  • the boiler feed water in the steam drum 8 flows down the downcomer pipe 8a, is introduced into the furnace wall pipe 6 at the bottom side of the furnace 2, and flows toward the steam drum 8.
  • the boiler feed water in the furnace wall pipe 6 is heated by the combustion heat generated in the furnace 2, and evaporates in the steam drum 8 to become steam.
  • a saturated steam pipe 8b that discharges the steam inside is connected to the steam drum 8.
  • the saturated steam pipe 8b connects the steam drum 8 to a superheater 10.
  • the steam inside the steam drum 8 is supplied to the superheater 10 via the saturated steam pipe 8b.
  • the superheater 10 uses the heat of the exhaust gas to superheat the steam to generate superheated steam.
  • the superheated steam passes through pipe 10a and is supplied to a turbine 100 outside the plant 1 and used for power generation.
  • the pressure and temperature of the steam discharged from the turbine 100 are lower than the pressure and temperature of the steam discharged from the superheater 10.
  • the pressure of the steam supplied to the turbine 100 is approximately 10-17 MPa, and the temperature is approximately 530-570°C.
  • the pressure of the steam discharged from the turbine 100 is approximately 3-5 MPa, and the temperature is approximately 350-400°C.
  • a condenser 102 is provided downstream of the turbine 100.
  • the steam discharged from the turbine 100 is supplied to the condenser 102, where it is condensed and returned to saturated water, and then supplied to the pump 7.
  • a generator is connected to the turbine 100, which converts the kinetic energy obtained by the rotation of the turbine 100 into electrical energy.
  • Pump 7a supplies makeup water to keep the water level in the condenser 102 constant.
  • Figure 1 shows the makeup water flow rate u1 supplied by pump 7a.
  • the process data handled in this embodiment may be any data related to the plant 1, but may be, for example, data measuring the state of the plant 1 by a sensor, and more specifically, may include measured values of the temperature, pressure, flow rate, etc. of the plant 1.
  • FIG. 1 shows the boiler feedwater flow rate u2 supplied from the pump 7 to the economizer 12.
  • FIG. 1 also shows the boiler outlet steam flow rate u3 supplied from the superheater 10 to the turbine 100, and the saturated steam flow rate u4 supplied from the steam drum 8 to the superheater 10.
  • the makeup water flow rate u1 may be controlled to follow the saturated steam flow rate u4.
  • the boiler feedwater flow rate u2 may be controlled to follow the adjustment.
  • the DCS Distributed Control System 20 monitors the process data of plant 1, such as the make-up water flow rate u1, boiler feedwater flow rate u2, boiler outlet steam flow rate u3, and saturated steam flow rate u4, to see if any abnormalities have occurred.
  • makeup water flow rate u1, boiler feed water flow rate u2, boiler outlet steam flow rate u3, and saturated steam flow rate u4 are exemplified as process data
  • the process data related to the plant 1 may be other data.
  • the process data related to the plant 1 may be other data such as temperature, pressure, etc.
  • FIG. 2 is a block diagram showing the control configuration of the support device 200 according to this embodiment.
  • the support device 200 is a device for supporting the operation of the plant 1, and for example, by inputting analysis conditions including the operational variables of the plant 1 into the mathematical model 224, information indicating the flow state of the circulating material inside the plant 1, which is included in the analysis results corresponding to the analysis conditions, is output from the mathematical model 224.
  • the operational variables of the plant 1 include, for example, the temperature, pressure, and flow rate of the plant 1.
  • the mathematical model 224 is a model for reproducing, by simulation, the flow state of the circulating material inside the plant 1 under specified analysis conditions. Then, the support device 200 generates an image indicating the flow state of the circulating material based on the information output from the mathematical model 224, and displays the generated image.
  • the support device 200 includes, for example, a control unit 210 and a storage unit 220.
  • the control unit 210 is realized by, for example, a hardware processor such as a CPU (Central Processing Unit) executing a program (software).
  • a hardware processor such as a CPU (Central Processing Unit) executing a program (software).
  • some or all of these components may be realized by hardware (including circuitry) such as an LSI (Large Scale Integration), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or a GPU (Graphics Processing Unit), or may be realized by a combination of software and hardware.
  • LSI Large Scale Integration
  • ASIC Application Specific Integrated Circuit
  • FPGA Field-Programmable Gate Array
  • GPU Graphics Processing Unit
  • the program may be stored in advance in a computer-readable recording device such as an HDD or flash memory of the support device 200, or may be stored in a removable computer-readable recording medium such as a DVD or CD-ROM, and may be installed in the HDD or flash memory of the support device 200 by attaching the computer-readable recording medium to a drive device.
  • a computer-readable recording device such as an HDD or flash memory of the support device 200
  • a removable computer-readable recording medium such as a DVD or CD-ROM
  • the support device 200 is connected to, for example, a DCS 20 (distributed control system), an input device 110, and a display device 120.
  • DCS 20 distributed control system
  • the DCS 20 acquires data detected by sensors installed inside the plant 1 during operation of the plant 1 as process data 222 during operation of the plant 1, and outputs the data to the support device 200.
  • the process data 222 is an example of operation data.
  • the input device 110 receives, for example, an operation for changing the parameters of the manipulated variables of the plant 1.
  • the input device 110 inputs, for example, analysis conditions including the changed manipulated variables of the plant 1 to the mathematical model 224.
  • the display device 120 displays, for example, an image showing the flow state of the circulating material generated by the support device 200. For example, when an operation to change the parameters of the operating variables of the plant 1 is input to the input device 110, the display device 120 displays an image showing the flow state of the circulating material obtained by inputting the analysis conditions including the changed operating variables of the plant 1 into the mathematical model 224.
  • the control unit 210 includes, for example, a reception unit 211, an information acquisition unit 212, an image acquisition unit 213, an image processing unit 214, a simulator unit 215, a calculation unit 216, and an output unit 217.
  • the reception unit 211 receives changes to the parameters of the manipulated variables of the plant 1. For example, when an operation to change the parameters of the manipulated variables of the plant 1 is input to the input device 110, the reception unit 211 receives the changed parameters of the manipulated variables of the plant 1 from the input device 110.
  • the reception unit 211 also receives input of model parameters of the mathematical model 224. For example, when an operation for setting an initial value of a model parameter of the mathematical model 224 is input to the input device 110, the reception unit 211 receives the initial value of the model parameter from the input device 110 and applies it to the mathematical model 224.
  • the information acquisition unit 212 acquires operation data including operation variables during the operation of the plant 1 and sensor values detected by sensors installed in the plant 1. For example, the information acquisition unit 212 acquires process data 222 during the operation of the plant 1 from the plant 1 via the DCS 20 and stores the data in the memory unit 220.
  • the process data 222 has analysis conditions and monitor values associated with data IDs.
  • the analysis conditions include multiple operation variables of the plant 1 at the time of acquiring the process data 222 to be analyzed.
  • the monitor values include, for example, position information and sensor values.
  • the position information is information about the position of each of multiple sensors installed inside the plant 1.
  • the sensor values are values detected by each of the multiple sensors and include information about the flow state of the circulating material.
  • the flow state of the circulating material includes, for example, information about the flow direction of the circulating material.
  • the position information is represented by two-dimensional coordinates when the information about the flow state of the circulating material is visualized on the screen of the display device 120.
  • the sensor value is information about the flow direction of the circulating material for each position inside the plant 1 and is represented by the angle of the flow direction of the circulating material centered on the origin in the reference coordinate system.
  • the image acquisition unit 213 acquires internal images relating to the interior of the plant 1. Images relating to the interior of the plant 1 include not only images directly taken of the interior of the plant 1 by a camera or the like, but also images generated based on the detection results of a sensor installed inside the plant 1, etc.
  • the image processing unit 214 includes, for example, a damage determination unit 214A.
  • the damage determination unit 214A performs image processing on the internal image of the inside of the plant 1 acquired by the image acquisition unit 213, thereby determining damaged parts of the plant 1.
  • the analysis execution unit 215A inputs the analysis conditions including the operation variables of the plant 1 into the mathematical model 224 and analyzes information indicating the flow state of the circulating material inside the plant 1 contained in the analysis results corresponding to the analysis conditions.
  • the analysis execution unit 215A stores in the storage unit 220 simulation data 223 in which the analysis conditions including the operation variables of the plant 1 and the analysis results corresponding to the analysis conditions are associated.
  • the simulation data 223 is an example of reference data.
  • the analysis execution unit 215A stores in the storage unit 220, for example, simulation data 223 in which multiple analysis conditions are associated with analysis results corresponding to each of the multiple analysis conditions.
  • the analysis execution unit 215A analyzes information indicating the flow state of the circulating material inside the plant 1 corresponding to the changed parameters.
  • the simulation data 223 has input data and output data associated with a data ID.
  • the input data is data input to the mathematical model 224, and includes a plurality of analysis conditions when analyzing the simulation data 223.
  • the output data is data output from the mathematical model 224, and includes, for example, position information and a monitor point.
  • the position information includes information indicating the part of the plant 1.
  • the monitor point is information analyzed by the mathematical model 224 for each part of the plant 1, and includes information regarding the flow state of the circulating material.
  • the position information is represented by two-dimensional coordinates when the information regarding the flow state of the circulating material is visualized on the screen of the display device 120.
  • the sensor value is information regarding the flow direction of the circulating material for each position inside the plant 1, and is represented by the angle of the flow direction of the circulating material centered on the origin in the reference coordinate system.
  • the model update unit 215B updates the mathematical model 224 based on the flow state of the circulating material inside the plant 1 estimated based on the internal image of the inside of the plant 1 acquired by the image acquisition unit 213, and information indicating the flow state of the circulating material included in the analysis results of the simulation data 223 stored in the memory unit 220.
  • the estimation of the flow state of the circulating material inside the plant 1 based on the internal image of the plant 1 is performed manually, for example, by the operator of the plant 1. For example, the operator of the plant 1 visually checks the extension direction of the damaged part of the plant 1 based on one internal image of the plant 1, and estimates the flow direction of the circulating material based on the extension direction of the damaged part of the plant 1.
  • FIG. 5 is a diagram for explaining an example of a method for estimating the flow state of the circulating material based on an internal image of the inside of the plant 1.
  • the damage determination unit 214A determines the damaged part of the plant 1 in advance based on the internal image of the plant 1.
  • the operator of the plant 1 first visually confirms that the extension direction of the damaged part of the plant 1 is along the up-down direction based on the internal image of the plant 1.
  • the operator of the plant 1 estimates the direction from one side to the other side along the extension direction of the damaged part of the plant 1 (upward in this example) as the flow direction of the circulating material inside the plant 1.
  • the operator of plant 1 compares the extension direction of the damaged portion of plant 1 with the direction of the flow velocity vector corresponding to the damaged portion of plant 1 analyzed based on mathematical model 224, and estimates that of the two directions along the extension direction of the damaged portion of plant 1, the direction that is relatively closer to the direction of the flow velocity vector is the flow direction of the circulating material inside plant 1.
  • FIG. 6A is a diagram showing an example of a flow velocity vector of the circulating material based on the mathematical model 224.
  • information indicating the flow state of the circulating material inside the plant 1, which is included in the analysis results of the mathematical model 224, is visualized and displayed.
  • the information indicating the flow state of the circulating material includes the flow direction of the circulating material at each part of the plant 1.
  • the direction of the arrow in the figure indicates the flow direction of the circulating material
  • the length of the arrow in the figure indicates the flow speed of the circulating material.
  • the configuration of the arrows is similar in the other figures.
  • FIG. 6B is a diagram showing an example of the flow direction of the circulating material based on an internal image of the inside of plant 1.
  • the flow direction of the circulating material inside plant 1 is visualized and displayed for each part of plant 1.
  • Fig. 6C is a diagram showing the flow velocity vector of the circulating material based on the mathematical model 224 shown in Fig. 6A and the flow velocity vector of the circulating material based on the internal image of the inside of the plant 1 shown in Fig. 6B superimposed on each other.
  • the model update unit 215B updates the model parameters of the mathematical model 224 so as to reduce this deviation.
  • the model update unit 215B sets an evaluation function shown in the following [Equation 1] to search for an optimal value S of the model parameters.
  • model update unit 215B may set a weight for each flow velocity vector and set the evaluation function shown in Equation 2.
  • model update unit 215B may set the evaluation function shown in Equation 3 so as to reduce the inner product of the unit vectors of each flow velocity vector.
  • the calculation unit 216 calculates the similarity between the simulation data 223 stored in the storage unit 220 and the process data 222 acquired by the information acquisition unit 212.
  • the calculation unit 216 calculates the similarity between the simulation data 223 and the process data 222 based on, for example, the similarity between a plurality of manipulated variables included in the process data 222 and analysis conditions corresponding to each of the plurality of manipulated variables and included in the simulation data 223, and the similarity between a plurality of sensor values included in the process data 222 and monitor points corresponding to each of the plurality of sensor values and included in the simulation data 223.
  • the calculation unit 216 calculates the above-mentioned similarity as a Euclidean distance based on the following [Equation 4], for example, with the plurality of manipulated variables and the plurality of sensor values as pn, and the analysis conditions corresponding to each of the plurality of manipulated variables and the monitor points corresponding to each of the plurality of sensor values as qn.
  • the output unit 217 Based on the simulation data 223 and the process data 222, the output unit 217 outputs, as an example of reference information, information on the analysis conditions included in the simulation data 223 corresponding to the process data 222 and the monitor points associated with the position information. For example, the output unit 217 outputs the reference information based on the similarity between the simulation data 223 and the process data 222 calculated by the calculation unit 216. The output unit 217 outputs the reference information of the simulation data 223 stored in the storage unit 220 that has the maximum similarity to the process data 222 calculated by the calculation unit 216.
  • the output unit 217 calculates, for each data ID included in the simulation data 223, the similarity between the multiple operation variables and the analysis conditions corresponding to each of the multiple operation variables, and calculates the similarity between the multiple sensor values and the monitor points corresponding to each of the multiple sensor values. Then, based on these similarities, the output unit 217 determines the data ID that maximizes the similarity between the process data 222 and the simulation data 223, and outputs information on the multiple manipulated variables corresponding to the determined data ID and the multiple monitor points associated with the position information as reference information.
  • the image acquisition unit 213 first acquires an internal image relating to the inside of the plant 1 (step S10).
  • the damage determination unit 214A performs image processing on the internal image acquired in the previous step S10 to determine the damaged parts of the plant 1 from the internal image (step S11). Based on the damaged parts of the plant 1 thus determined, the flow state of the circulating material is manually estimated by the operator of the plant 1, and the estimation process based on the internal image is completed.
  • the model update unit 215B applies the initial values of the model parameters accepted by the acceptance unit 211 to the mathematical model 224 to set the mathematical model 224 (step S12).
  • the analysis execution unit 215A inputs the analysis conditions received by the reception unit 211 into the mathematical model 224 to analyze the flow state of the circulating material inside the plant 1 (step S13).
  • the analysis execution unit 215A outputs the analysis results regarding the flow state of the circulating material analyzed in the previous step S13 (step S14), and the analysis process based on the mathematical model 224 ends.
  • the model update unit 215B evaluates the mathematical model 224 based on a comparison between the flow state of the circulating material estimated by the estimation process based on the internal image described above and the flow state of the circulating material analyzed by the analysis process based on the mathematical model 224 described above (step S15).
  • step S16 NO
  • the model update unit 215B optimizes the model parameters of the mathematical model 224 (step S17), returns the process to step S12, and repeats the processes of steps S12 to S17 until the evaluation result of the mathematical model 224 satisfies the predetermined condition.
  • step S16 YES
  • the model update unit 215B ends the update process of the mathematical model 224 shown in Figure 7.
  • the information acquisition unit 212 first acquires process data 222 from the plant 1 via the DCS 20 (step S20).
  • the calculation unit 216 evaluates the similarity between the process data 222 acquired in the previous step S20 and the simulation data 223 stored in the memory unit 220 (step S21).
  • the output unit 217 selects, from among the simulation data 223 stored in the memory unit 220, the simulation data 223 that was evaluated in the previous step S21 as having the highest similarity to the process data 222 (step S22).
  • the output unit 217 outputs the simulation data 223 selected in the previous step S22 to the display device 120 for display (step S23).
  • the output unit 217 outputs the simulation data 223 selected in the previous step S25 to the display device 120 for display (step S26).
  • step S24 NO
  • the output unit 217 ends the display process of the simulation data 223 shown in FIG. 8 without going through the processes of steps S25 to S27.
  • the support device 200 when the support device 200 executes a simulation of the flow state of the circulating material, it first compares the process data 222 indicating the current operating state of the plant 1 with the simulation data 223 corresponding to a plurality of analysis conditions stored in the storage unit 220. The support device 200 also selects the simulation data 223 having the highest similarity to the process data 222, and displays the analysis conditions corresponding to the selected simulation data 223 on the display device 120. When the operator of the plant 1 operates the icon IA on the display device 120, the support device 200 starts executing the simulation. In this case, as shown in FIG. 9B, the support device 200 displays a simulation image GB indicating the flow state of the circulating material under the above-mentioned analysis conditions on the display device 120.
  • the support device 200 also displays an internal image GA of the inside of the plant 1 corresponding to each position of the plant 1 in association with the simulation image GB indicating the flow state of the circulating material. That is, the support device 200 outputs the internal image GA acquired by the image acquisition unit 213 in association with information indicating the part of the plant 1. In addition, the support device 200 displays an image GC showing the flow direction of the circulating material estimated based on an internal image GA of the inside of the plant 1 at a position corresponding to the internal image GA of the inside of the plant 1, superimposed on a simulation image GB showing the flow state of the circulating material.
  • the internal flow information including the flow direction of the circulating material estimated based on the internal image GA acquired by the image acquisition unit 213 is further associated with information showing the parts of the plant 1 and output. Then, in addition to the simulation image GB showing the flow state of the circulating material, the internal image GA of the inside of the plant 1 and the image GC showing the flow direction of the circulating material estimated based on the internal image GA are displayed superimposed in a state corresponding to the simulation image GB, so that information on the flow state of the circulating material can be grasped more accurately.
  • the support device 200 accepts changes to the analysis conditions of the simulation data, and when some parameters are changed, it refers to the analysis conditions of the simulation data stored in the memory unit 220 and searches for analysis conditions that correspond to the changed parameters.
  • the support device 200 displays a simulation image GB on the display device 120, which shows the flow state of the circulating material under the searched analysis conditions.
  • this is a diagram for explaining an example of a method for estimating the flow state of the circulating material based on an internal image GA of the inside of the plant 1 in the support device 200 according to this embodiment.
  • the operator of the plant 1 analyzes the time-dependent changes in the damaged parts of the plant 1 that were determined in advance, using multiple internal images GA taken at different times. This makes it possible to grasp not only the extension direction of the damaged parts of the plant 1, but also the amount of extension of the damaged parts of the plant 1 over a specified period of time, and makes it possible to estimate the flow speed of the circulating material in addition to the flow direction of the circulating material.
  • the 11 is a diagram showing an example of the data contents of the process data 222A.
  • the process data 222A has analysis conditions and monitor values associated with the data ID.
  • the analysis conditions include multiple operational variables of the plant 1 at the time of acquiring the process data 222A to be analyzed.
  • the monitor values include, for example, position information and sensor values.
  • the position information is information about the position of each of multiple sensors installed inside the plant 1.
  • the sensor values are values detected by each of the multiple sensors and include information about the flow state of the circulating material.
  • the flow state of the circulating material includes, for example, the flow direction and the flow speed of the circulating material.
  • the position information is represented by two-dimensional coordinates when visualizing information about the flow state of the circulating material on the screen of the display device 120.
  • the sensor values are information about the flow direction and flow speed of the circulating material for each position inside the plant 1.
  • the flow direction of the circulating material is represented by the angle of the flow direction of the circulating material centered on the origin in the reference coordinate system.
  • the flow velocity of the circulating material indicates the flow velocity of the circulating material starting from the position inside plant 1 indicated by the position information.
  • the simulation data 223A has input data and output data associated with a data ID.
  • the input data is data input to the mathematical model 224, and includes a plurality of analysis conditions when analyzing the simulation data 223A.
  • the output data is data output from the mathematical model 224, and includes, for example, position information and a monitor point.
  • the position information includes information indicating the part of the plant 1.
  • the monitor point is information analyzed by the mathematical model 224 for each part of the plant 1, and includes information regarding the flow state of the circulating material.
  • the flow state of the circulating material includes, for example, the flow direction and the flow speed of the circulating material.
  • the position information is represented by two-dimensional coordinates when the information regarding the flow state of the circulating material is visualized on the screen of the display device 120.
  • the sensor value is information regarding the flow direction and flow speed of the circulating material for each position inside the plant 1, and the flow direction of the circulating material is represented by the angle of the flow direction of the circulating material centered on the origin in the reference coordinate system.
  • the flow velocity of the circulating material indicates the flow velocity of the circulating material starting from the position inside plant 1 indicated by the position information.
  • the model update unit 215B updates the mathematical model 224 based on the flow state of the circulating material inside the plant 1 estimated based on the internal image of the inside of the plant 1 acquired by the image acquisition unit 213 and information indicating the flow state of the circulating material included in the analysis result of the simulation data 223A stored in the storage unit 220.
  • the operator of the plant 1 evaluates the similarity between the flow direction of the circulating material estimated based on the internal image and the flow direction of the circulating material included in the analysis result of the simulation data 223A.
  • the operator of the plant 1 also evaluates the similarity between the flow velocity of the circulating material estimated based on the internal image and the flow velocity of the circulating material included in the analysis result of the simulation data 223A.
  • the operator of the plant 1 evaluates the degree of deviation between the flow state of the circulating material included in the analysis result of the simulation data 223A and the actual flow state of the circulating material, and updates the model parameters of the mathematical model 224 so as to reduce the degree of deviation.
  • a support device for supporting plant operation comprising: a storage unit that stores reference data in which analysis conditions including operational variables of the plant are associated with analysis results corresponding to the analysis conditions, the analysis results including information indicating a flow state of a circulating material inside the plant; an information acquisition unit that acquires operational data including an operational variable in an operational state of the plant and a sensor value detected by a sensor provided in the plant; an output unit that outputs reference information related to the reference data corresponding to the operational data based on the reference data and the operational data; Equipped with Support equipment.
  • a calculation unit is further provided to calculate a similarity between the reference data and the driving data, The output unit outputs the reference information based on the similarity calculated by the calculation unit.
  • the support device of claim 1. (Appendix 3) the output unit outputs the reference information that has the maximum similarity calculated by the calculation unit, from among the reference data stored in the storage unit. 3.
  • the support device of claim 2. (Appendix 4) the calculation unit calculates the similarity based on each similarity between the reference data and the manipulated variable and the sensor value included in the operation data; 4.
  • An assistance device according to any one of claims 1 to 4.
  • the output unit outputs internal flow information including a flow direction of the circulating material estimated based on the internal image in association with information indicating a part of the plant. 6.
  • the simulator unit further includes a model updating unit that updates the mathematical model based on a flow state of a circulating material inside the plant estimated based on an internal image relating to the inside of the plant and information indicating a flow state of the circulating material included in an analysis result of the reference data.
  • a model updating unit that updates the mathematical model based on a flow state of a circulating material inside the plant estimated based on an internal image relating to the inside of the plant and information indicating a flow state of the circulating material included in an analysis result of the reference data.
  • the support device of claim 7. (Appendix 9) a reception unit that receives a change in a parameter of a manipulated variable of the plant, The simulator unit outputs an analysis result corresponding to the changed parameters.
  • a method for supporting plant operation comprising: storing reference data in which analysis conditions including operation variables of a plant are associated with analysis results including information indicating a flow state of a circulating material inside the plant corresponding to the analysis conditions; acquiring operational data including an operational variable in an operational state of the plant and a sensor value detected by a sensor provided in the plant; outputting reference information related to the reference data corresponding to the operational data based on the reference data and the operational data; including, How to help.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Testing And Monitoring For Control Systems (AREA)
PCT/JP2023/034088 2022-10-13 2023-09-20 支援装置、支援方法及びプログラム Ceased WO2024080088A1 (ja)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2024551353A JPWO2024080088A1 (https=) 2022-10-13 2023-09-20

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2022-164875 2022-10-13
JP2022164875 2022-10-13

Publications (1)

Publication Number Publication Date
WO2024080088A1 true WO2024080088A1 (ja) 2024-04-18

Family

ID=90669104

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2023/034088 Ceased WO2024080088A1 (ja) 2022-10-13 2023-09-20 支援装置、支援方法及びプログラム

Country Status (3)

Country Link
JP (1) JPWO2024080088A1 (https=)
TW (1) TWI891071B (https=)
WO (1) WO2024080088A1 (https=)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009009301A (ja) * 2007-06-27 2009-01-15 Yokogawa Electric Corp プラント運転支援装置
JP2016053953A (ja) * 2014-08-21 2016-04-14 アルストム テクノロジー リミテッドＡＬＳＴＯＭ Ｔｅｃｈｎｏｌｏｇｙ Ｌｔｄ プラントの少なくとも１つの動作パラメータを制御するための装置及び方法
JP2018169818A (ja) * 2017-03-30 2018-11-01 国立大学法人名古屋大学 映像表示システムおよび製造装置
WO2019225457A1 (ja) * 2018-05-21 2019-11-28 三菱日立パワーシステムズ株式会社 モデル作成方法、プラントの運転支援方法及びモデル作成装置
WO2021131666A1 (ja) * 2019-12-27 2021-07-01 住友重機械工業株式会社 システム、装置及び方法
WO2021241702A1 (ja) * 2020-05-28 2021-12-02 住友重機械工業株式会社 表示装置、評価方法および評価システム

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7677966B2 (ja) * 2019-11-04 2025-05-15 ワットロー・エレクトリック・マニュファクチャリング・カンパニー ガス供給システムのための制御および監視システム
US20220282839A1 (en) * 2021-03-05 2022-09-08 Solar Turbines Incorporated Gas transmission compression optimization
TWI888705B (zh) * 2021-03-30 2025-07-01 日商住友重機械工業股份有限公司 顯示裝置、控制裝置、控制方法及程式

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009009301A (ja) * 2007-06-27 2009-01-15 Yokogawa Electric Corp プラント運転支援装置
JP2016053953A (ja) * 2014-08-21 2016-04-14 アルストム テクノロジー リミテッドＡＬＳＴＯＭ Ｔｅｃｈｎｏｌｏｇｙ Ｌｔｄ プラントの少なくとも１つの動作パラメータを制御するための装置及び方法
JP2018169818A (ja) * 2017-03-30 2018-11-01 国立大学法人名古屋大学 映像表示システムおよび製造装置
WO2019225457A1 (ja) * 2018-05-21 2019-11-28 三菱日立パワーシステムズ株式会社 モデル作成方法、プラントの運転支援方法及びモデル作成装置
WO2021131666A1 (ja) * 2019-12-27 2021-07-01 住友重機械工業株式会社 システム、装置及び方法
WO2021241702A1 (ja) * 2020-05-28 2021-12-02 住友重機械工業株式会社 表示装置、評価方法および評価システム

Also Published As

Publication number Publication date
JPWO2024080088A1 (https=) 2024-04-18
TWI891071B (zh) 2025-07-21
TW202420006A (zh) 2024-05-16

Similar Documents

Publication Publication Date Title
JP2011247577A (ja) 複合サイクル動作における安全なドラム水位を決定する方法およびシステム
US12572249B2 (en) Display device, evaluation method, and evaluation system
JP7557606B2 (ja) 装置及びシステム
US20240012376A1 (en) Display device, control device, control method, and non-transitory computer readable medium storing program
TWI777331B (zh) 顯示工廠的狀態之系統、顯示工廠的狀態之裝置及顯示工廠的狀態之方法
WO2024080088A1 (ja) 支援装置、支援方法及びプログラム
CN103196693A (zh) 一种锅炉蓄热系数的测量方法和测量装置
JP5535731B2 (ja) 流動層乾燥装置および流動層乾燥設備
JP7557639B2 (ja) 装置及びシステム
JP7625004B2 (ja) 表示装置、表示方法、制御装置及びコンピュータプログラム
JP7413012B2 (ja) システム及び方法
JP7719793B2 (ja) 表示装置、表示方法、制御装置、制御方法及びコンピュータプログラム
JP7518615B2 (ja) 装置及びシステム
WO2022239668A1 (ja) 表示装置、情報処理装置、情報処理方法及びプログラム
JP7743432B2 (ja) 表示装置、制御装置、制御方法及びコンピュータプログラム
JP7604512B2 (ja) 表示装置、表示方法、制御装置及びコンピュータプログラム
JP7661360B2 (ja) 表示装置、制御装置、制御方法及びコンピュータプログラム
JP2023130937A (ja) 指標値算出装置、指標値算出方法、および指標値算出プログラム
TW202236040A (zh) 顯示裝置、顯示方法、控制裝置及電腦程式

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 23877094

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 2024551353

Country of ref document: JP

NENP Non-entry into the national phase

Ref country code: DE

WWE Wipo information: entry into national phase

Ref document number: 11202502489R

Country of ref document: SG

WWP Wipo information: published in national office

Ref document number: 11202502489R

Country of ref document: SG

122 Ep: pct application non-entry in european phase

Ref document number: 23877094

Country of ref document: EP

Kind code of ref document: A1