JP6851501B2 - Operating condition evaluation device, operating condition evaluation method, and boiler control system - Google Patents

Description

The present invention relates to an operating condition evaluation device, an operating condition evaluation method, and a boiler control system.

In the operation of power plants, especially in the operation of large boilers, there are many input parameters as operating conditions, such as the opening of the damper that adjusts the flow rate of combustion air in each combustion burner, the burner nozzle angle, and the crusher of solid fuel such as coal. As the output of the result, the concentration of NOx and CO, the surface temperature of the heat transfer tube (metal temperature), the steam temperature, etc. are obtained. In boiler combustion adjustment, it is necessary to control the input parameters so that each process value is within an appropriate range, but there are many input parameters of several tens of items or more, and each process value is complicated due to changes in the input parameters. The manipulation of input parameters requires very complex procedures, as some process values improve or worsen as a result of these interrelationships. Therefore, it is difficult to realize automatic operation of a large boiler, and there is a fact that manual operation or semi-automatic operation by engineers is mainly carried out.

Therefore, there is a demand for simulating the combustion operation of the boiler using input parameters in advance for automatic operation and performing automatic operation of the boiler using the result. Patent Document 1 discloses a configuration in which the simulation model data of a plant is modified and the boiler is controlled based on the result.

Japanese Unexamined Patent Publication No. 2011-210215

There are various types of boiler operation according to the driving purpose, such as operation that emphasizes economic efficiency, operation that prioritizes environmental load, and operation that emphasizes boiler life. If the driving purpose is different, even if the driving condition is optimized for one driving purpose, it is not always the optimum driving condition for another driving purpose. Therefore, there is a desire to evaluate the driving conditions according to the driving purpose. Regarding this point, in Patent Document 1, even if the model is modified, it is not possible to set and evaluate specific operating conditions according to the driving purpose by using the model, and the above-mentioned request cannot be satisfied.

The present invention has been made to solve the problems described above, from among a wide variety of operating conditions of the boiler, specific optimal operating conditions can be evaluated operating condition evaluation device in the operating mode, operating condition evaluation method, and its operation An object of the present invention is to provide a boiler control system using conditions. Here, the operation mode refers to a specific operation purpose.

In order to achieve the above object, the configuration described in the claims is provided. If cited an example, the present invention provides a driving condition evaluation device for evaluating the operating conditions of the boiler, showing a operation mode input unit for accepting an input of the operation mode of the boiler, a virtual operation of the boiler applying the behavior model storing unit for storing a behavior model, the operating conditions consisting of a set of operating parameter set in其's multiple operations end the boiler comprises the operation model, calculating a virtual process value of said boiler The operation mode input by referring to the simulation unit, the weight coefficient storage unit that stores the weight coefficient determined corresponding to the operation mode for each of the virtual process values, and the weight coefficient storage unit. The boiler is provided with a score calculation unit that determines a weighting coefficient corresponding to the above and calculates an evaluation score of each operating condition using a value obtained by multiplying the virtual process value by the weighting coefficient. NOx reduction mode that prioritizes the reduction of NOx emitted, the unburned content reduction mode that prioritizes the reduction of the unburned content of the fuel of the boiler, the boiler efficiency improvement mode that prioritizes the efficiency of the boiler, and the metal temperature reduction of the boiler. It is characterized by including at least one of a priority metal temperature reduction mode and an auxiliary power reduction mode that prioritizes reduction of auxiliary power of the boiler.

According to the present invention, from among a wide variety of operating conditions of the boiler, specific optimal operating conditions can be evaluated operating condition evaluation device in the operating mode, operating condition evaluation method, and control of the boiler using the operating conditions The system can be provided. Issues, configurations and effects other than those described above will be clarified by the description of the following embodiments.

Block diagram showing the schematic configuration of the boiler control system Schematic block diagram representing a boiler Diagram showing the hardware configuration of the operating condition evaluation device Flow chart showing the control procedure (flow of operating condition evaluation method) in the boiler control system 1 Flow chart showing the flow of explanation about the process of selecting the optimum operating conditions for the selected operation mode Diagram showing an example of score conversion data Figure showing an example of NOx-score graph Diagram showing a screen display example of the virtual process value range setting screen Diagram showing a screen display example of the virtual process value range setting screen Diagram showing an example of recommended range data The figure which shows the screen display example when the final operation mode is converted by mixing a plurality of operation modes. A diagram showing an operating condition with a relatively high evaluation score and a screen display example of the score.

A preferred embodiment of the present invention will be described in detail below with reference to the accompanying drawings. The present invention is not limited to this embodiment, and when there are a plurality of embodiments, the present invention also includes a combination of the respective embodiments. In the following, a boiler installed in a thermal power plant as a power generation plant will be described as an example, but the power generation plant is not limited to the boiler, and other power generation plants may be controlled.

The schematic configuration of the control system 1 of the boiler 100 will be described with reference to FIG. FIG. 1 is a block diagram showing a schematic configuration of the control system 1 of the boiler 100.

As shown in FIG. 1, the control system 1 of the boiler 100 connects the operation control device 200 of the boiler 100 to the boiler 100, and further connects the operation condition evaluation device 300 for evaluating the operation conditions of the boiler 100 to the operation control device 200. It is composed of.

(Boiler 100)
The boiler 100 includes N operating ends 1, 2, ..., N. Further, the boiler 100 includes M sensors 1, 2, ..., M. Further description of the boiler 100 will be described later with reference to FIG.

(Operation control device 200)
The operation control device 200 includes an actual process value reading unit 210, an operation instruction value calculation unit 220, a control logic storage unit 230, and an operation instruction value setting unit 240.

The actual process value reading unit 210 reads the process values obtained by measuring various state quantities of the boiler 100 output from the sensors 1, 2, ..., M, and outputs the process values to the operating condition evaluation device 300.

These process values include signals that represent at least one of the concentrations of nitrogen oxides, carbon monoxide, and hydrogen sulfide in the gas emitted from the thermal power plant.

The operation instruction value calculation unit 220 acquires the actual input parameter 115 (corresponding to the operation parameter) indicating the operation condition from the operation condition evaluation device 300. The actual input parameter 115 includes a signal that determines at least one of the opening degree of the air damper, the air flow rate, the fuel flow rate, and the exhaust gas recirculation flow rate.

In the present embodiment, the input parameter applied to the actual operation of the boiler 100 is referred to as the actual input parameter 115, and the process value obtained in the actual operation is referred to as the actual process value 101. On the other hand, in the operating condition evaluation device 300, the input parameter applied to the virtual operation (simulation operation) of the boiler 100 is referred to as a virtual input parameter, and the process value obtained by the virtual operation is referred to as a virtual process value. The input parameter consists of a set of operating parameters set for each of the plurality of operating ends.

The control logic storage unit 230 stores a control circuit for calculating the control logic data 114 and control parameters. PI (proportional / integral) control known as a prior art can be used in the control circuit for calculating the control logic data 114.

The operation instruction value calculation unit 220 uses the control logic data 114 to operate the boiler 100 according to the actual input parameter 115 acquired from the operation condition evaluation device 300 for each operation end 1, 2, ..., N. The operation instruction value 116 to be set is calculated.

The calculated operation instruction value 116 is output to the operation instruction value setting unit 240. The operation instruction value 116 is configured to be output as, for example, a control signal for controlling the flow rate of the supplied air.

The operation instruction value setting unit 240 sets the control signal 117 indicating the operation instruction value 116 to each operation end 1, 2, ..., N.

(Operating condition evaluation device 300)
The operating condition evaluation device 300 mainly reproduces the operating states of the boiler 100, the first input I / F310, the first output I / F320, the second input I / F330, and the second output I / F340. Using the model 106, a virtual operation is performed by applying a plurality of operation conditions to the operation model 106 showing the virtual operation of the boiler 100, and the result is output as a virtual process value. The virtual operation execution unit 400 and the virtual operation Includes an operating condition selection unit 500 that selects one operating condition from a plurality of operating conditions applied to. The operating condition evaluation device 300 is connected to the maintenance tool 900 via the second input I / F 330 and the second output I / F 340.

The maintenance tool 900 is connected to each of the input device 910 composed of a keyboard and a mouse, the display device 920 composed of a CRT and an LCD, and the input device 910 and the display device 920, and can transmit and receive data to and from the operating condition evaluation device 300. Includes control device 930. The operator can access the information stored in various storage units provided in the virtual operation execution unit 400 by using the maintenance tool 900. The input device 910 is an operation member for setting a range in which the virtual process value can be taken by using the virtual process value setting screen described later, and a mouse, a keyboard, a touch panel, or the like may be used. When a tablet terminal is used as the maintenance tool 900, the input device 910, the display device 920, and the maintenance control device 930 may be integrally configured.

The maintenance tool input signal 911 generated by the input device 910 is input to the virtual operation execution unit 400 and the operation condition selection unit 500 via the second input I / F (see FIG. 3) 330.

For example, when one of the plurality of operation modes of the boiler 100 is selected in the evaluation of the operation conditions, the selected operation mode is output to the score calculation unit 418 and the operation condition selection unit 500.

Further, the setting screen generation unit 931 included in the maintenance control device 930 displays the setting screen of the virtual process value range and the like on the display device 920. For example, when the operator edits the virtual process value range using the input device 910 on the virtual process value range setting screen, the edited information is input to the weight coefficient storage unit 420 and the weight coefficient is updated. The weighting coefficient storage unit 420 may include a weighting coefficient corresponding to a new virtual process value calculated by the soft sensor value calculation unit 416 by combining virtual process values.

At that time, when there are a plurality of process values including the first virtual process value and the second virtual process value, and the second virtual process value shows a response in the direction opposite to the positive direction or the negative direction of the first virtual process value. Stores in the recommended range storage unit 932 a rule that defines a trade-off between the first virtual process value and the second virtual process value. Then, the second virtual process value (FIG. 7) is displayed on the virtual process value range setting screen (NOx setting screen in FIG. 7) for setting the first virtual process value (primary process value in FIG. 7, corresponding to “NOx”). 7 subs (conflict process value), target range (corresponding to "CO") (in the example of the CO-score graph in FIG. 7, the area to the left of the first inflection point of CO), adjacent to the target range and virtual A virtual process adjacent to the permissible range indicating the permissible range of process values (the region between the first inflection point and the second inflection point of CO in the example of the CO-score graph in FIG. 7) and the permissible range. At least one of the non-permissible ranges indicating the non-permissible values (the region to the right of the second inflection point of CO in the example of the CO-score graph of FIG. 7) is also displayed.

In this embodiment, an example in which the operation condition evaluation device 300 includes the virtual operation execution unit 400 and the operation condition selection unit 500 will be described, but the virtual operation execution unit 400 and the operation condition selection unit 500 are configured as independent devices. , The virtual operation execution device is connected to an operation condition selection device (not shown) having the same function as the operation condition selection unit 500, and the operation condition is output from the virtual operation execution device to the operation condition selection device. You may.

The virtual operation execution unit 400 includes an actual process value storage unit 402, an actual process value conversion unit 404, an operation model storage unit 406, a model correction unit 408, a simulation unit 410, an operation method learning unit 412, a learning information storage unit 414, and software. It includes a sensor value calculation unit 416, a score calculation unit 418, a weight coefficient storage unit 420, and an actual input parameter storage unit 422. The learning information storage unit 414 corresponds to a virtual input parameter storage unit and a virtual process value storage unit.

The operating condition evaluation device 300 acquires the actual process value 102 from the operation control device 200 via the first input I / F 310 and stores it in the actual process value storage unit 402. Further, when the operator inputs the actual process value from the input device 910 of the maintenance tool 900, the actual process value input by the operator may be saved in the actual process value storage unit 402 via the second input I / F 330. Further, the actual process value stored in the actual process value storage unit 402 may be displayed on the display device 920 of the maintenance tool 900 via the second output I / F 340.

Further, the actual input parameter 115 set for the boiler 100 to be controlled is output to the operation control device 200 from the operation condition selection unit 500 of the operation condition evaluation device 300 via the first output I / F 320.

Further, the actual input parameter 115 output by the operation condition selection unit 500 to the operation control device 200 is stored in the actual input parameter storage unit 422 provided in the operation condition evaluation device 300. Further, when the operator inputs the actual input parameter from the input device 910 of the maintenance tool 900, the actual input parameter input by the operator may be saved in the actual input parameter storage unit 422 via the second input I / F 330. Further, the actual input parameters stored in the actual input parameter storage unit 422 may be displayed on the display device 920 of the maintenance tool 900 via the second output I / F 340.

The actual process value conversion unit 404 provided in the operating condition evaluation device 300 converts the actual process value data 103 stored in the actual process value storage unit 402 into the model construction data 104. The model construction data 104 is stored in the operation model storage unit 406. When the operator inputs an operation model from the input device 910 of the maintenance tool 900, the operation model input by the operator is stored in the operation model storage unit 406 via the second input I / F 330. Further, the operation model stored in the operation model storage unit 406 is displayed on the display device 920 of the maintenance tool 900 via the second output I / F 340 so that the type and contents of the stored operation model can be confirmed. You may.

The model correction unit 408 updates the operation model by a statistical method represented by a neural network using the composite data 107 of the operation model and the model construction data 104 fetched from the operation model storage unit 406 as necessary, and after the update. The operation model 108 of the above is stored in the operation model storage unit 406.

Operation method The learning unit 412 generates a learning result 112 and stores it in the learning information storage unit 414. The learning result 112 includes a virtual input parameter 109 applied to the virtual operation and an output value (virtual process value) obtained by applying the virtual input parameter 109 and performing the virtual operation calculation.

The simulation unit 410 has a function of simulating the control characteristics of the boiler 100. That is, the actual input parameter 115 is given to the boiler 100, and a function equivalent to obtaining the actual process value 101 for the control result is simulated. For this simulation calculation, the simulation unit 410 uses the virtual input parameter 109 received from the operation method learning unit 412 and the operation model 106 stored in the operation model storage unit 406.

The simulation unit 410 inputs the virtual input parameter 109 into the operation model 106 and outputs the result of calculation as the virtual process value 110.

The virtual process value 110 obtained by the simulation unit 410 is a predicted value of the actual process value 101 of the boiler 100. The number of the virtual input parameter 109 and the virtual process value 110 is not limited to one type, and a plurality of types can be prepared for each type. Hereinafter, the process of applying the virtual input parameter 109 to the operation model 106 and performing the calculation is referred to as a test.

Operation method The learning unit 412 learns the setting method of the virtual input parameter 109 by using the learning information data 111 including the learning constraint condition and the input parameter setting condition used for learning stored in the learning information storage unit 414. The virtual process value included in the learning result 112 is stored in the learning information storage unit 414.

The operator selects an operation mode using the input device 910 and outputs the operation mode to the score calculation unit 418. Therefore, the input device 910 corresponds to an operation mode input unit that receives the input of the operation mode of the boiler 100.

The score calculation unit 418 reads the score conversion data (weight coefficient) preset for the type of virtual process value from the weight coefficient storage unit 420, applies it to the virtual process value, and obtains the score of the virtual process value of the test. calculate. The characteristics of each process value include, for example, those in which the scoring increases as the process value decreases, and those in which the scoring increases as the process value increases. Therefore, the score conversion data may have an upper limit value or a lower limit value set according to the characteristics of the virtual process value. In the present embodiment, the score conversion data stored in the weighting coefficient storage unit 420 is created corresponding to the operation mode of the boiler 100. That is, the value of the score conversion data to be multiplied by the same type of process value differs depending on the operation mode. This point is a feature of the operating condition evaluation device according to the present embodiment.

The score calculation unit 418 reads the score conversion data corresponding to the operation mode acquired from the input device 910 from the weight coefficient storage unit 420, applies it to the virtual process value of each test stored in the learning information storage unit 414, and performs each operation. Calculate the condition score. The score for each operating condition is displayed on the display device 920. At that time, it is preferable that the scores are displayed in descending order.

The operator determines which operating condition is applied to the boiler 100 based on the score for each operating condition displayed side by side on the display device 920, and performs a selection operation from the input device 910. Information indicating the selected operating conditions is output to the operating condition selection unit 500. Therefore, the input device 910 corresponds to the operation condition selection reception unit.

The operation condition selection unit 500 extracts the operation conditions selected from the learning information data 113 output from the learning information storage unit 414, and outputs the selected operation conditions to the operation control device 200 via the first output I / F 320.

As described above, when selecting the optimum (high score) operating condition from various operating conditions, the optimum operating condition can be selected according to the operating mode of the boiler 100. Then, by setting the selected operation condition to the boiler 100, optimum operation can be realized in the selected operation mode.

FIG. 2 is a schematic configuration diagram showing the boiler 100.

The boiler 100 of the present embodiment uses pulverized coal obtained by crushing coal as pulverized fuel (solid fuel) to burn solid fuel, and the pulverized coal is burned by the combustion burner of the furnace 11 and generated by this combustion. It is a coal-fired boiler that can generate steam by exchanging heat with water supply or steam. The fuel is not limited to coal, and may be other fuel that can be burned in a boiler, such as biomass. Further, various fuels may be mixed and used.

The boiler 100 has a fireplace 11, a combustion device 12, and a flue 13. The fireplace 11 is installed along the vertical direction in a hollow shape of, for example, a square cylinder. The wall surface of the furnace 11 is composed of an evaporation pipe (heat transfer pipe) and fins connecting the evaporation pipes, and suppresses the temperature rise of the furnace wall by exchanging heat with water supply or steam. Specifically, on the side wall surface of the fireplace 11, a plurality of evaporation pipes are arranged, for example, along the vertical direction and arranged side by side in the horizontal direction. The fins block between the evaporation pipes. The furnace 11 is provided with an inclined surface 62 on the bottom of the furnace, and the bottom evaporation pipe 70 is provided on the inclined surface 62 to form a bottom surface.

The combustion device 12 is provided on the vertically lower side of the furnace wall constituting the fireplace 11. In the present embodiment, the combustion device 12 has a plurality of combustion burners (for example, 21, 22, 23, 24, 25) mounted on the furnace wall. For example, a plurality of the combustion burners (burners) 21, 22, 23, 24, 25 are arranged at equal intervals along the circumferential direction of the fireplace 11. However, the shape of the fireplace, the arrangement of the burners, the number of combustion burners in one stage, and the number of stages are not limited to this embodiment.

The combustion burners 21, 22, 23, 24, 25 are connected to the crusher (pulverized coal machine / mill) 31, 32, 33, 34, 35 via the pulverized coal supply pipes 26, 27, 28, 29, 30. It is connected. When coal is transported by a transport system (not shown) and charged into the crushers 31, 32, 33, 34, 35, it is crushed to a predetermined fine powder size here together with the transport air (primary air). The pulverized coal (pulverized coal) can be supplied from the pulverized coal supply pipes 26, 27, 28, 29, 30 to the combustion burners 21, 22, 23, 24, 25.

Further, in the fireplace 11, a wind box 36 is provided at the mounting position of each combustion burner 21, 22, 23, 24, 25, and one end of the air duct 37b is connected to the wind box 36 and the other end. Is connected to the air duct 37a that supplies air at the connection point 37d.

Further, a flue 13 is connected vertically above the fireplace 11, and a plurality of heat exchangers (41, 42, 43, 44, 45, 46, 47) for generating steam in the flue 13 are connected. Is placed. Therefore, the combustion burners 21, 22, 23, 24, 25 inject a mixture of pulverized coal fuel and combustion air into the furnace 11 to form a flame, and combustion gas is generated and flows into the flue 13. .. Then, the combustion gas heats the water supply and steam flowing through the furnace wall and the heat exchangers (41 to 47) to generate superheated steam, and the generated superheated steam is supplied to rotate and drive a steam turbine (not shown) to steam. A generator (not shown) connected to the rotating shaft of the turbine can be rotationally driven to generate power. Further, the flue 13 is connected to the exhaust gas passage 48, and is between the denitration device 50 for purifying the combustion gas, the air sent from the blower 38 to the air duct 37a, and the exhaust gas sent through the exhaust gas passage 48. An air heater 49, a soot dust processing device 51, an attracting blower 52, and the like are provided to exchange heat with the air heater 49, and a chimney 53 is provided at the downstream end. The denitration device 50 may not be provided if the exhaust gas standard is satisfied.

The fireplace 11 of the present embodiment is newly used for combustion air (primary air) after excessive fuel combustion by the air for transporting pulverized coal (primary air) and the combustion air (secondary air) introduced into the fireplace 11 from the air box 36. It is a so-called two-stage combustion type fireplace in which after-air) is charged to perform lean fuel combustion. Therefore, the fireplace 11 is provided with an after-airport 39, one end of the air duct 37c is connected to the after-airport 39, and the other end is connected to the air duct 37a that supplies air at the connection point 37d. If the staged combustion method is not adopted, the after airport 39 may not be provided.

The air sent from the blower 38 to the air duct 37a is warmed by heat exchange with the combustion gas at the air heater 49, and is guided to the air box 36 via the air duct 37b at the connection point 37d, and the air duct. It branches to the after air which is guided to the after airport 39 via 37c.

FIG. 3 is a diagram showing a hardware configuration of the operating condition evaluation device 300. The operating condition evaluation device 300 includes a CPU (Central Processing Unit) 301, a RAM (Random Access Memory) 302, a ROM (Read Only Memory) 303, an HDD (Hard Disk Drive) 304, a first input I / F 310, and a first output I. It includes a / F320, a second input I / F330, and a second output I / F340, which are configured to be connected to each other via a bus 306. The hardware configuration of the operating condition evaluation device 300 is not limited to the above, and may be configured by a combination of a control circuit and a storage device.

FIG. 4 is a flowchart showing a control procedure (flow of operating condition evaluation method) in the control system 1 of the boiler 100 shown in FIG.

The flowchart shown in FIG. 4 is executed by combining steps 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000. Each step will be described below.

After the operation of the operating condition evaluation device 300 is started, first, in step 1000 of setting the model construction condition / learning condition, various parameter values such as the execution condition learning condition at the time of model construction are set.

Next, in step 1100 for constructing the plant characteristic model, the simulation unit 410 of the operating condition evaluation device 300 is operated, and the plant characteristic model is constructed using the operation model 106 stored in the operation model storage unit 406.

Next, in step 1200 of learning the operation method, the operation method learning unit 412 provides an operation method of the virtual input parameter 109 such that the virtual process value 110 output by the simulation unit 410 of the operation condition evaluation device 300 becomes a desirable value. Operate and learn. As the learning algorithm, a known method such as reinforcement learning theory can be used.

Next, in step 1300 of storing the learning result 112 in the learning information storage unit 414, the learning result 112 of the operation method is stored in the learning information storage unit 414.

Next, in step 1400, the operation conditions selected by the operation condition selection unit 500 are output to the operation control device 200, and the operation instruction value calculation unit 220 is selected as the control logic data 114 stored in the control logic storage unit 230. The operation instruction value 116 is calculated using the operation conditions, and the operation instruction value setting unit 240 generates the control signal 117 based on the calculation.

Next, in step 1500 of operating the plant, the operation instruction value setting unit 240 sets the control signals 117 to the operation ends 1, 2, ..., N of the boiler 100.

Next, in step 1600 in which the actual process value 101 is stored in the actual process value storage unit 402, the actual process value data 103 input and stored in the operating condition evaluation device 300 after the operation of the boiler 100 is stored in the actual process value conversion unit 404. It is converted into model construction data 104 (actual process value data) and stored in the operation model storage unit 406.

Next, in step 1700 for setting the model data modification conditions, various parameter values related to the execution conditions at the time of model modification are set.

Next, in step 1800 for modifying the model data, the model modification unit 408 is operated, the operation model is updated, and unnecessary data is deleted.

Next, step 1900 for determining the validity of the model data modification result is branching. If the determination criteria are satisfied with respect to the model data correction result, the process proceeds to step 2000, and if not satisfied, the process returns to step 1700. Here, two types of judgment means can be considered: automatic judgment based on internal parameters and manual judgment in which the plant operator confirms the model data correction result displayed on the display device 920 and judges the validity. You may use it.

And the last step 2000 for determining ON / OFF of the control is a branch. The input related to ON / OFF of the control is executed through the input device 910, and if it is ON, the process returns to step 1100, and if it is OFF, the process proceeds to a step of ending the control operation of the boiler 100 in the series of operating condition evaluation devices 300.

By the above operation, in the control of the boiler 100 by the operating condition evaluation device 300, the operation method of the virtual input parameter that obtains a desired virtual process value is autonomously performed based on the model adjustment condition and the learning condition set by the operator of the boiler 100. By operating the boiler 100 with a control signal generated based on the learning result 112, the boiler 100 can be set to a desirable operating state.

Here, in the present embodiment, the optimum operating conditions are selected when the boiler 100 is operated in the operation mode selected by the operator from the learning results of a plurality of times, and the control signal is generated using the operating conditions ( Step 1400) is performed. Hereinafter, a process of selecting the optimum operating conditions suitable for the selected operation mode will be described with reference to FIG. FIG. 5 is a flowchart showing a flow of explanation for a process of selecting the optimum operating conditions suitable for the selected operation mode.

Prior to the following processing, it is assumed that the learning results 112 under a plurality of operating conditions are stored in the learning information storage unit 414 in step 1300. In step 3000, the operator operates the input device 910 to input the operation mode to be executed by the boiler 100. The operation mode input operation may be performed by displaying a plurality of operation mode selection screens on the display device 920 and performing a drag or swipe operation on the screens.

In step 3100, an input signal indicating which operation mode is selected is input to the score calculation unit 418. The score calculation unit 418 reads out the score conversion data suitable for the operation mode selected from the weight coefficient storage unit 420. Then, the virtual process value of each operating condition stored in the learning information storage unit 414 is multiplied by the weighting coefficient shown in the score conversion data, and the result is output to the maintenance control device 930. The setting screen generation unit 931 of the maintenance control device 930 generates a setting screen of the virtual process value range using the acquired result, and displays it on the display device 920.

FIG. 6A is an example of score conversion data stored in the weighting coefficient storage unit 420. As the score conversion data, data in which the operation mode is associated with the identifier of the graph showing the reference score in each operation mode is stored. For example, in the NOx reduction mode, an identifier of a NOx-score graph (see Graphs 2 and 6B) in which the vertical axis of the graph is the score and the horizontal axis is the NOx concentration is associated. Score conversion data indicating the reference score is also stored for each of the other operation modes.

In step 3200, the reference score of the desired operation mode is edited on the setting screen of the virtual process value range displayed on the display device 920. If editing is not required, steps 3200 to 3400 are skipped.

In addition to the operation mode shown in FIG. 6A, a metal temperature imbalance reduction mode may be included. The metal temperature imbalance is the content related to the temperature distribution of the metal (piping, etc.) in the boiler, and refers to the temperature difference in a specific area. The metal temperature imbalance is calculated from the temperature difference between the metal temperatures (process values) at multiple locations. The calculation of this temperature difference is performed by the soft sensor value calculation unit 416.

The metal temperature (absolute value) in the metal temperature (absolute value) reduction mode shown in FIG. 6A can be used for evaluation items related to creep life of heat transfer tubes, pipes, and the like. On the other hand, the metal temperature imbalance can be used as an evaluation item for improving controllability and efficiency by making the components of exhaust gas (oxygen concentration, etc.) and temperature uniform, in addition to ensuring the reliability of the boiler. In this way, different items can be evaluated by using the metal temperature imbalance (soft sensor).

Figures 7 and 8 show screen display examples of the virtual process value range setting screen. FIG. 9 shows an example of recommended range data. FIGS. 7 and 8 are screens in which the "NOx reduction mode" is selected as the operation mode, and the allowable range of the NOx concentration is represented as the range between the first inflection point and the second inflection point. The characteristic point here is that when editing the allowable range of NOx concentration, which is the primary process value, CO concentration or coal, which is a sub (conflict) process value that shows a change in the opposite direction to the increase / decrease (positive or negative) of NOx concentration. The point is that the input field for the unburned portion of is automatically displayed. In the example of FIG. 7, an image of the score evaluation standard is displayed on the right side of the inflection point input screen, and the inflection point changeable range is entered in the image. The inflection point itself in the image may be dragged or swiped to move the inflection point or change the gradient.

In FIG. 8, the slide bar is used to input the inflection point. The recommended range is displayed for the inflection point of the sub (conflict) process value. The recommended range is calculated in the background by preparing the recommended range data shown in FIG. 9 in the recommended range storage unit 932 provided in the maintenance tool 900 in advance and the setting screen generation unit 931 from the relationship diagram shown in the recommended range data. Is displayed on the display device 920.

The calculation of the recommended range data is performed in the background, but when the mouse as the input device 910 is right-clicked in the sub (conflict) process value display field of FIGS. 7 and 8, a pop-up screen opens and the recommended range data of FIG. 9 is displayed. It may be configured to be.

In step 3300, the operator presses the score confirmation button on the virtual process value range setting screen. The weighting coefficient storage unit 420 stores the corrected score conversion data.

In step 3400, the score calculation unit 418 recalculates the score using the modified score conversion data. The result of the recalculation is displayed on the display device 920. At that time, a plurality of driving conditions having a relatively high evaluation score are displayed together with the score. For example, as shown in FIG. 11, when the "NOx reduction mode" is selected as the operation mode, the operation conditions having a relatively high evaluation score in the "NOx reduction mode" may be displayed together with the score. Further, the score, the virtual process value used for calculating the score, and the virtual input parameters applied to calculate the virtual process value may be listed. By displaying the elements related to the score calculation on one screen at the same time in this way, it becomes easy for the operator to grasp each correlation, and it becomes possible to efficiently select an appropriate operation condition and operation mode. .. In addition, the score and the virtual process value, and the virtual process value and the virtual input parameter may be displayed adjacent to each other. By displaying in this way, elements that are strongly related to each other are displayed adjacent to each other, and it is possible to grasp the correlation more accurately. Further, a function of switching the operation mode to be displayed by the operator using an input device 910 such as a mouse may be provided. As a result, the operator can selectively display the information related to the required operation mode on the display device 920.

In step 3500, one operating condition is selected on the screen on the display device 920. Information indicating which operating condition has been selected is output to the operating condition selection unit 500.

In step 3600, the operation condition selection unit 500 outputs the input parameters included in the selected operation conditions to the operation control device 200.

According to the present embodiment, when evaluating the result of performing virtual operation under a plurality of operating conditions, the evaluation criteria can be changed according to the operating mode to give a score, and the operating conditions can be evaluated.

Further, as the evaluation standard according to the operation mode, a standard score can be prepared in advance and further modified according to the operator's wishes. At that time, the operator can make corrections within an appropriate range by displaying the recommended range as a guideline for correction.

Furthermore, if there is a sub (conflict) process value in which the positive / negative of the process value changes in the opposite direction, the input field for the sub (conflict) process value is also displayed according to the input field for the virtual process value, and the value is virtualized. By displaying in conjunction with the value in the process value input field, the virtual process value range can be set while considering the effect on the sub (conflict) process value.

The above-described embodiment does not limit the present invention, and modifications within the scope not departing from the gist of the present invention are included in the present invention.

For example, although an example of constructing an operation model from actual process values has been described above, the model modification unit 408 does not modify the operation model stored in the operation model storage unit 406, that is, the simulation unit 410 does not modify the operation model storage unit 406. The operation model stored in may be read out and used as it is.

For example, in the above, one operation mode was selected and the weighting coefficient of the score conversion data was changed accordingly, but a plurality of operation modes with different driving purposes were selected, and the weighting of each operation mode changed from the reference score. You may set the fusion ratio of each selected operation mode without causing it. FIG. 10 shows an example of GUI corresponding to this example.

At this time, after selecting one operation mode, it may not be possible to select an operation mode including a sub (conflict) process value in which the positive / negative changes in the opposite direction from the process value related to the selected operation mode. Attempts to optimize each of the conflicting process values may result in no improvement in the score for any of the process values.

In FIG. 10, a list of selectable operation modes is displayed, and a plurality of operation modes are selected from the list. Then, the area ratio of the pie chart specifies the contribution rate at which each operation mode contributes to the final operation mode. In FIG. 10, the unburned content reduction mode is set with a contribution rate of 30% and the auxiliary power reduction mode is set with a contribution rate of 70%, and these are mixed to convert the score of the final operation mode.

1: Boiler control system 100: Boiler (power plant)
101, 102: Actual process value 103: Actual process value data 104: Model construction data 106, 108: Operation model 107: Composite data 109: Virtual input parameter 110: Virtual process value 111, 113: Learning information data 112: Learning result 114 : Control logic data 115: Actual input parameter 116: Operation instruction value 117: Control signal 200: Operation control device 210: Actual process value reading unit 220: Operation instruction value calculation unit 230: Control logic storage unit 240: Operation instruction value setting unit 300: Operating condition evaluation device 306: Bus 310: First input I / F
320: First output I / F
330: Second input I / F
340: Second output I / F
400: Virtual operation execution unit 402: Actual process value storage unit 404: Actual process value conversion unit 406: Operation model storage unit 408: Model correction unit 410: Simulation unit 412: Operation method learning unit 414: Learning information storage unit 416: Soft Sensor value calculation unit 418: Score calculation unit 420: Weight coefficient storage unit 422: Actual input parameter storage unit 500: Operation condition selection unit 900: Maintenance tool 910: Input device (operation mode input unit, operation member)
911: Maintenance tool input signal 920: Display device (operation mode input unit, virtual process value setting screen, display unit)
930: Maintenance control device 931: Setting screen generation unit 932: Recommended range storage unit

Claims (8)

It is an operating condition evaluation device that evaluates the operating conditions of the boiler.
An operation mode input unit that accepts the input of the operation mode of the boiler, and
An operation model storage unit that stores an operation model indicating the virtual operation of the boiler, and an operation model storage unit.
A simulation unit for applying the operating conditions consisting of a set of operating parameter set in其's multiple operations end the boiler comprises the operation model, calculates a virtual process value of the boiler,
A weighting coefficient storage unit that stores weighting coefficients determined according to the operation mode for each of the virtual process values, and a weighting coefficient storage unit.
The weighting coefficient corresponding to the input operation mode is determined with reference to the weighting coefficient storage unit, and the evaluation score of each operating condition is calculated using the value obtained by multiplying the virtual process value by the weighting coefficient. Score calculation unit and
With
The operation mode includes a NOx reduction mode that prioritizes reduction of NOx emitted by the boiler, an unburned content reduction mode that prioritizes reduction of unburned content of fuel of the boiler, and a boiler efficiency improvement mode that prioritizes efficiency of the boiler. Includes at least one of a metal temperature reduction mode that prioritizes reduction of the metal temperature of the boiler and an auxiliary power reduction mode that prioritizes reduction of auxiliary power of the boiler.
OPERATION condition evaluation apparatus. The operating condition evaluation device according to claim 1.
A soft sensor value calculation unit that calculates a soft sensor value using a plurality of virtual process values calculated by the simulation unit is further provided.
The weighting coefficient storage unit further stores the weighting coefficient determined according to the operation mode with respect to the soft sensor value.
The score calculation unit multiplies the soft sensor value by the weighting coefficient corresponding to the soft sensor value, and further uses the multiplied value to calculate an evaluation score for each operating condition.
OPERATION condition evaluation apparatus. The operating condition evaluation device according to claim 1.
The operation mode input unit is
The target range of the virtual process value having a large influence on the evaluation score in the input operation mode, the allowable range adjacent to the target range and indicating the allowable value of the virtual process value, and the allowable range adjacent to the allowable range, said. A virtual process value setting screen showing at least one of the non-allowable ranges indicating the non-allowable value of the virtual process value, and a virtual process value setting screen
In the virtual process value setting screen, the operation member that performs an input operation for moving at least one of the target range, the allowable range, and the non-allowable range is included.
OPERATION condition evaluation apparatus. The operating condition evaluation device according to claim 3.
When an input operation for moving at least one of the target range, the allowable range, and the non-allowable range of the first virtual process value displayed on the virtual process value setting screen in the positive direction or the negative direction is performed, When there is a second virtual process value that indicates a response in the direction opposite to the positive direction or the negative direction of the first virtual process value in conjunction with the input operation, the target range and the allowable range of the second virtual process value. and Ru is further displayed on the non-allowable range of at least any one of ranges the virtual process value setting screen
OPERATION condition evaluation apparatus. The operating condition evaluation device according to claim 1.
The operation mode input unit receives an input operation of a plurality of operation modes having different operation purposes, and an input operation of a fusion ratio of each operation mode with respect to a final operation mode generated by fusing the plurality of operation modes.
The score calculation unit, calculate the evaluation score for each operating condition of said final operation mode by using the result of multiplying the fusion ratio of the operating mode to a value obtained by said multiplication
OPERATION condition evaluation apparatus. The operating condition evaluation device according to claim 1.
The operation mode input unit has an operation mode setting screen capable of selecting one or more operation modes from predetermined operation modes.
In selected operating mode, Ru further comprising a display unit for displaying the evaluation score for each operating condition calculated by the score calculating unit
OPERATION condition evaluation apparatus. It is an operating condition evaluation method that evaluates the operating conditions of the boiler.
The step of accepting the input of the operation mode of the boiler and
A step of applying the operational conditions consisting of a set of operating parameter set in其's multiple operations end the boiler comprises the operation model, calculates a virtual process value of the boiler,
A step of determining the weighting coefficient corresponding to the input operation mode and calculating the evaluation score of each operation condition using the value obtained by multiplying the virtual process value by the weighting coefficient.
Only including,
The operation mode includes a NOx reduction mode that prioritizes reduction of NOx emitted by the boiler, an unburned content reduction mode that prioritizes reduction of unburned content of fuel of the boiler, and a boiler efficiency improvement mode that prioritizes efficiency of the boiler. Includes at least one of a metal temperature reduction mode that prioritizes reduction of the metal temperature of the boiler and an auxiliary power reduction mode that prioritizes reduction of auxiliary power of the boiler.
OPERATION condition evaluation method. The operating condition evaluation device according to any one of claims 1 to 6.
An operating condition selection device that selects one of the operating conditions with a relatively high evaluation score calculated by the operating condition evaluation device, and an operating condition selection device.
A control device for controlling the operation end based on the operation conditions selected by the operation condition selection device is provided.
Boiler control system.

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