TW202032302A - Plant operation assistance device - Google Patents

Abstract

Provided is a plant operation assistance device characterized by comprising: an operating condition acquisition unit which is configured to acquire a plurality of operating conditions which each include a plurality of operating parameters for operating the plant; a cost index value acquisition unit which is configured to acquire each cost index value for when the plant is operated in accordance with each of the plurality of operating conditions; a score acquisition unit which is configured to compute each score which is evaluation values of the operating conditions based on at least one predicted process value for when the plant is operated in accordance with each of the plurality of operating conditions; and an output information generation unit which is configured to generate output information including combinations of the scores and the cost index values which are obtained for each of the plurality of operating conditions.

Description

Plant operation support device

This description is about the operation support of the plant, especially the operation support caused by the evaluation of the operating conditions of the plant.

For example, in thermal power plants, etc., in order to optimize the operation, various process values such as the concentration of NOx and CO, and the metal temperature of heat transfer tubes such as superheaters are measured to perform various equipment constituting the plant. (Equipment) operating parameters (control variables) are adjusted so that various process values meet target values. For example, in a factory building with a boiler, the NOx concentration of exhaust gas varies depending on the nozzle angle of the burner. Therefore, when the NOx concentration in the exhaust gas is further reduced by lowering the burner nozzle angle, the amount of ammonia used in the denitrification device for denitration in the exhaust gas can also be relatively reduced. The optimization of operating cost can be achieved.

Regarding the optimization of the operation of such a plant, for example, Patent Document 1 discloses that the operating characteristic values of the state quantities such as the discharge flow rate, temperature, and pressure of the plant are used to evaluate the operating cost and determine the cost evaluation value The best control signal (operating condition) of the plant. In addition, Patent Document 2 discloses a method of evaluating each operating condition with a score and selecting the optimal operating condition. Patent Document 3 discloses a simulation method of the flow value of power generation equipment. [Prior Technical Literature] [Patent Literature]

Patent Document 1 JP 2012-53505 A Patent Document 2 JP 2018-128999 A Patent Document 3 JP 2018-128995 A

[The problem to be solved by the invention]

However, when the operating conditions of the plant are changed by changing the operating parameters, the operating cost is reduced, but on the other hand, it may also cause disadvantages such as reduced boiler operability. For example, because in the above example, the operating cost is reduced by lowering the burner nozzle angle, and the metal temperature of the heat transfer tube is lowered, so it is incurred to adjust the steam temperature of the steam generated by the boiler to a fixed value. The case where the adjustment range of the steam temperature is reduced due to the spray injection of the cooling device. In short, in a boiler, in order to fix the steam temperature of the main steam, for example, the steam is cooled by a desuperheater between the primary superheater and the secondary superheater, but the temperature is lowered when the load of the boiler changes (load decreases). When the cooling caused by the equipment is reduced to an unnecessary level, the steam temperature becomes lower than the target value, etc., which may cause the plant to fail to operate properly.

Therefore, in order to optimize the operation of the plant, the inventors considered not only the cost but also various flow values, and thought of the necessity of comprehensively evaluating the operating conditions of the plant. Generally, there are multiple operating conditions that can satisfy the required output of the plant (boiler). However, if the inventors can compare the evaluation results obtained by evaluating multiple operating conditions with each other, they should be able to compare the multiple operating conditions. While comparing, choose more appropriate operating conditions.

In view of the above-mentioned circumstances, at least one embodiment of the present invention aims to provide an operation support device for a plant that can appropriately select operating conditions based on the evaluation results of each of a plurality of operating conditions. [Technical means to solve the problem]

(1) The plant operation support device according to at least one embodiment of the present invention includes: The operating condition obtaining unit is configured to obtain a plurality of operating conditions, which respectively include a plurality of operating parameters for operating the plant; The cost index value acquisition unit is configured to separately acquire the cost index value in the case where the aforementioned plant is operated under each of the aforementioned plural operating conditions; The score obtaining unit is configured to respectively obtain the evaluation value of the operating condition, that is, the score based on the predicted value of at least one flow value in the case where the plant is operated by each of the plurality of operating conditions; and The output information generating unit is configured to generate output information including a combination of the score obtained for each of the plurality of operating conditions and the cost index value.

According to the configuration of (1) above, the plant operation support device is aimed at, for example, a plurality of operating conditions such as the plant can be operated to obtain the desired output (rated output, etc.), and the operating conditions of the plant can be obtained by separately calculating the operating conditions. The score and the cost index value in the case generate information (output information) of multiple combinations of the score and the cost index value. In this way, in addition to the evaluation of multiple operating parameters due to scores, various evaluations of multiple operating conditions can be performed from the viewpoint of scores and cost index values. Therefore, it is possible to select a more appropriate operating condition from a plurality of operating conditions based on the evaluation from the viewpoints of both the score and the cost index value in the case of operating the plant.

For example, if the output information is output to a display device such as a display, an operator or the like can visually compare a plurality of operating conditions in terms of scores and cost index values. In addition, for example, if the operating condition of one selected from the output information is transmitted to the control device (DCS) of the plant, etc., the plant operation can be optimized from the viewpoint of score and cost index value. Therefore, based on the point of view of the score and the cost index value, it is possible to support the finding of appropriate operating conditions from a plurality of operating conditions.

(2) In some embodiments, in the configuration of (1) above, It is further equipped with: a first output unit for outputting, based on the output information generated by the output information generating unit, the score obtained by the plurality of combinations corresponding to the plurality of operating conditions and the correlation graph of the cost index value to Display device.

According to the configuration of (2) above, the first output unit outputs a graph of the score and the cost index value to the display device based on a plurality of combinations of scores and cost index values corresponding to a plurality of operating conditions. This allows the operator or the like to visually compare a plurality of operating conditions from the viewpoint of scores and cost index values, and can support the selection of appropriate operating conditions.

(3) In some embodiments, in the configuration of (2) above, The aforementioned graph is a graph in which a frame is added to the outer periphery of the set of plot points constituting the aforementioned plural combination of scatter graphs.

For example, multiple combinations of scores and cost index values corresponding to each operating condition are plotted on a screen display (scatter graph) on a graph with scores (x-axis) and cost index values (y-axis) drawn on two axes. For each operating condition selected as an example, shades such as overlap of plot points based on the density of plot points are generated. At this time, either of the cost index value or the score becomes the largest plot point, which may be difficult to distinguish due to the deviation of the shade on the screen display.

According to the above-mentioned configuration (3), the graph related to the score and the cost index value is not a scatter diagram, but is a diagram in which the outer periphery of the set of plot points constituting the scatter diagram of plural combinations is framed. Thereby, it is possible to facilitate the determination of the coordinates in the range where at least one of the cost index value or the score in the scatter diagram becomes the largest or the largest. Therefore, it is possible to easily grasp the combination of the score and the cost index value in which either the cost index value or the score becomes the largest or the largest range. Here, the maximum range refers to a value considered to be approximately the same as the maximum value of the cost index value or the score, and is set to be from 100% to 80% of the maximum value, more preferably from 100% to 90% of the maximum value Range up to. This allows for slight differences in cost index values or scores.

(4) In some embodiments, in the configuration of (2) to (3) above, It is further provided with a second output unit for outputting the operating conditions corresponding to the combination of the score and the cost index value input through the selection operation of the display device among the plurality of operating conditions.

According to the configuration of (4) above, the second output unit outputs, for example, operating conditions (associated) corresponding to combinations of arbitrary scores and cost index values selected by the operator's selection operation on the screen. For example, the outside of the plant's control device (DCS). Thereby, the selected operating condition can be transmitted to the output destination of the second output unit.

(5) In some embodiments, in the above-mentioned constitutions (2) to (4), It is further equipped with: the selection part is to select at least one combination that satisfies the selection condition from the plurality of the aforementioned combinations contained in the aforementioned output information, The output information further includes information for displaying the combination of the at least one selected by the selecting part on the display device.

According to the above-mentioned structure (5), the output information includes information for displaying the combination that satisfies a predetermined selection condition on a graph, for example, to be displayed on the display device 16 together with the graph. Thereby, it can be displayed that the combination of the cost index value and the score selected by the selection part can be compared with other combinations.

(6) In some embodiments, in the configuration of (1) to (5) above, It is further equipped with: a selection part that selects at least one combination that satisfies the selection condition from among the plurality of the aforementioned combinations contained in the aforementioned output information; and The third output unit outputs the aforementioned operating conditions corresponding to the aforementioned combination of the aforementioned at least one combination selected by the aforementioned selection unit and one of the aforementioned operating modes of the plant.

According to the configuration of (6) above, the third output unit outputs the operating conditions corresponding to the combination of the score and the cost index value satisfying the selected condition indicated by the operating mode, for example, to the outside of the plant control device. In this way, the operation of the plant can be carried out by operating conditions based on the operating mode.

(7) In some embodiments, in the above-mentioned constitutions (5) to (6), The aforementioned selected part, Including: the first selection part is the combination of the score obtained from each of the plurality of operating conditions and the cost index value, among the combinations in which the score is greater than the lower limit, and the cost index value is selected as The foregoing combination of the best or optimal range.

According to the configuration of (7) above, from a plurality of combinations of scores and cost index values, a combination that satisfies the minimum requirements for the score and the cost index value becomes the best or the best range is selected. With this, it is possible to meet the requirements such as the degree of achievement of the emission standard and the operability of the plant evaluated based on the predetermined process value by becoming the lower limit value of the score S or more, and the cost index value can be maximized. The best or best range makes economic efficiency the highest operating condition, and you can choose from a plurality of operating conditions.

Here, the best value of the cost index means that in the case of cost reduction, the larger the value, the lower the cost, so it is the maximum value or the range of the maximum value. When the cost index value is the operating cost itself, the value is higher. The larger the cost, the higher the cost, and it becomes the minimum or minimum range. Therefore, the optimal range is a value that is considered to be approximately the same as the optimal value of the cost index. In the case of cost reduction, it is set from 100% to 80% of the maximum value, and more preferably from the maximum value. Range from 100% to 90%. This allows for slight differences in cost index values. In addition, the range of the minimum value refers to a value considered to be approximately the same as the optimal value of the cost index value. In the case of operating costs, it is set from 100% to 120% of the minimum value, and more preferably from the minimum The range from 100% to 110%. This allows for slight differences in cost index values.

(8) In some embodiments, in the configuration of (5) to (7) above, The aforementioned selected part, Contains: the second selection part is the combination of the scores and the cost index values obtained from each of the plurality of operating conditions, and the combination of the scores having the largest or largest range regardless of the cost index value is selected .

According to the configuration of (8) above, it is not necessary to select a combination of scores and cost index values based on the evaluation of the cost index value as the selection condition, and select the combination in which the score becomes the largest or the largest range. In this way, it is possible to select from a plurality of operating conditions, for example, the degree of achievement of emission standards, which are evaluated by scores, and the operability of the plant, which is evaluated based on a predetermined flow value, as the highest priority operating conditions.

(9) In some embodiments, in the above-mentioned constitutions (5) to (8), The aforementioned selected part, Contains: the third selected part is the combination of the score obtained from each of the plurality of operating conditions and the combination of the cost index value, in which the score becomes the first value or more than the lower limit value , Select the aforementioned combination in which the aforementioned cost index value becomes the best or largest range, that is, the balanced combination.

According to the above-mentioned structure (9), it includes a combination of cost index values and scores that satisfy a predetermined selection condition and is superimposed, for example, on a graph. The evaluation result of a combination of multiple operating conditions will be a combination that satisfies the selection condition. Information displayed on the display device in the form of establishing association with a graph. In this way, it can be displayed that the combination of the score and the cost index value selected by the selection part can be easily compared with other combinations, and the optimal operating conditions can be automatically extracted.

(10) In some embodiments, in the configuration of (9) above, The aforementioned score is the total of individual scores that evaluate the predicted values of each of the plurality of process values. The aforementioned selected part, It further includes: the fourth selection part is to select the value of the score in the score range based on the value of the score of the balance combination, and has a cost range based on the value of the cost index of the balance combination Among the other one or more combinations of the value of the cost index value within, there is the combination in which the individual score for the specific flow value becomes the largest or the largest range.

When the score is calculated by adding up the evaluation values (individual scores) of the predicted values of a plurality of flow values, the combination of the values of the scores having the same plural individual scores is plural. According to the above-mentioned structure (10), based on the combination of the score and the cost index value as a balance (combined), the individual score of the predicted value of the desired flow value among the plurality of flow values used for the calculation of the score is selected Higher operating conditions. With this, it is possible to select operating conditions that are expected to be higher in the evaluation of the predicted value of the specific flow value in the vicinity of the balance combination, and to select operating conditions that prioritize the specific flow value.

(11) The plant operation support method according to at least one embodiment of the present invention includes: The operating condition obtaining step is constituted to obtain a plurality of operating conditions, and the plurality of operating conditions respectively include a plurality of operating parameters for operating the plant; The cost index value obtaining step is configured to obtain the cost index value in the case where the aforementioned plant is operated by each of the aforementioned plural operating conditions; The score calculation step is configured to respectively calculate the evaluation value of the aforementioned operating condition, that is, the score, based on the predicted value of at least one process value in the case where the aforementioned plant is operated by each of the aforementioned plural operating conditions; and The output information generating step is configured to generate output information including a combination of the score obtained for each of the plurality of operating conditions and the cost index value.

According to the above-mentioned configuration (11), the same effect as the above-mentioned (1) can be exerted. [Invention Effect]

According to at least one embodiment of the present invention, there is provided an operation support device for a plant that can appropriately select an operation condition based on the evaluation result of each of a plurality of operation conditions.

Hereinafter, some embodiments of the present invention will be described with reference to the attached drawings. However, the dimensions, materials, shapes, relative arrangements, and the like of the components described in the embodiments or shown in the drawings are not intended to limit the scope of the present invention to these, but are merely illustrative examples. For example, "in a certain direction", "along a certain direction", "parallel", "orthogonal", "center", "concentric" or "coaxial", etc., which indicate relative or absolute configuration, strictly speaking Not only does it mean such a configuration, but it also means a state of relative displacement with a tolerance or angle and distance to the extent that the same function can be obtained. For example, "identity", "equal", "homogeneous" and other things are expressions of an equal state. Strictly speaking, it means not only an equal state, but also a state of tolerance or a difference in the degree to which the same function can be obtained. For example, the expression of shapes such as quadrangular and cylindrical shapes not only refers to shapes such as quadrangular shapes and cylindrical shapes in the strict sense of geometry, but also indicates that the same effects can be obtained, including uneven portions and Shapes such as chamfers. On the other hand, the expression of one of the constituent elements of "presence," "have," "have," "include," or "have" is not an exclusive expression that excludes the existence of other constituent elements.

Fig. 1 is a diagram schematically showing the structure of a boiler 71 included in a factory building 7 according to an embodiment of the present invention. The operation support device 1 of the plant (hereinafter referred to as the operation support device 1) is a device for supporting the operation of the plant 7. This operation support device 1 is the object of operation support, and is a plant 7 equipped with multiple machines (equipment, the same below) that can be controlled by the operating parameter P, such as power plants such as thermal power plants, chemical plants, and waste incineration plants. . For example, a thermal power plant is equipped with a boiler 71 as shown in Figure 1. The superheated steam (main steam) generated in the boiler 71 is supplied to a steam turbine (not shown) to drive the rotating shaft and connect it to the steam turbine The generator (not shown) of the rotating shaft rotates to generate electricity.

The boiler 71 shown in Fig. 1 is configured such that, for example, pulverized coal fuel pulverized from coal is burned in the combustion furnace 71f, and the heat generated is exchanged with feed water and steam, and the generated heat is supplied to a steam turbine. The superheated steam (main steam) of the pulverized coal boiler. Hereinafter, when a pulverized coal boiler is described as an example of the boiler 71 shown in FIG. 1, as shown in FIG. 1, the boiler 71 (boiler body) has a combustion furnace 71f, a combustion device 72, and a flue 73.

The combustion furnace 71f has a combustion chamber inside, for example, has a hollow shape of a quadrangular tube and is installed in a vertical direction (refer to Fig. 1). The inner wall surface of the wall of the combustion furnace 71f (combustion furnace wall) forming the combustion chamber is constituted by a fin connecting a steam pipe (heat transfer pipe) not shown in the figure and the steam pipe, and the water is supplied to the steam pipe And steam and heat exchange to suppress the temperature rise of the combustion furnace wall. In more detail, for example, the steam pipes arranged in the vertical direction are arranged in a horizontal direction and arranged in plural, and are arranged so that the fins block the adjacent steam pipes and the steam pipes among the plural steam pipes. In addition, the combustion furnace 71f is provided with an inclined surface on the furnace bottom, and a furnace bottom steam pipe is installed on the inclined surface to form a bottom surface.

The combustion device 72 is a device for supplying fuel to the inside of the above-mentioned combustion furnace 71f for combustion, and includes one or more burners 74 provided on the wall of the combustion furnace, and a wind box 77e. In addition, the combustion device 72 is configured to supply fuel to the inside of the combustion furnace 71f through the burner 74, and supply combustion air (secondary air) through the wind box 77e to burn the fuel. As shown in Fig. 1, the combustion device 72 may further include an AA port 77p provided on the wall of the combustion furnace for supplying make-up air (AA). In this case, it is set to use air for conveyance (primary air) described later for supplying fuel to the combustor 74, and combustion air (secondary air) supplied to the combustion furnace 71f via a wind box 77e. The air supply amount is lower than the theoretical air amount relative to the pulverized coal fuel supply amount, so the interior is maintained as a reducing atmosphere. After the pulverized coal fuel is reduced and combusted, the combustion air (AA) is supplied again to complete the pulverized coal fuel supply. Oxidative combustion can reduce the amount of NOx produced on the burner 74 side (two-stage combustion method).

In the embodiment shown in FIG. 1, the combustion device 72 includes a plurality of combustors 74. In addition, on the wall of the combustion furnace, one or more (plural in Figure 1) burners 74 are installed at equal intervals along the circumferential direction of the combustion furnace 71f, and one or more burners are installed in such a circumferential direction. 74 is provided in one or more stages in the vertical direction (five stages 74a to 74e in Fig. 1). These plural burners 74 are respectively connected to any one of plural pulverizers 76 (76a to 76e in Fig. 1; pulverizer/mill) via a pulverized coal supply pipe 75, and the powder produced in each pulverizer 76 The coal is supplied to the combustor 74 through the pulverized coal supply pipe 75 by conveying air (primary air). In addition, the above-mentioned pulverizer 76 pulverizes the coal supplied by a raw coal conveying system (not shown) into a predetermined fine powder size, and generates pulverized coal.

In addition, the aforementioned wind box 77e is installed at the installation position of each burner 74 of the combustion furnace 71f, and is connected to one end of an air duct 77a that guides air (combustion air). The other end of the air duct 77a is connected to the blower 78, and the air pushed in by the blower 78 is supplied to the wind box 77e through the air duct 77a. In addition, the branch duct 77c is branched from the branch part 77b provided in the air duct 77a and connected to the above-mentioned AA port 77p, so that AA that can adjust the opening of the damper 77d according to the AA provided in the branch duct 77c is supplied to the AA port 77p (the inside of the combustion furnace 71f). In short, the air supplied from the blower 78 to the air duct 77a is heated by the air heater 82 (described later), and then divided into the secondary air guided to the wind box 77e at the branch portion 77b and the branch duct 77c. It is directed to AA of AA port 77p.

On the other hand, the flue 73 is a duct that guides the combustion gas generated by the combustion of the fuel in the combustion furnace 71f, and is connected to the vertical upper portion of the combustion furnace 71f as shown in FIG. The flue 73 is provided with a plurality of heat exchangers 79 (79a to 79g in Fig. 1) for generating steam and superheating, and for removing deposits attached to the heat transfer surface of the heat exchanger 79 ( Ash removal device (not shown), etc., such as soot blower, etc. The combustion gas flowing into the flue 73 from the combustion furnace 71f heats the feed water and steam flowing in the combustion furnace wall and the heat exchanger 79, thereby generating superheated steam such as main steam.

In more detail, for example, in the case of a circulating boiler, a vapor-liquid mixture of water (saturated water) and steam (saturated steam) produced by boiling water inside the steam pipe flows into the steam drum (not shown) Show), the gas-liquid mixed fluid is separated into vapor (gas phase) and water (liquid phase). After that, the superheated steam (main steam) separated in the steam drum is sent to a steam turbine or the like through a steam pipe 7p (superheated steam pipe) formed as a flow path of superheated steam, and then received by a superheater installed in the steam pipe 7p Heating by (heat exchangers 79a, 79b, 79e) and cooling required by the desuperheater 7c, the temperature of the superheated steam (main steam) is adjusted so that the target temperature becomes fixed. Specifically, the desuperheater 7c may be provided in the steam pipe 7p between the primary superheater 79e and the secondary superheater 79a, for example. In the embodiment shown in FIG. 1, the temperature of the superheated steam after passing through the superheater 79a for the second time and the superheated steam after passing through the superheater 79b for the third time is merged at the target temperature (stationary steam temperature) To be fixed, cooling water and relatively low temperature steam are mixed (sprayed) with the superheated steam flowing in the steam pipe 7p through the desuperheater 7c as necessary, thereby cooling the superheated steam flowing in the steam pipe 7p.

In addition, since the exhaust gas treatment device is connected to the downstream side of the flue 73, the combustion gas (exhaust gas) that has passed through the heat exchanger 79 is harmless by the exhaust gas treatment device and released into the atmosphere. In more detail, the exhaust treatment device is composed of an exhaust duct 8 connected to the flue 73 and a plurality of devices installed in the exhaust duct 8. In the embodiment shown in Fig. 1, in the exhaust duct 8, from the upstream side of the exhaust gas to the downstream side, a denitration device 81 is provided in sequence, and the air supplied from the blower 78 to the air duct 77a and the flow The air heater 82, the coal dust processing device 83, the exhaust fan 84, etc., which exchange heat between the exhaust gas of the exhaust duct 8, are provided with a chimney 85 at the downstream end. In addition, in the denitration device 81, by supplying ammonia or the like to the catalyst, the NOx contained in the exhaust gas passing through the catalyst is purified.

In this way, if the building 7 is, for example, a thermal power plant, each includes a boiler 71 constituted by a plurality of devices, an exhaust gas treatment device, a steam turbine, and the like, and includes a plurality of devices. In addition, to meet the output requirements of the plant 7 (boiler 71), for example, the power demand, etc., the operation of the plant 7 becomes the optimal method, and adjustments can be set in each of these plural devices, such as the boiler 71 Operating parameters P such as control variables that affect the combustion state and control variables that affect the processing of exhaust gas.

However, at the time of the operation of such a building 7, there may be multiple settings (operating conditions R) of a plurality of operating parameters P that satisfy the output requirements of the building 7 (boiler 71). Furthermore, since the measured values (flow value V) of fuel consumption, air-fuel ratio (air volume), NOx and CO concentration, etc., change according to the operating conditions R of the plant 7, it is used for fuel cost and exhaust gas denitration. The cost of ammonia, the cost of ash removal, the power cost of various machines, etc. are different, and the operating cost (cost) also varies. For example, if the NOx concentration can be reduced by lowering the burner nozzle angle of the burner 74, the amount of ammonia used in the denitrification device 81 can be saved accordingly. However, on the other hand, lowering the burner nozzle angle to lower the metal temperature of the heat transfer tube of the heat exchanger 79 will result in a lowering of the steam temperature (adjusted to a fixed value) of the superheated steam generated in the boiler. The adjustment range of the temperature of the steam flowing through the steam pipe 7p is reduced by the spray injection of the device 7c.

Therefore, the inventors of the present invention considered not only the cost but also various flow values V in order to optimize the operation of the plant 7 and thought of the necessity of comprehensively evaluating the operating conditions R of the plant 7. Generally, there are multiple operating conditions R that can satisfy the required output of a plant (boiler). However, if the inventors can compare the evaluation results obtained by evaluating multiple operating conditions R with each other, they should be able to compare multiple operating conditions R. While the operating conditions R are compared, more appropriate operating conditions are selected.

Hereinafter, the operation support device 1 for a plant that can support selection of a more appropriate operation condition R from a plurality of operation conditions R will be described using FIGS. 2 to 5A. Fig. 2 is a block diagram showing the structure of the plant operation support device 1 according to one embodiment of the present invention. FIG. 3 is a diagram illustrating details of calculation items of the cost index value C according to an embodiment of the present invention. FIG. 4 is a diagram illustrating the details of the calculation items of the score S according to an embodiment of the present invention. FIG. 5A is a diagram showing the relationship between the predicted value of the flow value V and the individual score Si according to an embodiment of the present invention, and shows an example of the flow value V whose value is as small as possible. FIG. 5B is a diagram showing the relationship between the predicted value of the flow value V and the individual score Si according to an embodiment of the present invention, and shows an example of the flow value V whose target range has been determined. FIG. 6 is a diagram showing a flow of determining the relationship between the flow value V and the score S according to an embodiment of the present invention.

As shown in FIG. 2, the operation support device 1 of the plant includes an operation condition acquisition unit 12, a cost index value acquisition unit 2, a score acquisition unit 3, and an output information generation unit 4. In addition, the operation support device 1 is constituted by a computer, and includes a memory device m such as a CPU (processor) (not shown), a memory such as ROM and RAM, an external memory device, and the like. In addition, the CPU performs operations (calculation of data, etc.) in accordance with the commands of the program (operation support program) read by the main memory device, thereby realizing each functional unit of the operation support device 1. Each of the aforementioned functional units included in the operation support device 1 will be described separately.

The operating condition acquisition unit 12 is configured to acquire a plurality of operating conditions R each including a plurality of operating parameters P for operating the above-mentioned general plant 7. In short, the operating condition R is the information setting that determines the setting value of each of the multiple (plural) operating parameters P. The multiple operating conditions R mentioned above are at least one operating parameter P due to the setting of the multiple operating parameters P. The value of is different, so the contents of the operating conditions R are different from each other. The operating parameters P include, for example, the amount of fuel supplied to the burner 71f and the amount of air, the burner nozzle angle of the burner 74, the opening of the AA adjusting damper 77d, the number of rotations of the blower 78, the number of rotations in the denitration device 81 There are various parameters such as the amount of supply of ammonia used, the amount of spraying in the desuperheater 7c, and the like. In addition, each operating condition R acquired by the operating condition acquiring unit 12 only needs to include at least one of all operating parameters P that can be changed in the plant 7.

The cost index value acquisition unit 2 is configured to acquire the cost index value C when the plant 7 is operated by each of the plural operating conditions R acquired by the above-mentioned operating condition acquisition unit 12. This cost index value C is an evaluation result of evaluating the operating conditions R from the viewpoint of operating costs. It may also be a predicted value of operating costs (operating costs), or it may be derived from operating conditions R that serve as a benchmark for current operating conditions R. (Hereinafter, reference operating conditions) The predicted value of the amount of reduction in operating costs (hereinafter, cost reduction). As shown in Fig. 3, the cost index value C can also be calculated based on the operating conditions R for each of a plurality of cost items, and these can be calculated by adding them together. In the example in FIG. 3, the cost index value C is calculated by adding up the cost items such as fuel cost, ammonia cost, auxiliary power cost, and ash removal cost that are predicted to occur during the predetermined period of operation of the plant 7. In addition, each expense item can also be calculated based on the unit price per unit quantity and consumption.

In addition, the above-mentioned cost index value C, which is the predicted value of operating costs or cost reduction, can be calculated separately based on the predicted value of at least one flow value in the case of each operating plant 7 under plural operating conditions R . For example, it is possible to predict the amount of ammonia necessary in the denitrification device 81 from the predicted value of the NOx concentration in a certain operating condition R, and therefore the ammonia cost can be predicted from the predicted result. In addition, since the fuel supply amount and the air amount can be predicted, costs such as fuel costs and operating costs of the combustion device 72 can be predicted. In addition, the predicted value of the flow value in the case of operating the building 7 under each operating condition can also be calculated using the prediction model M as shown in FIG. 2, and the details will be described later.

In the embodiment shown in FIG. 2, the cost index value acquisition unit 2 is configured to calculate a predicted value of cost reduction for each operating condition R and acquire it as a cost index value C. In this way, the cost index value C of the reference operating conditions is not directly calculated, and the cost index value C can be calculated based on the difference between the operating conditions R for which cost reduction is to be calculated and the values of various operating parameters P and the process value V in the reference operating conditions. (Cut costs). Specifically, the cost reduction of the reference operating conditions is set as zero, and for this, the ammonia cost reduced by the operating condition R of lowering the burner nozzle angle and the auxiliary power related to the power of the fan are added. To calculate the cost reduction by subtracting the predicted value of the fuel cost and other cost items that are predicted to increase on the contrary.

However, the present invention is not limited to this embodiment. In some other embodiments, for example, the cost index value acquisition unit 2 may be acquired from another device (cost index value calculation device not shown) that can calculate the cost index value C based on the operating condition R. For example, it is also possible to receive the cost index value C corresponding to the transmitted operating condition R as a response by transmitting the operating condition R or the like to the cost index value calculating device from the above-mentioned cost index value acquisition unit 2 or the like.

The score acquisition unit 3 is configured to acquire the score S in the case of each operating plant 7 under a plurality of operating conditions R, respectively. This score S is an evaluation value of the operating condition R based on the predicted value of at least one flow value V. In short, the score S corresponds to an evaluation result obtained by evaluating an arbitrary operating condition R based on one or more flow values V predicted when the plant 7 is operated under the arbitrary operating condition R. In addition, as an example of each flow value V, there can be cited those whose emission standards such as NOx concentration and CO concentration have been set, the metal temperature of the heat transfer tube provided in the heat exchanger 79, and the overheating caused by the temperature reducer 7c. Vapor temperature reduction (the range of vapor temperature adjustment by spray injection), various temperatures such as vapor temperature, various pressures such as vapor pressure, measurement values of air-fuel ratio, air volume, etc.

In addition, in the case where the above-mentioned calculation of the score S is performed based on the evaluation results of a plurality of flow values V, as shown in Fig. 4, n (n is an integer of 1 or more) The n individual scores S (hereinafter each referred to as individual score Si) obtained from the predicted value of the flow value V of) are added up (E=ΣEi), etc., to calculate the score S. By determining the individual score Si so that the more ideal the flow value V is, the larger the value, on the contrary, the less ideal each flow value V is, the smaller the value. The operating condition R can be evaluated from the point of view of the flow value V by the score S .

In more detail, in some embodiments, as shown in FIGS. 5A to 5B, the individual score Si may also become a positive value (positive value) within a range that satisfies the target value Vt of the flow value V. ), or a negative value (negative value) in other ranges. In addition, the individual score Si may be a value based on the degree of achievement of the target. Specifically, in the case of a flow value V (for example, those with emission standards such as NOx concentration) that have established emission standards such as NOx concentration, etc., the smaller the value, the better the flow value V (for example, those with emission standards such as NOx concentration) can also be set as shown in Figure 5A. The larger the flow value V, the smaller the individual score Si. Conversely, in the case of a flow value V such as a larger value, the better the flow value V is, the larger the individual score Si is. In addition, in the case where the value of the flow value V must be within the target range (predetermined range), as shown in Fig. 5B, the value set within the target range may be set as the predicted value of the flow value V leaves For the target value Vt, the individual score Si becomes smaller.

In the example shown in FIG. 5A, the target value Vt is set to a value smaller than the limit value (Vmax) necessary for the operation of the plant 7 to be satisfied. In addition, the individual score Si is defined as the predicted value of the flow value V in a range smaller than the target value Vt, that is, the first range a1 is positive, and in a range larger than the target value Vt (the second range a2, the second range) 3 Range a3) is negative. Such a flow value V is not ideal if it is larger than the target value Vt, but is larger than the target value Vt, and is in the range below the limit value (Vmax), that is, the second range a2 can operate the plant 7. Therefore, the inclination of the second range a2 is set larger than the inclination of the third range a3, which is a larger limit value range. Thereby, the individual score Si in the case where the predicted value of the flow value V is in the third range a3 is significantly reduced compared to the case in the second range a2, and the score S of the operating condition R is calculated to be smaller.

On the other hand, in the example in FIG. 5B, the target value Vt is set within the first range a1 of the target range defined by the lower limit value (Vmin) and the upper limit value (Vmax). In addition, the individual score Si is defined as the larger the absolute value of the difference between the predicted value of the flow value V and the target value Vt, the smaller. In other words, the individual score Si is determined to be smaller as it is farther from the target value Vt (the closer to the target value Vt is, the larger the value Vt is). In addition, the inclination in the third range a3 outside the target range is larger than the inclination in the first range a1 (within the target range), and the individual score Si in the third range a3 is set to be higher than the first range a1. And the larger the predicted value of the flow value V, the sharper the decrease. Thereby, the individual score Si in the case where the predicted value of the flow value V is in the third range a3 is significantly reduced compared to the case in the first range a1, and the score S of the operating condition R is calculated to be smaller.

Moreover, by predetermining the relationship between the predicted value of each flow value V and the individual score Si as shown in FIGS. 5A to 5B (refer to FIGS. 5A to 5B), the prediction of each flow value V Value to calculate the individual score Si. Furthermore, in the embodiment shown in FIG. 2, the score acquisition unit 3 uses the score transformation function F for each flow value V that can calculate the individual score Si corresponding to the predicted value of the flow value V according to the operating condition R, respectively The individual score Si of each flow value V is calculated, and the score S is obtained by adding up the calculated individual scores Si.

Specifically, in the embodiment shown in FIG. 2, the operation support device 1 further includes a flow value predicting unit 14 that calculates the predicted value of the desired flow value V using the prediction model M. Furthermore, the score acquisition unit 3 calculates the score S for each operating condition R based on the predicted value of one or more flow values V per operating condition R input from the flow value predicting unit 14. More specifically, the score acquisition unit 3 includes an individual score calculation unit 31 and an aggregation unit 32. Moreover, when the score obtaining unit 3 inputs the predicted value of the flow value V for each operating condition R from the flow value predicting unit 14, the individual score calculating unit 31 calculates the individual of the predicted value of each flow value V for each operating condition R. After scoring Si, the totalizing unit 32 calculates the total value of one or more individual scores Si per operating condition R calculated from the individual score calculating unit 31, thereby obtaining the score S.

In addition, the above-mentioned prediction model M may be created (constructed) by learning the relationship between the operating conditions R and the flow value V based on operating data obtained by actually operating the plant 7 in some embodiments. Specifically, as shown in FIG. 6, for example, in a combustion adjustment test, the desired flow value V when the building 7 is operated under each of the plural operating conditions R is measured (step S61 in FIG. 6). In addition, learning data composed of the measured values of the operating conditions R and the desired flow value V plus the corresponding plural data is generated, and the generated learning data is mechanically performed using well-known techniques such as neural networks. By learning, a prediction model M is created that calculates (outputs) the predicted value of the desired flow value V corresponding to the input operating condition R (step S62 in FIG. 6). In addition, at least a part of the above-mentioned learning materials may be constituted by the measured values of the operating conditions R and the desired flow value V obtained during the past operation of the plant 7.

And, after that, simulate the flow value V due to a plurality of operating conditions R imaginary using the prediction model M (step S63 in Fig. 6), and score the flow value V obtained by the simulation to determine the flow value V as shown in Fig. 5A to The relationship between the predicted value of each flow value V and the individual score Si as shown in FIG. 5B (step S64 in FIG. 6).

In this way, by creating the predictive model M that can calculate the predicted value of the expected flow value V for the operating condition R, even if the operating condition R is not actually used in the operation of the plant 7, the expected value at this time can still be obtained. Process value V (predicted value). However, the present invention is not limited to this embodiment, and in some other embodiments, it is also possible to theoretically calculate the flow value V and the like and use other techniques to create the prediction model M.

The output information generating unit 4 is configured to generate output information I including a combination of a score S and a cost index value C obtained for each of a plurality of operating conditions R. As shown in Fig. 2, the output information generating unit 4 obtains the cost index value C corresponding to each operating condition R obtained by the cost index value obtaining unit 2 and each operating condition R obtained by the score obtaining unit 3. The score S produces the aforementioned output information I. The output information I can also be a list of data that associates the operating condition R or the identification information (ID, etc.) of the operating condition R with the evaluation result, namely the score S and the cost index value C, and such data as HTML and Information described in markup languages such as XML.

If such output information I is output to a display device 16 such as a display by, for example, the first output unit 61 described later, as shown in FIG. 2, the operator or the like can assign a plurality of operating conditions R to score S And the viewpoint of cost index value C for visual comparison. In addition, for example, if the operating condition R of one selected from the output information I is sent to the control device (DCS) of the plant 7 etc. via the second output unit 62 and the third output unit 63 described later, From the viewpoint of the score S and the cost index value C, the operation of the plant 7 is optimized. Therefore, appropriate operating conditions can be obtained from a plurality of operating conditions R from the viewpoint of scores and cost index values.

In addition, in Fig. 2, the plural operating conditions R acquired by the operating condition acquisition unit 12 are input to the cost index value acquisition unit 2 and the flow value prediction unit 14, respectively, but the cost index value acquisition unit 2 and the flow value prediction unit 14 The processing performed by the score acquisition unit 3 may be executed in parallel or sequentially (sequentially). In the latter case, after a plurality of operating conditions R acquired by the operating condition acquisition unit 12 are input to the flow value prediction unit 14 and processed, they may be performed by the cost index value acquisition unit 2 and the flow value prediction unit 14.

According to the above-mentioned structure, the operation support device 1 of the plant is aimed at, for example, a plurality of operating conditions R such that the plant 7 can be operated to obtain the desired output (rated output, etc.), and the plant can be operated by separately obtaining the operating conditions R. The score S and the cost index value C in the case of 7 generate information (output information I) of plural combinations of the score S and the cost index value C. In this way, in addition to the evaluation of a plurality of operating parameters P due to the score S, each evaluation of a plurality of operating conditions R can be performed from the viewpoint of the score S and the cost index value C. Therefore, it is possible to support the selection (ascertainment) of an appropriate operating condition R from among a plurality of operating conditions R by the evaluation from the two perspectives of the score S and the cost index value C in the case of operating the plant 7.

Next, the embodiment related to the output unit that outputs the above-mentioned output information I will be described using FIGS. 7 to 8. Fig. 7 is a display example of a graph G serving as an evaluation result of a plurality of operating conditions R according to an embodiment of the present invention, and the graph G is a scatter graph. The number of plot points of the scatter diagram, in other words, the number of operating conditions R is one example and is not limited. In addition, FIG. 8 is a display example of a graph G serving as an evaluation result of a plurality of operating conditions R according to an embodiment of the present invention, and the graph G is a diagram in which the outer periphery of the scatter graph in FIG. 7 is framed.

In some embodiments, as shown in Fig. 2, the above-mentioned operation support device 1 may be further equipped with: a first output unit 61, which is based on the output information I generated by the output information generating unit 4, from The graph G (refer to Figures 7 to 9) related to the score S and the cost index value C obtained by the multiple combinations corresponding to the multiple operating conditions R acquired by the operating condition acquisition unit 12 is output to a display or the like Device 16. In short, the first output unit 61 generates data for displaying the above-mentioned graph G on the screen of the display device 16 based on the output information I, and sends it to the display device 16. Thereby, the evaluation result evaluated by the score S and the cost index value C for each of a plurality of operating conditions R is displayed as a graph G on the screen. In addition, on the screen display of the graph G, the details of the contents of the operating conditions R and the like are associated with the part indicated by the cursor linked to the operation of the mouse and the part designated by the touch operation (pointing operation) Information can also be displayed on the screen.

In the graph G of the embodiment shown in Fig. 7, the horizontal axis (x-axis) is the score S, the vertical axis (y-axis) is the cost reduction (cost index value C), and a plurality of operating conditions R Each is a scatter diagram plotted with its evaluation result (combination of score S and cost index value C). In the graph G of FIG. 7, each plotted point is shown as a circle, and each plotted point corresponds to any one of the plural operating conditions R. In addition, the origin of the graph G corresponds to the reference operating condition temporarily selected for comparison (the same applies to FIG. 8).

In addition, in the embodiment shown in Fig. 8, the above-mentioned graph G is a plot point of a scatter diagram that constitutes a combination of a plurality of scores S and a cost index value C for the above-mentioned plural operating conditions R The figure (figure; below, the outline figure Gs) of the set (refer to figure 7) surrounded by a frame. For example, on the screen display of the scatter diagram as shown in FIG. 7, for each operating condition selected as an example, shades such as overlap of plot points depending on the density of plot points are generated. In this embodiment, the evaluation by the shade itself is not performed. At this time, any one of the cost index value C or the score S becomes a plot point in the largest or largest range, and it may be difficult to distinguish due to the overlap of plot points on the screen display and other shade deviations. Therefore, by displaying the outline Gs of the scatter diagram on the screen, instead of the scatter diagram, it is easy to distinguish the peak of the scatter diagram, for example. Therefore, it is possible to easily grasp the combination of the score S and the cost index value C in which either the cost index value C or the score S becomes the largest or the largest range.

The outline Gs of the above-mentioned scatter diagram is a figure connected by partial straight lines etc. of a plurality of plot points constituting the scatter diagram, and all other plot points constituting the scatter diagram are contained inside the figure. Graphics. However, outliers and determinable plot points may not be included in the graph. In addition, for such a graph, for example, after dividing the x-axis (or y-axis) into a plurality of sections, the y value (x) is determined from one or more plot points contained in each section of the division. Value) is the maximum or maximum range of plot points and the minimum or minimum range of plot points, and the plural plotted points are distinguished from each other, by, for example, all plot points constituting the scatter diagram are included in It is made by the method of inner connection of straight connection. Alternatively, by setting the x value (or y value) to the maximum or maximum range or the minimum or minimum range of the plot point, etc., the plot point that becomes an arbitrary starting point is on the x-axis (or y-axis) When advancing in a single direction, the plot points adjacent in the advancing direction are connected to create the outline drawing Gs of the scatter diagram. It can also be produced by other methods. In addition, the minimum range refers to a value considered to be substantially equivalent to the minimum of the cost index value C, and is set from the minimum 100% to 120%, and more preferably is the range from the minimum 100% to 110%. This allows for the slight difference in the cost index value C.

According to the above configuration, the first output unit 61 outputs a graph (scatter diagram, etc.) related to the score S and the cost index value C based on a plurality of combinations of the score S and the cost index value C corresponding to a plurality of operating conditions R于display device 16. Thereby, the operator or the like can visually compare a plurality of operating conditions R from the viewpoint of the score S and the cost index value C, and can support the selection of appropriate operating conditions.

In addition, in some embodiments, as shown in Fig. 2, the above-mentioned operation support device 1 may further include: a second output unit 62 that outputs a plurality of operation conditions R, and the basis is displayed The operating condition R corresponds to the combination of the score S and the cost index value C inputted by the operator of the device 16 or the like. Specifically, the output destination of the second output unit 62 may be the control device of the factory 7 or the display device 16.

In short, the graph G displayed on the display device 16 by the first output unit 61 is configured to be selectable by mouse operations, touch operations, etc., performed by an operator or the like. Furthermore, in the embodiment shown in FIG. 2, by the selection operation on the screen of the display device 16, the information (selection information) of the plot point or position on the selected graph G is sent to the operation support device 1. Therefore, the second output unit 62 outputs the operating condition R established corresponding to the received selection information to at least one of the control device of the plant 7 or the display device 16.

According to the above-mentioned structure, the second output unit 62 outputs the (associated) operating condition R corresponding to, for example, a combination of an arbitrary score S selected by an operator on the screen and a cost index value C. For example, outside of the control device (DCS) of the plant 7 and the like. Thereby, the selected operating condition R can be transmitted to the output destination of the second output unit 62.

Next, an alternative embodiment in which an operating condition R satisfying a predetermined selection condition is selected from a plurality of operating conditions R will be described using FIG. 9. FIG. 9 is a display example of a graph G including the combination selected by the selection unit 5 according to an embodiment of the present invention, and corresponds to FIG. 7.

In other words, in some embodiments, as shown in FIG. 2, the above-mentioned operation support device 1 may further include: a selection unit 5 corresponding to a plurality of operation conditions R from the output information I Among the plural combinations of the score S and the cost index value C, at least one combination that satisfies the selection condition (described later) is selected. In this case, the output information I may further include information (selected information) for displaying on the display device 16 a combination of at least one selected by the above-mentioned selecting section 5. In other words, the first output unit 61 outputs a combination of a plurality of scores S and a cost index value C obtained for each of a plurality of operating conditions R, and the output information I of the aforementioned selected information.

The above-mentioned selection part 5, in some embodiments, may also include the first selection part 51 as shown in FIG. 2, which is the score S and the cost index value obtained from each of the plural operating conditions R Among the combinations in which the score S of the combination of C is equal to or greater than the lower limit value S _min (refer to Fig. 9; in Fig. 9 it is 0), the combination in which the cost index value C becomes the best or the best range is selected (No. Figure 9 has the best cost). Here, the cost index value C is the best, which means that in the case of cost reduction, the larger the value, the lower the cost, so it is the maximum value or the range of the maximum value. When the cost index value C is the operating cost itself, because The larger the value, the higher the cost, and it becomes the minimum or minimum range. In addition, the optimal range refers to a value considered to be approximately the same as the optimal cost index value C, and is set to be from 100% to 80% of the optimal value, more preferably from 100% to 90% of the maximum value. Range up to %. This allows for the slight difference in the cost index value C. In short, the first selection unit 51 selects the following combination that satisfies the selection condition (the optimal cost condition). The selection condition is: S≧S _min and C (cost reduction) = the largest or largest range, or S ≧S _min , and C (operating cost) = the smallest or smallest range. In the embodiment shown in FIG. 9, the lower limit value S _min of the score S described above is 0, but in some other embodiments, the lower limit value S _min of the score S described above may be higher than 0. A larger value, or a smaller value than 0. Therefore, by becoming the lower limit value S _min of the score S or more, the requirements such as the degree of achievement of emission standards and the operability of the plant 7 evaluated based on the predetermined flow value V can be met, and the cost The index value C becomes the optimal or optimal range and the economic efficiency becomes the highest operating condition R, and it is selected from a plurality of operating conditions R.

In addition, in some other embodiments, the selection unit 5 may also include a second selection unit 52 as shown in FIG. 2 which is a score S and a cost index obtained from each of the plurality of operating conditions R Among the combinations of values C, a combination that has the largest or largest range of score S regardless of the cost index value C is selected (the score in Fig. 9 is the largest). In short, the second selection unit 52 does not necessarily use the cost index value C as a selection condition to select a combination that satisfies the selection condition (the maximum score condition) of S=max or the maximum range. With this, it is possible to set the highest priority operating condition R based on the degree of achievement of the emission standard evaluated by the score S and the operability of the plant 7 evaluated based on the predetermined flow value V. From among the plurality of operating conditions R Choose.

In some other embodiments, the selection part 5 may also include a third selection part 53, as shown in FIG. 2, which is the score S and the cost index value C obtained from each of the plural operating conditions R among the combinations of the score S becomes S ₁ in combination among the first value, the selected cost index value C that is a combination of the best or optimal composition range (hereinafter equilibrium compositions; FIG. 9 is balanced). Here, the first value S ₁ is larger than the aforementioned lower limit S _min (S ₁ >S _min ). In short, the third selection section 53 selects a combination that satisfies the selection condition (balance condition), and the selection condition is: S≧S ₁ and C (cost reduction)=maximum or maximum range, or S≧S ₁ , and C (cost) = smallest or smallest range. In the embodiment shown in Fig. 9, the first value S ₁ is a value larger than 0 (S ₁ > 0), but the first value S ₁ may be 0, or may be smaller than 0 The value of (S ₁ ≦0). By this, the operating condition R in which the score S and the cost index value C are balanced (combined) can be selected from a plurality of operating conditions R.

At this time, as described above, when the score S is calculated (totaled) based on the individual scores Si that evaluate the predicted values of each of the plurality of flow values V, the value of the score S becomes the same plurality of individual scores Si The set of values may be plural. Therefore, in such a set of individual scores Si, the value of the desired individual score Si may be larger. For example, even if the operating condition R has the same score S, there may still be cases where the individual score Si regarding the adjustment range of the vapor temperature by the spray injection of the temperature reducer 7c is relatively high, and there may be cases where the individual score Si regarding the NOx concentration is relatively high. When it is relatively high, for example, as a range of the maximum value or maximum value of the score S, an operating condition R having an excellent steam temperature adjustment range due to spray injection may be found from among operating conditions R that are substantially the same.

Therefore, in some other embodiments, the selection part 5 may also include a fourth selection part 54 as shown in Fig. 2, which selects the combination (balanced periphery in Fig. 9) as having The value of the score S within the predetermined range (score range Sr) of the score S based on the value of the score S of the above-mentioned balanced combination (the combination of the score S satisfying the balance condition and the cost index value C), and has The value of the cost index value C of the balanced combination is one of the other one or more combinations of the score S and the cost index value C in the predetermined range (cost range Cr) of the cost index value C as the reference There is the maximum value or the maximum value range of the individual score Si for a specific flow value V.

The aforementioned score range Sr may also be any one of the range from the score S of the balance combination to +α1, the range to -α2, and the range from -α2 to +α1 (α1, α2≧0. Established value). In this case, α1=α2 and α1≠α2 may also be used. Similarly, the above-mentioned cost range Cr may be, for example, any one of the range from the cost index value C of the balanced combination to +β1, the range to -β2, and the range from -β2 to +β1 (β1 , Β2≧0 established value). In this case, β1=β2 and β1≠β2 may also be used. In short, the fourth selection unit 54 selects a combination of S in the score range Sr and C in the cost range Cr, and satisfies the selection condition (balanced peripheral condition) of a specific individual score Si=maximum or maximum range. The above-mentioned predetermined values of α1 and α2 and the predetermined values of β1 and β2 are set to appropriate ranges based on the value of the score S and the occurrence status of the value of the cost index value C. Or as a simplified method, the value of the score S and the value of the cost index value C are ±20%, and more preferably, the range of ±10% of the value.

With this, it is possible to select a general operating condition R in which the desired specific flow value V is predicted to have a higher evaluation (individual score Si) in the vicinity of the balance combination, and to select an operation that prioritizes the specific flow value V Condition R.

According to the above-mentioned structure, the output information I includes the combination of the cost index value C and the score S used to satisfy the predetermined selection condition to be superimposed on the graph G, for example, and displayed together with the evaluation result of the combination of the plural operating conditions R The combinations satisfying the selected conditions are displayed on the display device 16 in a form of being associated with the chart G. Thereby, it can be displayed that the combination of the score S and the cost index value C selected by the selection unit 5 can be easily compared with other combinations, and the optimal operating condition R can be automatically extracted.

On the other hand, in some other embodiments, the above-mentioned operation support device 1 may further include a third output unit 63 in addition to the above-mentioned selection unit 5 for selecting the selection unit 5 based on the above-mentioned selection conditions. Among the selected at least one combination, the operating condition R corresponding to one combination that matches the operating mode of the plant 7 is output. For example, the third output unit 63 may be connected to the control device of the plant 7 or the control device of the plant 7 may control the plant 7 with the operating condition R output by the third output unit 63 as the command value.

In addition, the operating mode is information indicating which operating condition R should actually be adopted from among operating conditions R corresponding to one or more combinations selected by the selection unit 5. Specifically, the operation mode may be used to indicate the operation condition R that satisfies any of the cost optimum condition, the maximum score condition, the balance condition, and the balance peripheral condition. Therefore, the third output unit 63 outputs the operating condition R corresponding to the combination of the score S and the cost index value C that satisfy the selected condition indicated in the operating mode.

According to the above-mentioned structure, the third output unit 63 outputs the operating condition R corresponding to the combination of the score S and the cost index value C satisfying the selection condition instructed by the operating mode to the outside of the control device of the plant 7, for example. Thereby, the operation of the plant 7 and the like can be performed by the operation condition R according to the operation mode.

In addition, in some other embodiments, the operation support device 1 may not include the aforementioned selection unit 5. In this case, the output information generating unit 4 and the output unit 6 are directly connected.

Hereinafter, the operation support method for the plant corresponding to the processing executed by the operation support device 1 described above will be described with reference to FIG. 10. Fig. 10 is a flowchart showing a plant operation support method according to an embodiment of the present invention.

As shown in Figure 10, the plant operation support method (hereinafter referred to as the operation support method) includes: an operation condition acquisition step (S1), a cost index value acquisition step (S2), a score acquisition step (S3), and output Information generation step (S4). The operation support method will be explained in the order of steps in Figure 10.

In step S1 in Fig. 10, an operating condition obtaining step is executed. The operating condition obtaining step (S1) is a step of obtaining a plurality of operating conditions R described above. Since the operation condition acquisition step (S1) is the same as the processing content executed by the operation condition acquisition unit 12 already described, the details are omitted.

In step S2, a cost index value acquisition step is executed. The cost index value acquisition step (S2) is a step of acquiring the cost index value C (described above) when the plant 7 is operated by each of the plurality of operating conditions R acquired through the operating condition acquisition step (S1). The cost index value acquisition step (S2) is the same as the processing content executed by the cost index value acquisition unit 2 already described, so the details are omitted.

In step S3, a score obtaining step is executed. The score acquisition step (S3) is a step of acquiring the score S (described above) when the plant 7 is operated by each of the plural operating conditions R acquired through the operating condition acquisition step (S1). The score acquisition step (S3) is the same as the processing content executed by the score acquisition unit 3 already described, so the details are omitted.

In step S4, an output information generation step is performed. The output information generating step (S4) is a step of generating the aforementioned output information I. The output information generating step (S4) is the same as the processing performed by the output information generating unit 4 already described, so the detailed content is omitted.

In the embodiment shown in Fig. 10, in step S5, execution is performed to select among a plurality of combinations of scores S and cost index values C corresponding to a plurality of operating conditions R contained in the aforementioned output information I to satisfy the selection condition The step of selecting at least one combination of the (S5). The selection step (S5) is the same as the processing performed by the selection unit 5 already described, so the detailed content is omitted, but any one of the above-mentioned cost optimal condition, maximum score condition, balance condition, and balance peripheral condition may be selected. The operating condition R is at least one of the conditions.

Furthermore, in the case where the graph G screen including the operating conditions R selected in the selection step (S5) is displayed on the display device 16, in step S61, by executing the processing content corresponding to the above-mentioned first output unit 61 In the first output step (S61), the above-mentioned graph G (refer to FIGS. 7 to 9) is displayed on the display device 16. In addition, in step S62, by executing the second output step corresponding to the processing content of the second output unit 62 described above, the operating condition R corresponding to the plot point or position of the graph G selected by the operator is set, Set in the control device of the plant 7. Conversely, when the above-mentioned screen display is not performed, by executing the third output step (S63) corresponding to the processing content of the third output unit 63 described above, the one selected in the selection step (S5) The operating condition R is set in the control device of the plant 7.

According to the above-mentioned structure, by evaluating each of the plurality of operating conditions R from the viewpoint of the score S and the cost index value C, it is possible to support the selection (ascertainment) of the appropriate operating condition R from the plurality of operating conditions R.

The present invention is not limited to the above-mentioned embodiment, but includes forms modified from the above-mentioned embodiment and forms in which these forms are appropriately combined.

1: Operation support device m: memory device 12: Operation condition acquisition department 14: Process value prediction department 16: display device 2: Cost index value acquisition department 3: Scoring department 31: Individual score calculation department 32: Total Department 4: Output information generation part 5: Selected part 51: Part 1 Selection (Optimum Cost Conditions) 52: The second selected part (the maximum score condition) 53: Part 3 Selection (Balance Condition) 54: The fourth selection (balanced peripheral conditions) 6: Output section 61: The first output part 62: The second output part 63: The third output part 7: Plant 7c: Cooler 7p: steam pipe 71: boiler 71f: Burning furnace 72: Combustion device 73: flue 74: Burner 75: Pulverized coal supply pipe 76: Crusher 77a: Air duct 77b: Division 77c: branch duct 77d: Adjust the damper 77e: Bellows 77p: port 78: Blower 79: Heat Exchanger 79a: 2 times superheater 79b: 3 times superheater 79e: 1 superheater 8: Exhaust channel 81: Denitration device 82: Air heater 83: Coal dust treatment device 84: Exhaust fan 85: Chimney R: Operating conditions P: Operating parameters V: Process value Vt: target value C: Cost index value Cr: cost range G: Chart Gs: Outline drawing I: Output information M: predictive model S: score Si: Individual score Smin: lower limit S1: first value Sr: Score range F: Score transformation function a1: The first range of process value a2: The second range of process value a3: The third range of process value

[Figure 1] A diagram schematically showing the structure of a boiler provided in a factory building according to an embodiment of the present invention. [Figure 2] A block diagram showing the structure of an operation support device for a factory building according to an embodiment of the present invention. [Figure 3] A diagram illustrating details of calculation items of a cost index value according to an embodiment of the present invention. [Figure 4] A diagram illustrating the details of a score calculation item according to an embodiment of the present invention. [Figure 5A] is a diagram showing the relationship between the predicted value of the flow value and the individual score according to an embodiment of the present invention, and shows an example of a flow value that is as small as possible. [Figure 5B] is a diagram showing the relationship between the predicted value of the flow value and the individual score according to an embodiment of the present invention, and shows an example of the flow value with a predetermined target range. [Figure 6] is a diagram showing the flow of determining the relationship between the flow value and the score according to an embodiment of the present invention. [Figure 7] is a display example of a graph used as evaluation results of a plurality of operating conditions according to an embodiment of the present invention, and the graph is a scatter graph. [Fig. 8] is a display example of a graph used as evaluation results of a plurality of operating conditions according to an embodiment of the present invention. The graph is a diagram in which the outer periphery of the scatter graph in Fig. 7 is framed. [FIG. 9] It is an example of a chart including the combination selected by the selection part according to an embodiment of the present invention, and corresponds to FIG. 7. [Figure 10] is a flowchart showing a plant operation support method according to an embodiment of the present invention.

1: Operation support device

2: Cost index value acquisition department

3: Scoring department

4: Output information generation part

5: Selected part

6: Output section

12: Operation condition acquisition department

14: Process value prediction department

16: display device

31: Individual score calculation department

32: Total Department

51: Part 1 Selection (Optimum Cost Conditions)

52: The second selected part (the maximum score condition)

53: Part 3 Selection (Balance Condition)

54: The fourth selection (balanced peripheral conditions)

61: The first output part

62: The second output part

63: The third output part

C: Cost index value

F: Score transformation function

I: Output information

m: memory device

M: predictive model

P: Operating parameters

R: Operating conditions

S: score

Si: Individual score

V: Process value

Claims (11)

A plant operation support device, which includes: The operating condition obtaining unit is configured to obtain a plurality of operating conditions, which respectively include a plurality of operating parameters for operating the plant; The cost index value acquisition unit is configured to separately acquire the cost index value in the case where the aforementioned plant is operated under each of the aforementioned plural operating conditions; The score obtaining unit is configured to calculate the evaluation value of the aforementioned operating condition, that is, the score, respectively, based on the predicted value of at least one flow value in the case where the aforementioned plant is operated by each of the aforementioned plural operating conditions; The output information generating unit is configured to generate output information including a combination of the score obtained for each of the plurality of operating conditions and the cost index value. For example, the operation support device of the plant in item 1 of the scope of patent application, in which, It is further equipped with: a first output unit for outputting, based on the output information generated by the output information generating unit, the score obtained by the plurality of combinations corresponding to the plurality of operating conditions and the correlation graph of the cost index value to Display device. For example, the operation support device of the plant in item 2 of the scope of patent application, of which, The aforementioned graph is a graph in which a frame is added to the outer periphery of the set of plot points constituting the aforementioned plural combination of scatter graphs. For example, the operation support device of the plant in item 2 of the scope of patent application, of which, It is further provided with a second output unit for outputting the operating conditions corresponding to the combination of the score and the cost index value input through the selection operation of the display device among the plurality of operating conditions. For example, the operation support device of the plant in item 2 of the scope of patent application, of which, It is further equipped with: the selection part is to select at least one combination that satisfies the selection condition from the plurality of the aforementioned combinations contained in the aforementioned output information, The output information further includes information for displaying the combination of the at least one selected by the selecting part on the display device. For example, the operation support device of the plant in item 1 of the scope of patent application, in which, It is further equipped with: a selection part that selects at least one combination that satisfies the selection condition from among the plurality of the aforementioned combinations contained in the aforementioned output information; and The third output unit outputs the aforementioned operating conditions corresponding to the aforementioned combination of the aforementioned at least one combination selected by the aforementioned selection unit and one of the aforementioned operating modes of the plant. Such as the operation support device of the plant in the 5th or 6th item of the scope of patent application, of which, The aforementioned selected part, Including: the first selection part is the combination of the score obtained from each of the plurality of operating conditions and the cost index value, among the combinations in which the score is greater than the lower limit, and the cost index value is selected as The foregoing combination of the best or optimal range. Such as the operation support device of the plant in the 5th or 6th item of the scope of patent application, of which, The aforementioned selected part, Contains: the second selection part is the combination of the scores and the cost index values obtained from each of the plurality of operating conditions, and the combination of the scores having the largest or largest range regardless of the cost index value is selected . Such as the operation support device of the plant in the 5th or 6th item of the scope of patent application, of which, The aforementioned selected part, Contains: the third selected part is the combination of the score obtained from each of the plurality of operating conditions and the combination of the cost index value, in which the score becomes the first value or more than the lower limit value , Select the aforementioned combination in which the aforementioned cost index value becomes the best or optimal range, that is, the balanced combination. For example, the operation support device of the plant in the scope of patent application, in which, The aforementioned score is the total of individual scores that evaluate the predicted values of each of the plurality of process values. The aforementioned selected part, It further includes: the fourth selection part is to select the value of the score in the score range based on the value of the score of the balance combination, and has a cost range based on the value of the cost index of the balance combination Among the other one or more combinations of the value of the cost index value within, there is the combination in which the individual score for the specific flow value becomes the largest or the largest range. A method of plant operation support, including: The operating condition obtaining step is constituted to obtain a plurality of operating conditions, and the plurality of operating conditions respectively include a plurality of operating parameters for operating the plant; The cost index value obtaining step is configured to obtain the cost index value in the case where the aforementioned plant is operated by each of the aforementioned plural operating conditions; The score calculation step is configured to respectively calculate the evaluation value of the aforementioned operating condition, that is, the score, based on the predicted value of at least one process value in the case where the aforementioned plant is operated by each of the aforementioned plural operating conditions; and The output information generating step is configured to generate output information including a combination of the score obtained for each of the plurality of operating conditions and the cost index value.

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