Plant operation support system and plant operation support method

Abstract

To provide operation support information that serves as a determination basis for executing an appropriate operation for a plant.SOLUTION: A plat operation support system includes: a plant status setting data storage unit 14 for storing plant status setting data that sets a combination of regions that plant data can take in each of at least two or more biaxial graphs and a plant status corresponding to the combination of regions; and a plant data analysis unit 15 that outputs two or more biaxial graphs plotting evaluation plant data to be evaluated by analyzing the plant data, and information indicating the plant status of the evaluation plant data obtained by referring to the plant status setting data based on the combination of regions plotted with the evaluated plant data on two or more biaxial graphs.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a plant operation support system and a plant operation support method. [Background technology]

[0002] It is extremely important to monitor items that represent trade-offs in plant operations, and if there are abnormalities or poor performance, to identify the cause on-site and make improvements. For example, in a sewage treatment plant, the trade-offs are between "water quality" and "energy." While it is necessary to improve the "water quality" of discharged water from the perspective of preserving the water environment, it is also necessary to pursue energy conservation, which is a cost factor, from the perspective of resource conservation, cost, and CO2 reduction.

[0003] In order to promote meticulous water environment management, the Ministry of Land, Infrastructure, Transport and Tourism published the "Guidelines for Optimal Management of Water Quality and Energy - Dual-Axis Management at Sewage Treatment Plants" (Non-Patent Document 1) in March 2018 as a management method for optimal management by setting a balanced set of water quality management targets and energy reduction targets. Dual-axis management is a management method that utilizes a dual-axis graph. A dual-axis graph is a graph (scatter plot) consisting of two evaluation axes (for example, vertical and horizontal axes). It is said that by using a dual-axis graph to visualize the operating status of a plant, it becomes easier to understand the current situation and identify issues related to the evaluation axis items.

[0004] This dual-axis management, or dual-axis graph, typically selects treated water quality and energy consumption as the axes of the graph, and is used to visualize changes from year to year or month to month, differences between treatment plants, and the effects of introducing energy-saving equipment.

[0005] However, after visualization, it is necessary to explore ways to improve the situation by taking into account other data and past trends, and by utilizing the tacit knowledge of experts.However, with the population declining, the number of experts is also decreasing year by year, so it is desirable to introduce a driving assistance system that links current measurement data with the situation and helps explore ways to improve the situation.

[0006] Patent Document 1 discloses a process status monitoring device that uses multivariate statistical process control (MSPC) to support rapid abnormality diagnosis of a monitored object. This process status monitoring device calculates diagnostic data from two or more measurement variables acquired from the monitored object, and when a process abnormality is detected based on the diagnostic data and a judgment criterion, it lists the names of candidate variables that may be the cause of the abnormality and displays them on a display unit. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] Japanese Patent Application Laid-Open No. 2012-138044 Summary of the Invention [Problem to be solved by the invention]

[0008] However, the technology described in Patent Document 1 is a technology for detecting abnormal states relative to a statistically average normal state, and only lists candidate variables that may be contributing factors to a state change. As a result, understanding possible situations and determining what to do next ultimately requires relying on the experience and tacit knowledge of skilled workers. Furthermore, the process status monitoring device described in Patent Document 1 is a device that detects abnormal states relative to a normal state, and therefore has the problem of not providing suggestions for improving the current normal state.

[0009] Given the above situation, there has been a demand for a method to provide plants with operational support information that can serve as a basis for making decisions to operate appropriately. [Means for solving the problem]

[0010] In order to solve the above-mentioned problems, one embodiment of the plant operation support system of the present invention is a plant operation support system that analyzes plant data obtained from a plant and provides a biaxial graph that determines the analysis results, and includes a plant status setting data storage unit that stores plant status setting data that sets combinations of areas that the plant data can take in each of at least two or more biaxial graphs and the plant status corresponding to the combinations of areas, and a plant data analysis unit that analyzes the plant data and outputs two or more biaxial graphs on which evaluation plant data to be evaluated is plotted, and information indicating the plant status of the evaluation plant data obtained by referring to the plant status setting data based on the combinations of areas on the two or more biaxial graphs on which the evaluation plant data is plotted. [Effects of the Invention]

[0011] According to at least one aspect of the present invention, it is possible to provide a plant with operation support information that serves as a basis for making decisions to perform appropriate operation. Problems, configurations, and effects other than those described above will become apparent from the following description of the embodiments. [Brief explanation of the drawings]

[0012] [Figure 1] FIG. 2 is a diagram showing an example of a screen displayed as operation support information generated by the plant operation support system according to the first embodiment of the present invention. [Figure 2] 1 is a block diagram showing an example of the configuration of a control system of a plant operation support system according to a first embodiment of the present invention. [Figure 3] FIG. 2 is a diagram showing an example of setting a plant status set by a plant status setting unit according to the first embodiment of the present invention. [Figure 4] FIG. 10 is a block diagram showing an example of the configuration of a control system of a plant operation support system according to a second embodiment of the present invention. [Figure 5] FIG. 10 is a diagram showing an example (1) of a two-axis graph including past and future predicted values, which is a result calculated by an evaluation plant data future analysis unit according to the second embodiment of the present invention. [Figure 6] FIG. 10 is a diagram showing an example (2) of a two-axis graph including past and future predicted values, which is a result calculated by the evaluation plant data future analysis unit according to the second embodiment of the present invention. [Figure 7] FIG. 11 is a diagram showing an example (1) of area division in a dual-axis graph according to the third embodiment of the present invention. [Figure 8] FIG. 11 is a diagram showing an example (2) of area division in a two-axis graph according to the third embodiment of the present invention. [Figure 9] FIG. 11 is a diagram showing an example (3) of area division in a dual axis graph according to the third embodiment of the present invention. [Figure 10] FIG. 10 is a block diagram showing an example of the configuration of a control system of a plant operation support system according to a fourth embodiment of the present invention. [Figure 11] FIG. 13 is a diagram showing an example of a dual-axis graph consisting of dual-axis control items according to the fourth embodiment of the present invention. [Figure 12] FIG. 12 is a diagram showing an example (1) of a dual-axis control item trend graph corresponding to the dual-axis graph of FIG. 11 according to the fourth embodiment of the present invention. [Figure 13] FIG. 11 is a block diagram showing an example of the configuration of a control system of a plant operation support system according to a modified example of the fourth embodiment of the present invention. [Figure 14] FIG. 12 is a diagram showing an example (2) of a dual-axis control item trend graph corresponding to the dual-axis graph of FIG. 11 according to the fourth embodiment of the present invention. [Figure 15] 1 is a block diagram showing an example of the hardware configuration of a computer included in a plant operation support system according to first to fourth embodiments of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0013] Hereinafter, examples of embodiments of the present invention will be described with reference to the accompanying drawings. In this specification and the accompanying drawings, components having substantially the same functions or configurations are designated by the same reference numerals, and redundant explanations will be omitted.

[0014] First Embodiment First, a plant operation support system according to a first embodiment of the present invention will be described. 1 is a diagram showing an example of a screen displayed as operation support information according to the first embodiment of the present invention. The operation support information is generated by a plant operation support system, which will be described later.

[0015] The operation support information 1 shown in FIG. 1 is an example including two two-axis graphs. A two-axis graph is a scatter diagram. In the example of FIG. 1, it is assumed that the plant supported by the plant operation support system is a sewage treatment plant, and the first two-axis graph is configured with the horizontal axis (X axis) representing the first management item "A" and the vertical axis (Y axis) representing the second management item "B." In this embodiment, "A" represents the power consumption of the blower (power consumption intensity [air blowing]), and the second management item "B" represents the treated water BOD (biological oxygen demand). The power consumption intensity here is the power consumption per inflow flow rate to the sewage treatment plant. In this specification, the power consumption intensity is also referred to as "power consumption intensity." Note that the specific management items are not limited to the example of FIG. 1. The first two-axis graph is divided into four areas (area I, area II, area III, and area IV) by a line X=A0 using A0, the reference value of the first control item, and a line Y=B0 using B0, the reference value of the second control item.

[0016] In the second dual-axis graph, like the first dual-axis graph, the horizontal axis (X-axis) is the first control item "A" (electric energy consumption rate [airflow]), but the vertical axis (Y-axis) is the third control item "C" (air magnification). Here, the air magnification is the blower air volume (air flow rate blown into the biological reactor) per inflow flow rate to the sewage treatment plant. The second dual-axis graph is divided into four areas (Area I, Area II, Area III, Area IV) by the line X=A0, which uses A0, the reference value of the first control item, and the line Y=C0, which uses C0, the reference value of the third control item.

[0017] Plant data to be evaluated at a certain time (hereinafter referred to as "evaluation plant data") has time information and information on the values of the first control item, the second control item, and the third control item. In the example of FIG. 1, the evaluation plant data is plotted in area II of the first dual-axis graph and area II of the second dual-axis graph. Also in the example of FIG. 1, a table showing the data status of the evaluation plant data is shown as operation support information 1 along with the first dual-axis graph and the second dual-axis graph. The state of the plant can be estimated from the data status of the evaluation plant data.

[0018] As explained above with "a certain time," in the present invention, it is possible to specify the time of the evaluation plant data to be plotted on the two-axis graph. In other words, it is basically possible to display the latest (e.g., real-time) evaluation plant data or past evaluation plant data on the two-axis graph of the operation support information 1. However, as will be explained in a second embodiment described later, the present invention is also capable of predicting and displaying future evaluation plant data as the operation support information 1.

[0019] The flow leading up to the display of the driving support information 1 will be described below with reference to FIG. 2 is a block diagram showing an example of the configuration of a control system of a plant operation support system according to a first embodiment of the present invention. The plant operation support system 10 collects plant data from a plant 20 via a network, and generates and outputs operation support information for the plant 20 based on the collected plant data. The plant operation support system 10 also communicates with external devices such as a PC (Personal Computer) via a network (not shown), inputs instructions from a system administrator, and outputs processing results.

[0020] The plant 20 for which the plant operation support system 10 provides operation support is primarily a plant that continuously receives and treats a fluctuating amount of material to be treated. In the following, a sewage treatment plant will be described as an example of the plant 20.

[0021] The plant 20 has the following three main functions for linking with the plant operation support system 10. The plant 20 includes a plant data acquisition unit 21, a plant data storage unit 22, and a two-axis control item display unit 23.

[0022] The plant data acquisition unit 21 acquires operation data and sensor data from equipment, sensors, etc. equipped in the plant 20 at predetermined time intervals as plant data of the plant 20. The plant data acquisition unit 21 also acquires data such as alerts that are generated separately from the periodic acquisition timing as plant data. The plant data acquisition unit 21 links the acquired plant data with time information (year, month, and day) at the time the plant data was acquired and outputs the linked data to the plant data storage unit 22.

[0023] The plant data storage unit 22 stores various types of plant data acquired by the plant data acquisition unit 21. Then, in response to a request from the plant operation support system 10, the plant data storage unit 22 outputs the requested plant data to the plant operation support system 10. The plant data storage unit 22 is a database that stores and accumulates plant data that is periodically acquired.

[0024] The dual-axis control item display unit 23 displays the operation support information 1 of the plant 20 that the plant 20 receives from the plant operation support system 10. The dual-axis control item display unit 23 displays dual-axis control items, i.e., dual-axis graphs, and the data status of the evaluation plant data as the operation support information of the plant 20. In the present invention, the dual-axis control item display unit 23 displays a plurality of dual-axis graphs.

[0025] As shown in FIG. 2, the plant operation support system 10 includes a control item setting unit 11, a reference value setting unit 12, a plant status setting unit 13, a plant status setting data storage unit 14, and a plant data analysis unit 15.

[0026] The control item setting unit 11 sets the control items to be included in the driving support information 1 according to instructions from the system administrator input from the input device 75 (see FIG. 15). In this embodiment, the control item setting unit 11 sets a first control item, a second control item, and a third control item as the control items. As shown in FIG. 1, the first control item is "A" (power consumption basic unit), the second control item is "B" (treated water BOD), and the third control item is "C" (air magnification).

[0027] The reference value setting unit 12 sets the reference value for each control item automatically or in accordance with instructions from a system administrator input from the input device 75. For example, in the example of FIG. 1, the reference value setting unit 12 sets a reference value A0 for a first control item A, a reference value B0 for a second control item B, and a reference value C0 for a third control item C. Here, each reference value may be set in accordance with the plant management guidelines, or may be set by calculation using plant data stored in the plant data storage unit 22. A typical calculation example is the average value for a specified period.

[0028] The plant status setting unit 13 sets possible plant statuses (a table showing the setting contents) using the control items set in the control item setting unit 11 and areas defined based on the reference values set in the reference value setting unit 12, in accordance with instructions from the system administrator inputted from the input device 75 (see FIG. 15). The plant status setting unit 13 stores the set plant status in the plant status setting data storage unit 14 as plant status setting data.

[0029] The plant data analysis unit 15 acquires plant data from the plant data storage unit 22 and analyzes the plant data based on the plant situation setting data stored in the plant situation setting data storage unit 14. Then, the plant data analysis unit 15 transmits operation assistance information (for example, operation assistance information 1 in FIG. 1 ) that is the result of the analysis to the plant 20 as display data.

[0030] The plant 20 receives display data (operation support information for the plant 20) from the plant operation support system 10, and displays the operation support information including the two-axis control items (two-axis graphs) of the plant 20 and the plant status on the two-axis control item display unit 23.

[0031] FIG. 3 is a diagram showing an example of the plant status set by the plant status setting unit 13. As shown in FIG. The plant status setting data 14D is an example of plant status setting data stored in the plant status setting data storage unit 14. The plant status setting data 14D has a "No." field, a "First Graph" field, a "Second Graph" field, and a "Possible Status and Countermeasures" field.

[0032] The "No" field is an identifier (a number in this embodiment) that identifies each record included in the plant status setting data 14D. The "First Graph" field indicates any one of areas I to IV of the first dual axis graph. The "Second Graph" field indicates any one of areas I to IV of the second dual axis graph. The "Possible Situations and Countermeasures" field indicates possible situations of the plant 20 and countermeasures for those situations when the evaluation plant data exists in the area indicated in the "First Graph" field and the area indicated in the "Second Graph" field.

[0033] In Figure 3, fields 1 to 4 of the plant status setting data 14D contain possible situations and countermeasures when the evaluation plant data is plotted in areas I to IV of the first dual-axis graph. For example, in area II (No. 2) plotted on the first dual-axis graph, where the power consumption rate [air blowing] is lower than the reference value and the treated water BOD is higher than the reference value, the possible situation and countermeasure is "insufficient aeration air volume. High raw water concentration. Increase air volume setting." The first dual-axis graph here has typical management items for dual-axis graphs proposed by the Ministry of Land, Infrastructure, Transport and Tourism, but operators would normally look at the dual-axis graph and consider the appropriate judgment to be "insufficient aeration air volume. High raw water concentration. Increase air volume setting."

[0034] Meanwhile, fields 5 to 8 of the plant status setting data 14D contain possible situations and countermeasures when the evaluation plant data is plotted in areas I to IV of the second dual-axis graph. A possible situation in area II (No. 6) plotted on the second dual-axis graph, where the power consumption rate [air blowing] is smaller than the reference value and the air magnification is larger than the reference value, is "high-efficiency operation with large air volume." Operators would normally consider the small power consumption rate [air blowing] and large air magnification to be good operation, meaning the blower is operating at its efficient rated (maximum) value.

[0035] However, when viewing Region II on the first dual-axis graph and Region II on the second dual-axis graph simultaneously, the possible situation (No. 14) is "The raw water concentration may be extremely high. If it is not possible to increase the air volume, ensure retention time and consider limiting inflow (temporarily reducing the return flow rate, temporary storage, etc.)." This is because, despite blowing in a large amount of air due to the high raw water concentration, the treated water BOD was not good, which is likely to have resulted in a situation where the raw water concentration is higher than expected. On-site countermeasures include temporarily reducing the return sludge flow rate to increase retention time, or retaining some of the sewage flowing into the sewage treatment plant in the pipelines to reduce the inflow flow rate.

[0036] If the above situation continues for a long time, it may be necessary to consider measures such as increasing the amount of suspended solids (MLSS: Mixed Liquor Suspended Solids) in the sludge mixed liquor. On the right side of Figure 1, possible situations are displayed as "Data Status" by extracting them from only the first dual-axis graph, only the second dual-axis graph, or both. According to this embodiment, by displaying the real-time (or latest) or specified time status of the plant 20 on the display screen (dual-axis control item display unit 23) of the monitoring and control system, it becomes possible to determine on-site control settings that will achieve energy conservation while considering the appropriate value for the BOD of the treated water.

[0037] Energy consumption intensity and treated water quality are important management items, as they are outputs relative to inputs. Energy consumption intensity and treated water quality are also greatly affected by the inflow flow rate and quality of inflow water, which are influenced by uncontrollable parameters such as season and rainfall. Furthermore, sewage treatment is a microbial process, and is affected by water temperature and the activity of microorganisms, whose performance is difficult to control directly. Unlike treatment in plants that maintain a constant operating state, sewage treatment plants continuously receive and treat sewage, a fluctuating material, and are subject to a large number of complex external factors.

[0038] Therefore, in a sewage treatment plant, the present invention is effective in analyzing not only the relationship between the unit power consumption and treated water quality, which is an important management item (first biaxial graph), but also the mutual influences of other related factors (second biaxial graph), and in advance describing the possible situations and countermeasures for mutual influence based on scientific knowledge (plant situation setting data 14D), and then extracting the expected situations and countermeasures (data situation).

[0039] In this way, the plant operation support system 10 of this embodiment can provide operation support information (e.g., operation support information 1) that serves as a basis for making decisions to carry out appropriate operation in a plant (e.g., plant 20) that continuously receives and processes mainly fluctuating materials to be treated, such as a sewage treatment plant.

[0040] As described above, the plant operation support system 10 according to the first embodiment of the present invention is a system that analyzes plant data obtained from a plant and provides a biaxial graph representing the analysis results to the plant 20 (monitoring and control system). The plant operation support system 10 includes a plant status setting data storage unit 14 and a plant data analysis unit 15. The plant status setting data storage unit 14 stores plant status setting data that sets combinations of areas that the plant data can take in each of at least two or more biaxial graphs and the plant status corresponding to the combinations of areas. The plant data analysis unit 15 analyzes the plant data and outputs operation support information 1 that includes two or more biaxial graphs on which evaluation plant data to be evaluated is plotted, and information indicating the plant status of the evaluation plant data obtained by referring to the plant status setting data based on the combinations of areas on the two or more biaxial graphs on which the evaluation plant data is plotted.

[0041] In this embodiment, the area that the plant data can take on in the dual axis graph is any one of a plurality of areas formed by dividing the dual axis graph by the reference values for the management items.

[0042] In this embodiment, only one plot point of the evaluation plant data is displayed on the dual-axis graph. However, past values may be displayed continuously. For example, three plot points (Reiwa 1, Reiwa 2, and Reiwa 3) may be displayed and connected by lines in order to show the time series. Each plot point may not be limited to a year, but may be seconds, minutes, hours, days, weeks, months, quarters, half years, years, or any other set interval. When there are multiple plot points, a plot point may be selected, and the plant data analysis unit 15 may analyze the possible situation at the timing of the selected plot point and display it on the dual-axis control item display unit 23.

[0043] In addition, in this embodiment, the control items on the horizontal axes of the two two-axis graphs are the same (for example, power consumption unit [air blowing]), but it is not necessarily necessary to align the control items on the horizontal axes and vertical axes of the two two-axis graphs.

[0044] <Second embodiment> Next, a plant operation support system according to a second embodiment of the present invention will be described. The second embodiment is an example in which a function of predicting future evaluation plant data is provided to the plant operation support system 10 (see FIG. 2) of the first embodiment.

[0045] 4 is a block diagram showing an example of the configuration of a control system of a plant operation support system according to a second embodiment of the present invention. A plant operation support system 10A according to this embodiment includes an evaluation plant data future analysis unit 16 in addition to the configuration of the plant operation support system 10 according to the first embodiment.

[0046] The evaluation plant data future analysis unit 16 receives information on the plant data stored in the plant data storage unit 22 and the plant status setting data stored in the plant status setting data storage unit 14, estimates a predicted value (future value) of the evaluation plant data at a specified time (or date), and sends information on the predicted value to the plant data analysis unit 15.

[0047] FIG. 5 is a diagram showing an example (1) of a two-axis graph including past and future predicted values, which are the results calculated by the evaluation plant data future analysis unit 16. FIG. 5 shows examples of the evaluation plant data, including last year's results 51, this year's (up to the present) results 52, and this year's (predicted value at the end of the fiscal year) results 53. Each of the results 51 to 53 is a calculated value based on the plant data for the corresponding period, and may be an average value, for example. Here, "up to the present" indicates, for example, the results from April at the beginning of the fiscal year to the present (for example, July).

[0048] The forecast value for the end of the fiscal year is calculated using past evaluation plant data. For example, one method is to calculate the value by assuming that the current (here, July) value will continue from August to the end of the fiscal year (March). Another method is to take seasonal cycles into account and use evaluation plant data from the same month of the previous year for August to March to calculate the forecast value for the end of the fiscal year. Another method is to use a correction coefficient to consider the difference between the results up to the current month (July) of the current fiscal year and the results up to July of the same period last year, correcting the results for the same month of the previous year to calculate the forecast value for the end of the fiscal year.

[0049] As described above, the plant operation support system 10A according to the second embodiment of the present invention includes the evaluation plant data predicted value estimating unit 16 that estimates a predicted value at a certain point in the future of the evaluation plant data plotted on a biaxial graph. The plant data analyzing unit 15 is configured to acquire the predicted value of the evaluation plant data estimated by the evaluation plant data predicted value estimating unit 16, and to plot and output evaluation plant data for at least three points in time, namely, the past, the future, and a period between the past and the present, on the biaxial graph.

[0050] According to this embodiment, future predictions based on real-time plant conditions (currently available plant data) are displayed on a dual-axis graph together with past and present evaluation plant data, allowing for quick estimation of the impact of current operations. This allows operators to quickly determine control settings that will achieve energy savings, water quality improvement, etc., on-site at the sewage treatment plant.

[0051] In the example shown in Figure 5, three points are plotted: last year as the past, this year (end of the fiscal year) as the future, and this year (up to the present) as information on the period in between. However, it is also possible to plot four or more points by adding information on the past, further future, or periods in between. Figure 6 shows an example of a two-axis graph with four or more points plotted.

[0052] FIG. 6 is a diagram showing an example (2) of a two-axis graph including past and future predicted values, which are the results calculated by the evaluation plant data future analysis unit 16 according to the second embodiment of the present invention. In the example of FIG. 6, information on the current (current month) evaluation plant data (result 61) is added to the information on the evaluation plant data (results 51 to 53) shown in FIG. 5. Specifically, as shown in FIG. 6, the current (current month) result 61 is displayed between the current year (up to the present) result 52 and the current year (predicted value at the end of the fiscal year) result 53. This display allows the influence of the current operation to be quickly estimated, and the relationship between the current operation status and its influence (or, in other words, the transition of the status) to be more accurately understood.

[0053] <Third embodiment> Next, a plant operation support system according to a third embodiment of the present invention will be described. The third embodiment is characterized by a method of dividing an area in a dual-axis graph. An example of dividing an area in a dual-axis graph according to the third embodiment of the present invention will be described below with reference to FIGS. 7 to 9. The control items on the horizontal and vertical axes of the graphs shown in each figure are the same as those of the first dual-axis graph shown in FIG.

[0054] 7 is a diagram showing an example (1) of area division in a dual-axis graph according to the third embodiment of the present invention. In FIG. 7, a high-level reference value A is used as the reference value of the first management item A set by the reference value setting unit 12 in the first embodiment (FIG. 2) and the second embodiment (FIG. 4). + and low standard value A - This divides the two-axis graph into six regions, from region I to region VI.

[0055] 8 is a diagram showing an example (2) of area division in a dual-axis graph according to the third embodiment of the present invention. In FIG. 8, a high-level reference value A is used as the reference value of the first management item A set by the reference value setting unit 12 in the first embodiment (FIG. 2) and the second embodiment (FIG. 4). + and low standard value A - and the standard value of the second control item B is the high standard value B. + and low standard value B -This divides the two-axis graph into nine regions, from region I to region IX.

[0056] 9 is a diagram showing an example (3) of area division in a dual-axis graph according to the third embodiment of the present invention. In FIG. 9, a high-level reference value A is used as the reference value of the first management item A set by the reference value setting unit 12 in the first embodiment (FIG. 2) and the second embodiment (FIG. 4). + and the reference midpoint A0 and the low reference point A - and the standard value of the second control item B is the high standard value B. + and the reference median value B0 and the low reference value B - As a result, the two-axis graph is divided into five areas, from area I to area V. In the example of Figure 9, area V is a rectangle consisting of a vertical axis and sides parallel to the vertical axis, but the coordinates (A0, B - ), (A + ,B0), (A0,B + ), (A - , B0), it may be a region surrounded by curves or a rectangle that has no vertical axis and no sides parallel to the vertical axis.

[0057] High standard value (A + , B + ) and the low standard value (A -、 B - ) can be calculated by, for example, using an index that indicates the degree of variation in plant data values, such as ±σ or ±2σ, where σ is the standard deviation from the average value. Alternatively, upper and lower limits as control standards may be used. Alternatively, general values such as standard values and standard ranges in sewerage maintenance guidelines may be used. For example, in the case of the standard activated sludge process, the ranges specified by the upper and lower limits are 1500 to 2000 mg / L for MLSS and 0.2 to 0.4 kgBOD / (kgSS·d) for BOD-SS load.

[0058] As described above, in the plant operation support system according to the third embodiment of the present invention, the reference value for at least one of the control items in the dual-axis graph is made up of two or more values.

[0059] In this embodiment, although the number of regions in the dual-axis graph increases, the concept of setting the plant status is the same as in the first embodiment. That is, the plant status shown in FIG. 3 can be set in the same way for each divided region of the dual-axis graph and for combinations of divided regions of multiple dual-axis graphs. As a result, according to the present invention, it is possible to grasp the standard state and the situations when the standard state deviates to the high side (larger side) and the low side (smaller side than the reference value) of the state, and to more accurately analyze possible situations in response to the need for taking appropriate measures. This enables more appropriate and effective measures to be taken.

[0060] In this embodiment, as in the first embodiment, only one plot point of the evaluation plant data is displayed on the dual-axis graph. However, past values may also be displayed continuously. For example, three plot points (Reiwa 1, Reiwa 2, and Reiwa 3) may be displayed and connected in order with lines to show the time series. Each plot point may not be limited to a year, but may be seconds, minutes, hours, days, weeks, months, quarters, half years, years, or any other set interval. When there are multiple plot points, a certain plot point may be selected, and the plant data analysis unit 15 may analyze possible situations at the timing of the selected plot point and display them on the dual-axis control item display unit 23.

[0061] <Fourth embodiment> Next, a plant operation support system according to a fourth embodiment of the present invention will be described. FIG. 10 is a block diagram showing an example of the configuration of a control system of a plant operation support system according to the fourth embodiment of the present invention.

[0062] The plant operation support system 10B according to this embodiment differs from the plant operation support system 10 according to the first embodiment in that, in addition to the configuration thereof, a control item conversion unit 17 is provided subsequent to the plant data analysis unit 15. That is, the plant operation support system 10B includes the control item conversion unit 17 in a portion corresponding to the previous stage of the two-axis control item display unit 23 provided in the plant 20.

[0063] The control item conversion unit 17 has a function of converting evaluation plant data having two control items (two-axis evaluation axes) plotted on a two-axis graph into evaluation plant data having one converted control item (one-axis evaluation axis) based on the analysis results of the plant data analysis unit 15. The control item conversion unit 17 creates a two-axis control item trend graph from the evaluation plant data by converting the two control items of the evaluation plant data to be analyzed into one new control item (converted control item) or by expressing the two control items on one new evaluation axis (for example, the vertical axis).

[0064] In this embodiment, the control item conversion unit 17 calculates a dual-axis control item trend index, which is a converted control item, as an additional calculation based on the analysis results of the plant data analysis unit 15 in the first to third embodiments. The control item conversion unit 17 then creates a dual-axis control item trend graph that shows the time fluctuations of the calculated dual-axis control item trend index, transmits it to the plant 20, and displays the dual-axis control item trend graph on the dual-axis control item display unit 23. As operation support information, the dual-axis control item trend graph, the dual-axis graph, and the data status may be displayed on the same screen, or may be displayed on separate screens.

[0065] Examples of dual-axis graphs and corresponding dual-axis control item trend graphs are shown in FIGS. 11, 12, and 14. FIG. 11 is a diagram showing an example of a dual-axis graph including dual-axis control items according to the fourth embodiment of the present invention. FIG. 12 is a diagram showing an example (1) of a dual-axis control item trend graph corresponding to the dual-axis graph of FIG. 11 according to the fourth embodiment of the present invention. FIG. 14 is a diagram showing an example (2) of a dual-axis control item trend graph corresponding to the dual-axis graph of FIG. 11 according to the fourth embodiment of the present invention.

[0066] Figure 11 shows the energy consumption rate [air blowing] (kwh / m 3) and the treated water TN concentration (mg / L). Figures 12 and 14 show two-axis control item trend graphs showing the conversion control items calculated using the electric energy consumption rate [air blowing] and the treated water TN concentration. The treated water TN concentration is the concentration of total nitrogen contained in the treated water.

[0067] In the example of Figure 11, the quarterly evaluation plant data from FY2013 to FY2015 at Purification Center A is plotted on a two-axis graph, with the horizontal axis representing the primary management item, which is the unit power consumption [airflow] (kWh / m 3 ), and the vertical axis shows the treated water TN concentration (mg / L) as the second control item. The evaluation plant data for the same fiscal year are connected in chronological order by lines from 1Q (symbol ●) to 4Q (arrow tip). The standard values for the first and second control items are the average values for fiscal year 2015.

[0068] In Figure 11, 12 points (the total number of line ends and bending points) of evaluation plant data are plotted, but there is a lot of overlapping, and the readability is not necessarily good. However, it is possible to grasp at a glance the trends from past to present values, as well as the future predicted values calculated by the evaluation plant data future analysis unit 16. Such a graph showing the trend (changes over time) of evaluation plant data is extremely important as information to provide to on-site operators who are required to make early decisions and take action. Therefore, a new two-axis control item trend index is created using both the reference value for the first control item and the reference value for the second control item, and this trend graph is displayed.

[0069] [Example of a dual-axis control item trend graph (1)] 12, the vertical axis shows the value obtained by multiplying (first control item) / (reference value of the first control item) by (second control item) / (reference value of the second control item). For example, (first control item) / (reference value of the first control item) means dividing the value of the first control item by the reference value of the first control item. In other words, the vertical axis is a two-axis control item trend index using new control items (converted control items) calculated by the control item conversion unit 17, and the horizontal axis represents time per quarter.

[0070] In Figure 12, as a trend, the points where the values of each control item in Figure 11 intersect with each standard value are 1.00, and the desirable direction in which the power consumption rate [air blowing] and the treated water TN concentration are mutually decreasing is expressed as a range from less than 1.00 to 0.00, making it possible to determine at a glance whether the sewage treatment situation is changing in the desirable direction. The calculations of 0.00 (good), 1.00 (standard), and over 1.00 (concerns) and displaying them on a trend graph are easy to read and are therefore preferable for operational management.

[0071] As described above, the plant operation support system 10B according to the fourth embodiment of the present invention includes a control item conversion unit 17 that converts evaluation plant data having two control items plotted on a dual-axis graph into one converted control item (dual-axis control item trend index) using a function based on the analysis results of the plant data analysis unit 15. The control item conversion unit 17 is configured to output a time variation graph (dual-axis control item trend graph) for the converted control item corresponding to the dual-axis graph. Alternatively, the control item conversion unit 17 outputs a time variation graph for the converted control item corresponding to the dual-axis graph together with the dual-axis graph.

[0072] In the example of Figure 12, region III in Figure 11 was selected as the desirable region, and as a result, the function selected was the multiplication of (first control item) / (reference value of first control item) and (second control item) / (reference value of second control item). If the desirable region is different, the function used to calculate the conversion control item will also be different.

[0073] For example, if region I in Figure 11 is selected as the desirable region, the reciprocal of the product of (first control item) / (reference value of first control item) and (second control item) / (reference value of second control item) is calculated as 0.00 (good), 1.00 (standard), or greater than 1.00 (concerns).

[0074] Furthermore, if region II in Figure 11 is selected as the desirable region, the value obtained by dividing (first control item) / (standard value of first control item) by (second control item) / (standard value of second control item) is calculated as 0.00 (good), 1.00 (standard), or greater than 1.00 (concerns).

[0075] Furthermore, if region IV in Figure 11 is selected as the desirable region, the value obtained by dividing (second control item) / (reference value of second control item) by (first control item) / (reference value of first control item) is calculated as 0.00 (good), 1.00 (standard), or greater than 1.00 (concern). The calculation result using the function selected for region IV is the reciprocal of that for region II.

[0076] In this way, the plant operation support system may be provided with a function for selecting a desirable region for representing the data status of the evaluation plant data from the dual-axis graph, and may select a function (calculation method) to be used when displaying the dual-axis control item trend graph in accordance with that selection. The correspondence between the desirable region and the function is assumed to be stored in advance in non-volatile storage 76 or the like (see FIG. 15). In other words, the function when the desirable region is "Region I" or "Region III" is a function for calculating the distance from the origin, and the function when the desirable region is "Region II" or "Region IV" is a function for calculating the slope of a line passing through the origin.

[0077] In addition, a desired area selected on the dual-axis graph or dual-axis control item trend graph ("Area III" in the cases of FIGS. 11, 12 and 14) may be displayed in the dual-axis control item display section 23.

[0078] [Modification of the fourth embodiment] Next, as a modification of the fourth embodiment, a plant operation support system having a function of selecting a region desirable for representing the data status of the evaluation plant data from a two-axis graph will be described with reference to FIG.

[0079] Fig. 13 is a block diagram showing an example of the configuration of a control system of a plant operation support system according to a modified example of the fourth embodiment of the present invention. The plant operation support system 10C shown in Fig. 13 has a configuration in which a good region selection unit 18 is added to the configuration of the plant operation support system 10B of Fig. 10. That is, in the plant operation support system 10C, the good region selection unit 18 is added between the reference value setting unit 12 and the plant status setting unit 13 shown in Fig. 10.

[0080] The good area selection unit 18 selects a desirable area for representing the data status of the evaluation plant data on a two-axis graph, based on the control items set in the control item setting unit 11 and the reference values of the target control items set in the reference value setting unit 12. At this time, the good area selection unit 18 selects a desirable area for each two-axis graph automatically, or in accordance with instructions from a system administrator input from the input device 75. When selecting a desirable area automatically, it is assumed that for each control item, it is set whether the operating status is on the side greater than or smaller than the reference value, and that this setting information is stored in advance in the non-volatile storage 76 or the like (see FIG. 15 ). The good area selection unit 18 refers to the setting information and selects a desirable area on the two-axis graph according to the combination of the first control item and the second control item.

[0081] The control item conversion unit 17 acquires a function corresponding to the desirable area on the above-mentioned two-axis graph selected by the good area selection unit 18. Next, the control item conversion unit 17 converts the evaluation plant data having the two control items that make up the above-mentioned two-axis graph into one converted control item using the function corresponding to the desirable area for the analysis results of the plant data analysis unit 15. Then, the control item conversion unit 17 creates a two-axis control item trend graph that shows the time fluctuations of the converted control item, i.e., the two-axis control item trend index, and transmits it to the plant 20.

[0082] As described above, the plant operation support system 10C according to this embodiment includes the good area selection unit 18 that selects a desirable area based on a combination of areas in which evaluation plant data is plotted on two or more biaxial graphs, among areas divided by reference values on the biaxial graph. The good area selection unit 18 is configured to select a function to be used in the control item conversion unit 17 according to the selected desirable area.

[0083] [Example of a dual-axis control item trend graph (2)] The example in Figure 14 is a two-axis control item trend graph that is displayed assuming that the control item of interest is primarily selected as the power consumption unit [air blowing] out of the control items of power consumption unit [air blowing] and treated water TN concentration. The vertical axis is the power consumption unit [air blowing] (kWh / m 3 ), and 1 / 100 of the treated water TN concentration (mg / L), with the horizontal axis representing time per quarter. In Figure 14, a two-dimensional evaluation index consisting of the unit energy consumption (air blowing) and the deviation from the average treated water TN concentration is provided as an evaluation index for each time (quarterly period). Also, in Figure 14, the reference value is the average value of the unit energy consumption (air blowing) (dashed line), which is plotted alongside the trend graph of the unit energy consumption (air blowing), and the increase (or decrease) in the treated water TN concentration from the average value is superimposed in the form of error bars at each time of the unit energy consumption (air blowing).

[0084] Normally, when two management items are superimposed on the same trend graph, readability decreases. In particular, when superimposing analysis results for comparison of analysis results from three sewage treatment plants, for example, six trend graphs (2 x 3) are required, significantly reducing readability. However, according to this embodiment, when comparing analysis results from three sewage treatment plants, only three trend graphs are required, so readability does not decrease significantly.

[0085] In Fig. 14, values in dimensional units are plotted on a trend graph, but they may be made dimensionless as in Fig. 12. Also, control items of relatively little interest are plotted in error bar format, but this is not limited to this, and for example, control items of relatively little interest may be plotted as points.

[0086] In this embodiment, the plot points are not limited to being set at fiscal years or quarters, but may be set at any set interval such as seconds, minutes, hours, days, weeks, months, half years, or years. When there are multiple plot points, a certain plot point may be selected, and the plant data analysis unit 15 may analyze possible situations at the timing of the selected plot point and display them on the dual-axis control item display unit 23.

[0087] <Hardware configuration of the plant operation support system> The functions of the plant operation support systems 10, 10A to 10C according to the above-described embodiments can be realized by software. The hardware configuration of the computer that constitutes the plant operation support systems 10, 10A to 10C according to the embodiments will be described below.

[0088] 15 is a block diagram showing an example of the hardware configuration of a computer included in the plant operation support systems according to the first to fourth embodiments of the present invention. The computer 70 shown in the figure is an example of hardware used as a computer capable of operating as the plant operation support systems 10, 10A to 10C according to each embodiment. The plant operation support systems 10, 10A to 10C realize a plant operation support method in which each functional block of the plant operation support system cooperates with each other by causing the computer 70 to execute a program.

[0089] The computer 70 includes a CPU (Central Processing Unit) 71, a ROM (Read Only Memory) 72, a RAM (Random Access Memory) 73, a display device 74, an input device 75, non-volatile storage 76, and a network interface 77, all of which are connected to a bus.

[0090] The CPU 71 reads out program code of software that realizes each function according to this embodiment from the ROM 72, loads it into the RAM 73, and executes it. Variables, parameters, etc. generated during the calculation processing of the CPU 71 are temporarily written to the RAM 73, and these variables, parameters, etc. are read out as appropriate by the CPU 71. The CPU 71 executes the program code read out from the ROM 72, thereby realizing the functions of each functional block in the plant operation support system. However, other processors such as an MPU (Micro Processing Unit) may be used instead of the CPU 71.

[0091] The display device 74 is a monitor such as a liquid crystal display, and displays a GUI screen, the results of processing performed by the CPU 71, etc. The input device 75 generates an input signal in response to an operation by the system administrator, and outputs the signal to the CPU 71. The input device 75 may be, for example, a mouse or a keyboard, and the system administrator can input information and instructions by operating the input device 75. The display device 74 and the input device 75 may be integrated into a touch panel.

[0092] The nonvolatile storage 76 may be, for example, a hard disk drive (HDD), a solid state drive (SSD), an optical disk, a magneto-optical disk, or a nonvolatile memory. For example, the nonvolatile storage 76 stores the plant status setting data storage unit 14 (see FIG. 2 and other figures), the correspondence between desirable regions on a two-axis graph and functions (fourth embodiment), and setting information indicating whether a higher or lower side of a reference value is a desirable operating status for each control item (a modified example of the fourth embodiment). The nonvolatile storage 76 may also store a program for running the computer 70, in addition to an operating system (OS) and various parameters. The ROM 72 and the nonvolatile storage 76 store programs, data, and the like required for the CPU 71 to operate, and are used as examples of computer-readable, non-transitory storage media for storing programs executed by the computer 70.

[0093] The network interface 77 may be, for example, a network interface card (NIC), and various data may be transmitted and received between devices via a local area network (LAN) connected to a terminal of the NIC, a dedicated line, etc. For example, the network interface 77 constitutes an interface through which the plant operation support system transmits and receives plant data to and from the plant 20, and an interface through which the plant operation support system transmits display data (operation support information) to the plant 20.

[0094] It should be noted that if the plant operation support system is configured as a server and, for example, a web application server provides the plant operation support function to the plant 20, the computer 70 does not need to include the display device 74 and the input device 75. In this case, information such as management items and reference values for the plant operation support system is input and output via a PC or tablet terminal used by a system administrator.

[0095] The hardware of the monitoring and control system of the plant 20 and the external device connected to the plant operation support system can also be configured using the computer 70 in Fig. 15. In the case of the monitoring and control system of the plant 20, the CPU 71 of the computer 70 provided in the monitoring and control system executes program code read from a ROM 72, thereby realizing monitoring and control functions such as plant data acquisition. For example, the plant data storage unit 22 can be configured with a non-volatile storage 76, and the two-axis control item display unit 23 can be configured with a display device 74.

[0096] Furthermore, a CPU 71 of a computer 70 included in the external device executes program code read from a ROM 72, thereby realizing connection with the plant operation support system 10 via a network and various setting and input functions including plant status setting. Furthermore, a system administrator can use a display device 74 and an input device 75 when executing setting and input functions. Communication between the external device and the plant operation support system can be realized by a network interface.

[0097] <Modification> It should be noted that the present invention is not limited to the above-described embodiments, and various other applications and modifications are possible as long as they do not deviate from the gist of the present invention as set forth in the claims.

[0098] In the first to third embodiments, the X-axis of the first dual-axis graph and the second dual-axis graph is the first management item A in common, but this does not necessarily have to be the case. Furthermore, the number of dual-axis graphs is not limited to two, and any required number of dual-axis graphs may be used. Furthermore, the number of management items is not limited to three, and any required number of management items may be used. For example, the management items of the first dual-axis graph may be A and B, the management items of the second management graph may be C and D, the management items of the third dual-axis graph may be C and E, and the management items of the fourth dual-axis graph may be F and G, with G being a function of A.

[0099] In addition, possible management items for the first to fourth embodiments include inflow load (inflow flow rate x raw water quality), dissolved oxygen concentration (DO), circulation flow rate, return flow rate, circulation pump power consumption, return pump power consumption, blower power consumption, circulation pump power consumption unit, return pump power consumption unit, blower power consumption unit, MLSS, treated water SS concentration, treated water total nitrogen (TN) concentration, treated water ammonia concentration, treated water total phosphorus (TP) concentration, raw water SS concentration, raw water TN concentration, raw water ammonia concentration, raw water TP concentration, SV30, SVI, HRT (hydraulic retention time), SRT (sludge retention time), AOR (amount of oxygen required), BOD volume load, BOD-SS load, and water surface load.

[0100] In addition, in each of the above-described embodiments, the power consumption intensity is used, but it may also be the power consumption intensity, power consumption, power consumption, CO2 emission equivalent, CO2 emission equivalent intensity, etc. Furthermore, the management items of one two-axis graph (for example, FIG. 1, FIG. 11) are the power consumption intensity and treated water quality (for example, treated water BOD, treated water TN concentration), but are not limited to this example.

[0101] The scope of plant data analysis can be the entire sewage treatment plant (treatment facility) or just a portion of the plant. For example, in a sewage treatment plant, the same equipment operates in parallel, so each equipment line can be analyzed and evaluated separately. The evaluation results for each line can also be displayed together so that the operator can compare them.

[0102] Furthermore, in each of the above-described embodiments, an example has been described in which a sewage treatment plant is applied as a support target of the plant operation support system. However, the application is not limited to sewage treatment plants, and the system may be applied to other plants or facilities. For example, the system may be applied to water purification plants, stormwater pumping stations, sludge treatment plants, etc. Furthermore, as a two-axis graph, there are various combinations that can be used for situation analysis, such as raw water quality vs. dissolved oxygen concentration (DO), aeration air volume vs. power consumption, DO vs. air magnification, influent water quality vs. DO, MLSS vs. SVI (Sludge volume index), and BOD vs. SS load vs. raw water BOD.

[0103] In addition, in the above-described embodiments, examples of plant status settings set by the plant status setting unit 13 are shown, and FIG. 1 illustrates an example of displaying the evaluation plant data on the display screen. Here, the results for each time of the combination of the area where the evaluation plant data is plotted on the first two-axis graph and the area where the evaluation plant data is plotted on the second two-axis graph can be stored in the plant data storage unit 22. That is, a database can be constructed that stores combinations of two-axis graph areas for each time. For example, countermeasure status data (countermeasure results), such as DO setpoint changes, measurement sensor cleaning, and system shutdowns, stored in the plant data storage unit 22 together with the plant data, can also be used as a search function to extract, for example, the time and countermeasure status data when the same area combination occurred in the past. That is, it becomes possible to refer to other dates and times when the same situation occurred in the target plant, or to predict sensor values assuming the same situation occurs in the future.

[0104] In this embodiment, the evaluation plant data from the plant data storage unit 22 has not been particularly limited, but a filtering function may be added to remove, for example, data from rainy weather or some series that are "shut down," "under construction," "water temperature above 20 degrees," or other events or conditions from the evaluation plant data. This allows, for example, if rainy weather data is excluded, only changes in trends on sunny days can be confirmed, improving the accuracy of situation analysis.

[0105] The first to fourth embodiments described above are intended to provide a detailed and specific description of the configuration of the plant operation support system in order to clearly explain the present invention, and are not necessarily limited to systems that include all of the components described. It is also possible to replace part of the configuration of one embodiment with a component of another embodiment. It is also possible to add a component of another embodiment to the configuration of one embodiment. It is also possible to add, replace, or delete other components from part of the configuration of each embodiment.

[0106] Furthermore, the above-described configurations, functions, processing units, etc. may be partially or entirely realized in hardware, for example, by designing them as integrated circuits, etc. As the hardware, a broad processor device such as an FPGA (Field Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit) may be used.

[0107] Furthermore, each component of the plant operation support system according to each of the above-described embodiments may be implemented in any hardware as long as the respective hardware can transmit and receive information to and from each other via a network. Furthermore, the processing performed by a certain processing unit may be realized by a single piece of hardware, or may be realized by distributed processing using multiple pieces of hardware. [Explanation of symbols]

[0108] 1...operation support information, 10...plant operation support system, 10A...plant operation support system, 10B...plant operation support system, 10C...plant operation support system, 11...control item setting section, 12...reference value setting section, 13...plant status setting section, 14...plant status setting data storage section, 14D...plant status setting data, 15...plant data analysis section, 16...evaluation plant data future analysis section, 17...control item conversion section, 18...good area selection section

Claims

1. A plant operation support system that analyzes plant data obtained from a plant and provides a two-axis graph that determines the analysis results, a plant status setting data storage unit that stores plant status setting data that sets combinations of areas that the plant data can take in each of at least two or more of the two-axis graphs and plant statuses corresponding to the combinations of areas; a plant data analysis unit that analyzes the plant data and outputs two or more biaxial graphs on which evaluation plant data to be evaluated is plotted, and information indicating the plant status of the evaluation plant data obtained by referring to the plant status setting data based on a combination of areas on the two or more biaxial graphs on which the evaluation plant data is plotted, an area that the plant data can take on in the two-axis graph is any one of a plurality of areas formed by dividing the two-axis graph by a reference value for the management item, a control item conversion unit that converts the evaluation plant data having two control items plotted on the two-axis graph into one converted control item using a function based on the analysis result of the plant data analysis unit, the management item conversion unit outputs a time variation graph of the converted management item corresponding to the two-axis graph; a good region selection unit that selects a desirable region based on a combination of regions in which the evaluation plant data is plotted on two or more of the two-axis graphs, from among the regions divided by the reference values of the two-axis graph, The good area selection unit selects the function to be used in the control item conversion unit according to the selected desirable area. Plant operation support system.

2. an evaluation plant data predicted value estimating unit that estimates a predicted value of the evaluation plant data plotted on the two-axis graph at a certain point in time in the future, The plant data analysis unit acquires the predicted value of the evaluation plant data estimated by the evaluation plant data predicted value estimation unit, and plots the evaluation plant data of at least three points in the past, future, and between the past and the present on the two-axis graph and outputs the plotted value. The plant operation support system according to claim 1 .

3. The reference value for at least one of the control items of the two-axis graph is composed of two or more values. The plant operation support system according to claim 1 or 2.

4. The management item conversion unit outputs, together with the two-axis graph, a time variation graph for the converted management item corresponding to the two-axis graph. The plant operation support system according to claim 1 .

5. The control items of one of the two-axis graphs are the power consumption intensity and the treated water quality. The plant operation support system according to claim 1 .

6. A plant operation support method using a plant operation support system that analyzes plant data obtained from a plant and provides a two-axis graph that determines the analysis results, comprising: a process of storing, in a storage unit, plant status setting data that sets combinations of areas that the plant data can take on in each of at least two or more of the two-axis graphs and plant statuses corresponding to the combinations of areas, by the plant operation support system; and a process of analyzing the plant data by the plant operation support system, and outputting two or more of the two-axis graphs on which evaluation plant data to be evaluated is plotted, and information indicating the plant status of the evaluation plant data obtained by referring to the plant status setting data based on a combination of areas on the two or more two-axis graphs on which the evaluation plant data is plotted, an area that the plant data can take on in the two-axis graph is any one of a plurality of areas formed by dividing the two-axis graph by a reference value for the management item, a process of converting the evaluation plant data having two control items plotted on the two-axis graph into one conversion control item using a function based on the analysis result of the plant data, wherein in the process of converting into one conversion control item, a time variation graph for the conversion control item corresponding to the two-axis graph is output; and selecting a desirable area based on a combination of areas in which the evaluation plant data is plotted on two or more of the two-axis graphs from among the areas divided by the reference value of the two-axis graph, wherein the function used in the conversion into the one conversion control item is selected in accordance with the selected desirable area in the process of selecting the desirable area. Plant operation support method.

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