JP7625004B2 - Display device, display method, control device, and computer program - Google Patents

Description

The present invention relates to a display device, a display method, a control device and a computer program.

Traditionally, sensors have been installed at the target of monitoring, such as a plant, and the operating status of the target equipment has been monitored based on the data acquired by the sensors.

Patent Document 1 describes an online monitoring device that makes it possible to reduce the labor required for screen operation to check the status of a monitored object. This online monitoring device is equipped with an image display information generation means that determines which screen to display from among multiple screen candidates.

JP 2018-106432 A

If an abnormality occurs in such a monitored object, an alarm is issued. To assess the appropriateness of the alarm, operators view graphs generated based on data obtained from the sensors.

However, the online monitoring device described in Patent Document 1 "automatically selects" and displays the necessary information on the screen so that "even an inexperienced operator can handle the situation in the same way as an experienced operator" ("Problem to be solved by the invention"), so when there are a large number of graphs to be displayed, it is unavoidable that checking the graphs takes a great deal of time. For example, even an experienced operator must view the same graphs as an inexperienced operator.

To reduce the number of graphs that need to be displayed, it may be possible to set in advance representative graphs to be displayed for each warning. However, if the graph to be displayed for each warning is fixed, graphs that should actually be checked may be missed. For example, an inexperienced operator may overlook a graph that should be checked.

Therefore, the present invention aims to provide a display device, a display method, a control device, and a computer program that enable efficient checking of the graph to be checked.

The present disclosure provides a display device configured to display a selection of graphs to be viewed when a warning is issued based on a history of graphs viewed when a warning has previously occurred, and to display the selected graph.

The options may be displayed along with a description of at least one graph associated with the alert.

The options may be displayed based on the number of times the graph was viewed when a warning occurred in the past.

Furthermore, the options may be displayed based on a learning model generated using past warnings and the history of graphs viewed at the time of those warnings as training data.

The present disclosure provides a display method including the steps of displaying options for graphs to be viewed when a warning occurs based on a history of graphs viewed when a warning has occurred in the past, and displaying the selected graph.

The present disclosure also provides a control device having means for displaying on a display device a selection of graphs to be viewed when a warning occurs based on a history of graphs viewed when a warning has occurred in the past, and means for displaying on the display device the selected graph.

In addition, the present disclosure provides a computer program for causing a computer to execute the steps of: displaying on a display device a selection of graphs to be viewed when a warning occurs based on the history of graphs viewed when a warning occurred in the past; and displaying the selected graph on the display device.

The computer program is executed by a computer having a processor, such as the control device shown in this embodiment. The computer program may be recorded on a recording medium in a non-transitory form, such as a non-volatile semiconductor memory.

1 is a schematic diagram showing an overall configuration of a plant according to an embodiment of the present invention. FIG. 2 is a functional block diagram of the driving assistance system. 4 is an example of information stored in an alarm setting DB. 13 is an example of information stored in a graph setting DB. 13 is an example of information stored in a graph browsing history DB. 11 is an example of guide information. 1 is an example of a graph recommendation list. 1 is an example of a display screen of a display device. 1 is an example of a physical configuration of a driving assistance system. 13 is an example of a flowchart of a display method.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described with reference to the drawings. The following embodiments are merely examples for explaining the present invention, and are not intended to limit the present invention to the embodiments.
The monitoring target to which the present invention is applied includes plants. The plants include, for example, power plants including boilers, incineration plants, chemical plants, wastewater treatment plants, and the like, from which process data can be obtained. In addition to the example of process data in power plants described in the following embodiment, the process data in waste incineration plants includes, for example, the amount and temperature of air fed into the incinerator, the gas temperature and composition factor at the furnace outlet, and measurement data such as the temperature, pressure, flow rate, and combustion state of each part measured by a sensor or the like. The process data in chemical plants includes, for example, the temperature difference between processes or between two or more thermocouples, the operating pressure, product flow parameters (velocity, density, etc.), the flow rate of cooling water, output measurements, valve sensor data, and the like. The process data in wastewater treatment plants includes, for example, the amount of raw water flowing in and out of the tank, the water level, the treated water quality, and the operation amount of equipment operation such as various pumps, which are output from each sensor and each watt-hour meter.

[Plant description]
1 is a schematic diagram showing the overall configuration of a plant 1, which is an example of a monitoring target to which the present invention is applied. The plant 1 according to this embodiment is a power generation plant equipped with a circulating fluidized bed boiler (circulating fluidized bed type) that generates steam by burning fuel while circulating a circulating material such as silica sand that flows at high temperature. As fuel for the plant 1, in addition to fossil fuels such as coal, non-fossil fuels (wood biomass, waste tires, waste plastics, sludge, etc.) can be used. The steam generated in the plant 1 is used to drive a turbine 100.

The plant 1 is configured to burn fuel in the furnace 2, separate the circulating material from the exhaust gas by a cyclone 3 that functions as a solid-gas separator, and return the separated circulating material to the furnace 2 for circulation. The separated circulating material is returned to the bottom of the furnace 2 via a circulating material recovery pipe 4 connected below the cyclone 3. The bottom of the circulating material recovery pipe 4 is connected to the bottom of the furnace 2 via a loop seal section 4a with a narrowed flow path. This leaves a predetermined amount of circulating material stored in the bottom of the circulating material recovery pipe 4. The exhaust gas from which the circulating material has been removed by the cyclone 3 is supplied to the rear flue 5 via the exhaust gas flow path 3a.

The boiler comprises a furnace 2 for burning fuel, and a heat exchanger for generating steam and the like using heat obtained by combustion. A fuel supply port 2a for supplying fuel is provided in the middle of the furnace 2, and a gas outlet 2b for discharging combustion gas is provided in the upper part of the furnace 2. Fuel supplied to the furnace 2 from a fuel supply device (not shown) is supplied to the inside of the furnace 2 via the fuel supply port 2a. In addition, a furnace wall tube 6 for heating boiler feed water is provided on the furnace wall of the furnace 2. The boiler feed water flowing through the furnace wall tube 6 is heated by combustion in the furnace 2.

In the furnace 2, the solids containing the fuel supplied from the fuel supply port 2a are fluidized by the combustion/fluidization air introduced from the lower air supply line 2c, and the fuel burns at about 800 to 900°C, for example, while flowing. The combustion gas generated in the furnace 2 is introduced into the cyclone 3, accompanied by the circulating material. The cyclone 3 separates the circulating material from the gas by centrifugal separation, and returns the separated circulating material to the furnace 2 via the circulating material recovery pipe 4, while sending the combustion gas from which the circulating material has been removed through the exhaust gas flow path 3a to the rear flue 5.

In the furnace 2, a portion of the circulating material, called the in-furnace bed material, remains at the bottom. This bed material may contain bed material with coarse particle size that is unsuitable for circulating flow and exhaust combustion impurities, and these bed materials that are unsuitable for circulating flow may cause poor flow. Therefore, in order to suppress poor flow, the in-furnace bed material is continuously or intermittently discharged to the outside from the outlet 2d at the bottom of the furnace 2. After removing unsuitable materials such as metals and coarse particle size from the discharged bed material on a circulation line not shown, the discharged bed material is either supplied again to the furnace 2 or discarded as is. The circulating material of the furnace 2 circulates in a circulation system consisting of the furnace 2, the cyclone 3, and the circulating material recovery pipe 4.

The rear flue 5 has a flow path for flowing the gas discharged from the cyclone 3 to the rear stage. The rear flue 5 has a superheater 10 that generates superheated steam and an economizer 12 that preheats the boiler feed water as an exhaust heat recovery section that recovers heat from the exhaust gas. The exhaust gas flowing through the rear flue 5 is cooled by heat exchange with the steam and boiler feed water flowing through the superheater 10 and the economizer 12. In addition, the rear flue 5 has a steam drum 8 in which the boiler feed water that has passed through the economizer 12 is stored, and the steam drum 8 is also connected to the furnace wall tube 6.

The economizer 12 transfers heat from the exhaust gas to the boiler feed water to preheat the boiler feed water. The economizer 12 is connected to the pump 7 by a pipe 21, and to the steam drum 8 by a pipe 22. The boiler feed water supplied from the pump 7 via the pipe 21 to the economizer 12 and preheated by the economizer 12 is supplied to the steam drum 8 via the pipe 22.

A downcomer pipe 8a and a furnace wall pipe 6 are connected to the steam drum 8. The boiler feed water in the steam drum 8 flows down the downcomer pipe 8a, is introduced into the furnace wall pipe 6 at the lower side of the furnace 2, and flows toward the steam drum 8. The boiler feed water in the furnace wall pipe 6 is heated by the combustion heat generated in the furnace 2, and evaporates in the steam drum 8 to become steam.

A saturated steam pipe 8b that discharges the steam inside is connected to the steam drum 8. The saturated steam pipe 8b connects the steam drum 8 to the superheater 10. The steam inside the steam drum 8 is supplied to the superheater 10 via the saturated steam pipe 8b. The superheater 10 uses the heat of the exhaust gas to superheat the steam to generate superheated steam. The superheated steam passes through pipe 10a and is supplied to a turbine 100 outside the plant 1 and used for power generation.

The pressure and temperature of the steam discharged from the turbine 100 are lower than the pressure and temperature of the steam discharged from the superheater 10. Although not particularly limited, the pressure of the steam supplied to the turbine 100 is approximately 10-17 MPa, and the temperature is approximately 530-570°C. The pressure of the steam discharged from the turbine 100 is approximately 3-5 MPa, and the temperature is approximately 350-400°C.

A condenser 102 is provided downstream of the turbine 100. The steam discharged from the turbine 100 is supplied to the condenser 102, where it is condensed and returned to saturated water, and then supplied to the pump 7. A generator is connected to the turbine 100, which converts the kinetic energy obtained by the rotation of the turbine 100 into electrical energy.

The pump 7a supplies makeup water to maintain a constant water level in the condenser 102. Figure 1 shows the makeup water flow rate u1 (an example of "process data") supplied by the pump 7a.

The process data handled in this embodiment may be any data related to the plant 1, but may be, for example, data obtained by measuring the state of the plant 1 with a sensor (an example of "process data"), and more specifically, may include measured values of the temperature, pressure, flow rate, and the like of the plant 1. FIG. 1 shows the boiler feedwater flow rate u2 (an example of "process data") supplied from the pump 7 to the economizer 12. Furthermore, FIG. 1 shows the boiler outlet steam flow rate u3 (an example of "process data") supplied from the superheater 10 to the turbine 100, and the saturated steam flow rate u4 (an example of "process data") supplied from the steam drum 8 to the superheater 10. The makeup water flow rate u1 may be controlled to follow the saturated steam flow rate u4. The boiler feedwater flow rate u2 may be controlled to be adjusted while monitoring both the boiler outlet steam flow rate u3 (or the superheated steam flow rate) and the liquid level of the steam drum 8.

If a hole occurs in the pipe system that constitutes the plant 1, the makeup water flow rate u1 increases, and the flow rate difference between the boiler feedwater flow rate u2 and the boiler outlet steam flow rate u3 increases. The DCS (Distributed Control System, FIG. 2) 20 receives process data of the plant 1, such as the makeup water flow rate u1, the boiler feedwater flow rate u2, the boiler outlet steam flow rate u3, and the saturated steam flow rate u4, from the plant 1, monitors the operating status of the plant 1, and monitors whether any abnormality has occurred in the plant 1. As will be described later, the monitoring device 40 evaluates the process data based on alarm judgment logic set for each type of abnormality, and when it is determined that an abnormality has occurred, it causes the display device 40 to issue an alarm.

Although the makeup water flow rate u1, the boiler feed water flow rate u2, the boiler outlet steam flow rate u3, and the saturated steam flow rate u4 are exemplified as process data, the process data related to the plant 1 may be other data. The process data related to the plant 1 may be other data such as temperature and pressure, or data calculated based on multiple process data, or may be uncalculated data obtained from a sensor or the like.

Figure 2 is a functional block diagram of the plant 1, DCS 20 and operation assistance system 30 in this embodiment.

DCS 20 is a distributed control system for controlling plant 1. DCS 20 acquires process data from sensors and the like installed in plant 1, and supplies control signals to plant 1 for controlling plant 1 based on the process data.

The operation support system 30 includes an edge/cloud computing unit 32 that acquires process data from the DCS 20, a monitoring device 40 that acquires the process data from the edge/cloud computing unit 32 and monitors the plant 1 based on the process data, and a display device 50 that displays the operating status of the plant 1 for the operator. The monitoring device 40 (an example of a "control device") also functions as a control device that controls the display device 50. Specifically, the monitoring device 40 acquires the process data and determines whether or not there is an abnormality based on the process data, and if it is determined that an abnormality has occurred, causes the display device 50 to issue an alarm (an example of a "warning"). When issuing an alarm, the monitoring device 40 acquires information to be displayed when an alarm is issued, such as guide information (described later), from a database described later, and displays the information on the display screen of the display device 50.

The edge/cloud computing unit 32 includes multiple edge servers distributed on the periphery of the network, and a cloud data server that collects process data from the multiple edge servers and provides it to the monitoring device 40. By including the edge/cloud computing unit 32, it is possible to preferably collect process data from a large-scale monitoring device or multiple distributed monitoring devices. However, the driving assistance system 30 does not necessarily have to include the edge/cloud computing unit 32. In that case, the driving assistance system 30 acquires the process data from the DCS 20 via the network.

The monitoring device 40 includes an alarm display control unit 42 and a storage unit 44 .
The alarm display control unit 42 includes a process data acquisition unit 42A that acquires process data from the edge/cloud computing unit 32, an alarm determination unit 42B that determines whether or not an alarm needs to be issued based on the process data acquired by the process data acquisition unit 42A, a graph recommendation order calculation unit 42C that generates a graph recommendation list (an example of a “graph selection option”) based on a history of graphs that were viewed when an alarm occurred in the past when the alarm determination unit 42B determined that an alarm needs to be issued, an alarm confirmation display unit 42D that displays information related to the alarm on the display device 50 when the alarm determination unit 42B determines that an alarm needs to be issued, and a graph display result collection unit 42E that collects, as graph display result, the fact that a graph selected by the operator is displayed on the display screen of the display device 50.

The memory unit 44 of the monitoring device includes an alarm setting DB 44A, an alarm occurrence history DB 44B, a graph setting DB 44C, a graph viewing history DB 44D, and a guide information DB 44E. First, we will explain each database of the memory unit 44.

The alarm setting DB 44A stores alarm determination logic (determination criteria) for determining whether an alarm indicating an abnormality or the like of the plant 1 has occurred based on the process data. FIG. 3A shows an example of information stored in the alarm setting DB 44A. In the figure, each row shows the identification information (ID) of the alarm, the classification information of the alarm ("major classification", "medium classification", and "minor classification"), and the evaluation item name related to the alarm. The alarm determination logic is recorded in association with the evaluation item name. The alarm determination logic may be based on process data acquired from a single sensor, or may be based on process data acquired from multiple types of sensors according to a predetermined algorithm (including those based on a predetermined trained model generated by machine learning, and those based on a mathematical formula or mathematical model derived by performing multivariate analysis or the like on process data from multiple sensors).

The alarm occurrence history DB44B stores information about alarms that have been issued in the past. Specifically, information related to alarms that have been issued in the past and the date and time of the occurrence of the alarms are recorded.

Graph setting DB44C stores information about graphs that can be generated based on process data. FIG. 3B shows an example of information stored in graph setting DB44C. In the figure, a registration name and a graph type are shown for each row. The registration name (an example of a "graph description") corresponds to information that describes the graph, since it is determined to describe the evaluation items displayed in the graph. In addition, the graph setting DB44C also records the signal names of the process data that are the basis of the evaluation items. For example, when an operator double-clicks (selects) a graph, the signal name of the corresponding process data is displayed. Note that an operator can access the graph setting DB44C and edit the contents of the graphs recorded in the database. It is also possible to register new graphs in this database.

Graph viewing history DB44D stores history information of graphs viewed when past alarms were issued. FIG. 3C shows an example of information stored in graph viewing history DB44D. In this embodiment, graph viewing history DB44D stores the number of times a graph was displayed when past alarms were issued as a score value for each graph (listed as "Chart 1", etc.). As an example, the figure shows that, when an alarm related to "agglomeration detection" was issued, it is recorded that a graph named "Chart 1" (actually the registered name of the graph in FIG. 3B) was displayed 30 times, a graph named "Chart 2" was displayed 21 times, and a graph named "Chart 3" was displayed 5 times.

Guide information DB44E stores information to guide users on how to respond when an alarm is issued. For example, guide information DB44E records for each alarm a sentence titled "1. Monitoring points (how to read the graph)" that explains how to grasp the event from the graph, and a sentence titled "2. How to respond" that explains how to optimize the state of the process data. The method for optimizing the state of the process data is a method for optimizing the state of the process data in question, where the process data exceeds a threshold, to within the threshold.

Figure 3D shows an example of guide information displayed on the display screen of the display device 50 when the alarm that has been issued is "Circulation system temperature difference 1." In "1. Monitoring points (how to read the graph)," the definition of the furnace temperature difference and the calculation formula are described. Such an explanation allows the operator to confirm how to capture the event from the graph, making it easier to understand what event has occurred. In "2. How to respond," items that the operator should check depending on the magnitude of the furnace temperature difference are listed. Such an explanation makes it possible to confirm how to optimize the state of the process data. The guide information may include images, legend graphs, etc. in addition to text information and formulas. Furthermore, it may be equipped with a function to display the time when the same alarm was issued in the past.

Next, each functional block of the alarm display control unit 42 will be described.
The process data acquisition unit 42A acquires process data from the edge/cloud computing unit 32.

The alarm determination unit 42B determines whether an abnormality has occurred in the plant 1 based on the process data, and when it determines that an abnormality has occurred, causes the display device 50 to issue an alarm. Specifically, the alarm determination unit 42B reads out the alarm determination logic (determination criteria) recorded in the alarm setting DB 44A, and evaluates the process data according to this alarm determination logic. For example, the alarm determination unit 42B evaluates predetermined process data based on the alarm determination logic, and determines whether an abnormality that may occur in the plant 1, such as a blowout (a state in which metal materials such as tubes and pipes that constitute a boiler are damaged and ruptured, causing internal steam to leak to the outside, such as a boiler tube leak. This includes a state in which a blowout is likely to occur in the future. The same applies below) has occurred.

Furthermore, when the alarm determination unit 42B determines that an abnormality has occurred, it records information about the alarm (specifically, information about the name of the alarm and the date and time of occurrence, etc.) in the alarm occurrence history DB 44B. It also reads information about past alarms from the alarm occurrence history DB 44B and provides this information to the alarm confirmation display unit 42D together with information about the alarm to be issued.

The graph recommendation order calculation unit 42C generates a graph recommendation list based on the history of graphs viewed when an alarm was previously issued, and provides it to the alarm confirmation display unit 42D. Specifically, when the alarm determination unit 42B determines that an alarm needs to be issued, the graph recommendation order calculation unit 42C accesses the graph viewing history DB 44D to obtain multiple graphs associated with the alarm and the score value of each graph. The graph recommendation order calculation unit 42C also accesses the graph setting DB 44C to obtain the signal names of the process data corresponding to each graph. Then, the graph recommendation order calculation unit 42C generates the graph recommendation list.

An example of a graph recommendation list is shown in Figure 4. As shown in the figure, when the alarm is "Circulation system temperature difference 1", the graph name is "Circulation system temperature difference 1 (for detecting coarse grains) - by condition" and the corresponding process data has "Boiler load (heat output base) (%)" on the X-axis and "In-furnace temperature difference (top of furnace - bottom of furnace)" on the Y-axis, and has a score value of 90. The graph recommendation order calculation unit 42C provides the generated graph recommendation list to the alarm confirmation display unit 42D.

When the alarm determination unit 42B determines that an alarm needs to be issued, the alarm confirmation display unit 42D displays information for the operator to confirm the alarm on the display device 50. Figure 5 shows an example of information displayed on the display screen of the display device 50 when an alarm is issued. Information on past and current alarms obtained from the alarm determination unit 42B is displayed in list form in a first area AR1 of the display screen.

Furthermore, when the operator double-clicks (selects) a specific alarm AL1, the alarm confirmation display unit 42D obtains a graph recommendation list GL1 corresponding to that alarm AL1 from the graph recommendation order calculation unit 42C. The graph recommendation list GL1 is displayed in a second area AR2 of the same display screen. Furthermore, the alarm confirmation display unit 42D may access the guide information DB 44E, read out guide information corresponding to that alarm, and display it in a different area of the display screen.

Furthermore, when the operator double-clicks (selects) a specific graph GR1 displayed in the graph recommendation list GL1, the graph setting DB 44C is accessed, the process data is acquired, and the graph is displayed. In the third area AR3 of the same display screen, the graph selected by the operator (for example, "Circulation System Temperature Difference 1") is displayed.

If the operator double-clicks (selects) another graph displayed in the graph recommendation list GL1, a different graph selected by the operator (e.g., "Circulation System Pressure Difference 1") is displayed in the third area AR3 of the same display screen. Note that the third area AR3 may be configured to display multiple graphs simultaneously.

Each time an operator selects a graph displayed in the graph recommendation list GL1, the graph display performance collection unit 42E (an example of a "recording means") records in the graph viewing history DB 44D information that the graph was viewed when the alarm was issued. In this embodiment, the number of times the graph was viewed is counted up in association with the alarm.

Figure 6 is a diagram showing the physical configuration for realizing the driving assistance system 30 according to this embodiment. However, since the edge/cloud computing unit 32 can adopt a known physical configuration, a description thereof will be omitted, and the following describes the physical configuration of the driving assistance system 30 excluding the edge/cloud computing unit 32.

The driving assistance system 30 has a CPU (Central Processing Unit) 30A equivalent to a calculation unit, a RAM (Random Access Memory) 30B and a ROM (Read only Memory) 30C equivalent to a storage unit, a communication unit 30D, an input unit 30E, and a display unit 30F. These components are connected to each other via a bus so that data can be transmitted and received. In this example, the driving assistance system 30 is configured by one computer, but the driving assistance system 30 may be configured by multiple computers. For example, the display unit 30F may be configured by multiple displays. In addition, the configuration shown in FIG. 6 is only an example, and some of these components may not be included. Furthermore, some of the components may be provided in a remote location. For example, a part of the ROM 30C may be provided in a remote location and configured to be able to communicate via a communication network.

CPU 30A is an arithmetic unit that performs control processing and arithmetic processing, etc., included in this disclosure by executing computer programs, etc., recorded in ROM 30C, etc. CPU 30A is equipped with a processor. CPU 30A receives various information (including process data) from RAM 30B, ROM 30C, communication unit 30D, input unit 30E, etc., and displays the arithmetic processing results, etc. on display unit 30F or stores them in RAM 30B or ROM 30C.

RAM 30B functions as a cache memory in the memory section and may be composed of volatile semiconductor memory elements such as SRAM and DRAM.

ROM 30C functions as the main memory of the storage unit, and may be configured, for example, as a non-volatile semiconductor memory element such as a flash memory that allows information to be electrically rewritten, or a HDD that allows information to be magnetically rewritten. ROM 30C may store, for example, computer programs and data for executing processes including the various controls and arithmetic processes shown in this disclosure.

The communication unit 30D is an interface for connecting the driving assistance system 30 to other devices such as the DCS 20. The communication unit 30D may be connected to a communication network such as the Internet.

The input unit 30E accepts data input and graph selection from the operator, and may include, for example, a keyboard and a touch panel.

The display unit 30F visually displays the results of calculations performed by the CPU 30A and may be composed of, for example, an LCD (Liquid Crystal Display).

In the physical configuration described above, it is possible to realize each function constituting the alarm display control unit 42 of the monitoring device 40 mainly by the CPU 30A executing a computer program, it is possible to realize each database constituting the memory unit 44 mainly from the ROM 30C, and it is possible to realize the display device 50 mainly from the display unit 30F.

[Display method]
Hereinafter, a method of displaying information for allowing an operator to trace the validity of an alarm issued using the operation support system 30 will be described. Fig. 7 is a flow chart including such a display method.

First, the alarm determination unit 42B evaluates the process data acquired by the process data acquisition unit 42A based on the alarm determination logic to determine whether an abnormality has occurred in the plant 1. When the alarm determination unit 42B determines that a predetermined abnormality has occurred in the plant 1, it issues an alarm (step S71). Specifically, the monitoring device 40 displays information on past and current alarms acquired from the alarm determination unit 42B in a list format in the first area AR1 of the display screen. The monitoring device 40 may also display a graph recommendation list corresponding to the latest alarm in the second area AR2 of the display screen, display multiple graphs with the highest score value in the graph recommendation list in the third area AR3, and display guide information corresponding to the latest alarm in another area.

When an alarm is issued, the operator begins the task of confirming the validity of the alarm. Specifically, the operator selects the graph to be confirmed while examining the graph names, signal names, and their score values (Figure 4) listed in the graph recommendation list (step S72). If the operator selects another alarm displayed in the first area AR1, the monitoring device 40 displays the graph recommendation list corresponding to that alarm in the second area AR2 of the display screen, a graph corresponding to the third area AR3, and guide information in another area.

Here, the graph recommendation list includes a score value. This allows the operator to know which graphs have a high priority for checking. Furthermore, the score value is not preset, but is information that reflects the fact that the graphs were actually viewed by the operator while the plant 1 was in operation. The graph recommendation list according to this embodiment may be different for different plants, even for the same alarm. This allows the operator to know which graphs have a high priority for checking, based on the perspective specific to the model installed in the plant 1.

Furthermore, since the graph recommendation list reflects the fact that the operator actually viewed the graphs while the plant 1 was in operation, the list may differ for the same alarm even for the same plant depending on changes over time, etc. Therefore, the operator can grasp the graphs that should be checked with a high priority based on a perspective that takes into account changes over time, etc., of the plant 1.

When the operator selects a graph from the graph options displayed as the graph recommendation list, the monitoring device 40 displays the selected graph in the third area AR2 of the display screen (step S73).

The operator can flexibly select graphs in an order that is deemed appropriate depending on the situation. For example, it is possible to first select and display a graph with a low score value, and then select and display a graph with a high score value. In this way, it becomes possible to view a graph with a high score value based on the viewing results of a graph with a low score value.

Each time an operator selects a graph displayed in the graph recommendation list, the monitoring device 40 records information in the graph viewing history DB 44D that the graph was viewed when the alarm was issued (step S74).

The operator displays all the graphs that need to be checked to determine the validity of the alarm, and then takes action in accordance with the guide information.

As described above, the display device and display method shown in this embodiment make it possible to efficiently check the graph that needs to be checked.

[Modification]
The present invention can be modified in various ways without departing from the gist of the invention. For example, the similarity between graphs may be learned by a known collaborative filtering algorithm based on the browsing history of the graphs selected by the operator and displayed on the display screen, and a score value may be calculated based on the similarity. In this case, the graph recommendation order calculation unit 42C performs machine learning of the similarity between graphs based on the browsing history of the graphs of all the operators, calculates a score value based on the similarity, and records it in the graph browsing history DB. The similarity may be calculated using, for example, Euclidean distance, weighted average, or Pearson coefficient. In addition, the graph recommendation list may be updated based on the graph being displayed. In addition, the graph recommendation order calculation unit 42C may calculate a score value based on a learning model generated using a warning that has occurred in the past and the history of the graphs viewed at the time of the warning as teacher data. The machine learning model includes a model that uses a neural network such as a convolutional neural network (CNN), a model that uses a regression model such as Gaussian process regression, and a model that uses a tree algorithm such as a decision tree. When collecting information for machine learning, the edge/cloud computing unit 32 can be used.

The graph recommendation list may display only those with the highest score values, or may display all graphs with a score value. In special circumstances, it may be necessary to view graphs with low score values.

In addition, the present invention can be modified in various ways without departing from the spirit of the invention. For example, some components in one embodiment can be added to other embodiments within the scope of the ordinary creative ability of a person skilled in the art. Also, some components in one embodiment can be replaced with corresponding components in other embodiments.

Reference Signs List 1 Plant 2 Furnace 3 Cyclone 4 Circulating material recovery pipe 5 Rear flue 6 Furnace wall pipe 7 Pump 8 Steam drum 10 Superheater 12 Economizer 30 Operation support system 32 Edge/cloud computing unit 40 Monitoring device 42 Alarm display control unit 44 Memory 50 Display device 100 Turbine 102 Condenser

Claims (7)

displaying, at the time of a warning, a selection of multiple graphs associated with the warning and a score value based on the number of times the multiple graphs were displayed at the time of the warning in the past, based on a database in which a history of graphs viewed at the time of the warning in the past is recorded in association with the warning;
a graph setting database configured to store signal names of process data corresponding to the selected graph and to allow a new graph to be registered, thereby displaying the graph in which the X-axis and Y-axis are data calculated based on a plurality of process data ;
configured to update a score value of the displayed graph in association with the alert;
Display device. the selection is displayed along with a description of at least one graph associated with the alert.
The display device according to claim 1 . The options are displayed based on a learning model generated using, as training data, warnings that have occurred in the past and the history of graphs that were viewed at the time of the warnings.
The display device according to claim 1 . Further comprising a recording means for recording that the graph has been displayed.
The display device according to claim 1 . a step of displaying, when a warning is issued, a selection of multiple graphs associated with the warning and a score value based on the number of times the multiple graphs were displayed at the time of the warning in the past, based on a database in which a history of graphs viewed at the time of the warning in the past is recorded in association with the warning;
a step of displaying the graph in which the X-axis and the Y-axis are data calculated based on a plurality of process data by accessing a graph setting database configured to store signal names of process data corresponding to the selected graph and to allow a new graph to be registered ;
updating a score value of the displayed graph in association with the alert;
Display methods including. a means for displaying on a display device, when a warning is issued, a selection of multiple graphs associated with the warning and a score value based on the number of times the multiple graphs were displayed at the time of the warning in the past, based on a database in which a history of graphs viewed at the time of the warning in the past is recorded in association with the warning;
a means for accessing a graph setting database configured to store signal names of process data corresponding to the selected graph and to allow a new graph to be registered, thereby displaying the graph on the display device, the X-axis and Y-axis being data calculated based on a plurality of process data;
means for updating a score value of the displayed graph in association with the warning;
A control device comprising: On the computer,
a step of displaying on a display device, when a warning is issued, a selection of multiple graphs associated with the warning and a score value based on the number of times the multiple graphs were displayed in the past when the warning was issued, based on a database in which a history of graphs viewed at the time of the warning is recorded in association with the warning;
a step of accessing a graph setting database configured to store signal names of process data corresponding to the selected graph and to allow a new graph to be registered, thereby displaying the graph on the display device, the X-axis and Y-axis being data calculated based on a plurality of process data;
updating a score value of the displayed graph in association with the warning;
A computer program for executing the above.

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