Plant operation support equipment

Abstract

To provide a plant operation support system capable of causing an operator to promptly take measures against an abnormality without depending on the operator's experience or skill.SOLUTION: A plant operation support system includes an apparatus control unit, a camera, a motion picture data collection unit, an image analysis unit, and a display processing unit. The camera images a facility installed in a plant. The motion picture data collection unit collects motion picture data imaged by the camera. The image analysis unit extracts an image from the collected motion picture data in a predetermined cycle, stores and analyzes each of the extracted images, detects an abnormality in an output result of the plant on the basis of a result of the analysis of each of the images, and outputs abnormality information including a type of the abnormality. The display processing unit displays, on a display device, the type of the abnormality corresponding to the abnormality information, an abnormal time image, a normal time image corresponding to the abnormal time image, and a guidance including a method of coping with the abnormality information.SELECTED DRAWING: Figure 4

Description

Technical Field

[0001] The present disclosure relates to a plant operation support device for supporting the operation of a plant.

Background Art

[0002] For example, in a plant such as a chemical plant, plant facilities such as a melting furnace (hereinafter referred to as "facilities") are installed. Such facilities have a plurality of devices such as a raw material input machine for inputting raw materials, and implement a process by controlling each device.

[0003] The following Patent Document 1 discloses an abnormality detection device as a plant operation support device. This abnormality detection device extracts a feature amount from an image captured by a camera, compares the extracted feature amount with an average feature amount, and detects an abnormality (abnormal change) when the difference between the two feature amounts exceeds a threshold value.

[0004] When an abnormality is detected, it is common to notify the operator of the abnormality by displaying an alarm indicating the abnormality on the screen monitored by the plant operator. The operator who receives the notification separately opens an application on the monitoring screen, identifies the cause of the abnormality while viewing the image at the time of abnormality corresponding to the abnormality on the application, and performs the measures necessary to return to the normal state.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0006] By the way, depending on the cause of the abnormality, for example, when a minor failure of a device occurs, it is required to quickly take measures for the operator without stopping the process.

[0007] However, depending on the operator's experience and skill, it can be difficult to identify the cause of an anomaly simply by looking at the images, leading to delays in response. If anomalies occur frequently and rapid response is not possible, there is a risk that the anomaly may be overlooked.

[0008] Therefore, the purpose of this disclosure is to provide a plant operation support device that enables operators to quickly take action against abnormalities, regardless of their experience or skill. [Means for solving the problem]

[0009] The first aspect of this disclosure relates to a plant operation support device that assists in the operation of a plant. The plant operation support device comprises an equipment control unit, a camera, a video data acquisition unit, an image analysis unit, and a display processing unit. The equipment control unit outputs control signals to control controlled equipment of the facilities installed in the plant, and the camera photographs the facilities installed in the plant. The video data acquisition unit collects video data captured by the camera. The image analysis unit extracts images from the video data collected by the video data acquisition unit at predetermined intervals, stores and analyzes each extracted image, detects abnormalities in the plant based on the analysis results of each image, and outputs abnormality information including the type of abnormality. The display processing unit displays the type of abnormality corresponding to the abnormality information, an image of the abnormal situation, a normal image corresponding to the abnormal situation image, and guidance including a method for dealing with the abnormality information on a display.

[0010] Furthermore, a second aspect of this disclosure relates to a plant operation support device. The plant operation support device comprises an equipment control unit, a camera, a video data acquisition unit, an image analysis unit, and a display processing unit. The equipment control unit outputs control signals to control controlled equipment installed in the plant. The camera photographs the equipment installed in the plant. The video data acquisition unit collects video data captured by the camera. The image analysis unit extracts images from the video data collected by the video data acquisition unit at predetermined intervals, stores each extracted image, and analyzes it. In addition, the equipment control unit detects plant abnormalities by comparing measurement signals from sensors that detect the state of the plant with control signals output to the controlled equipment, and outputs abnormality information including information on the type of abnormality. The display processing unit displays the type of abnormality corresponding to the abnormality information, an image of the abnormal situation, a normal image corresponding to the abnormal situation image, and guidance including how to deal with the abnormality information on a display. The display processing unit includes an image processing unit that colors the abnormal image with a first specified color and makes it transparent, and then overlays the transparent abnormal image onto the normal image. The processed image processed by the image processing unit is then displayed on the display. [Effects of the Invention]

[0011] According to the first aspect of this disclosure, not only is the type of anomaly displayed, but the display unit also shows images of the anomaly, images of the normal state, and countermeasures. Therefore, when a plant operator receives a notification of an anomaly, they are saved the trouble of having to launch a separate application to display the anomaly image. The operator can then take action after viewing the anomaly and normal images displayed along with the type of anomaly and confirming the countermeasures displayed together. Thus, it is possible to provide a plant operation support device that enables operators to quickly take action against anomalies, regardless of their experience or skill.

[0012] According to the second aspect of this disclosure, by comparing the control signal with the measurement signal, plant abnormalities can be detected early, and the abnormal location, which is the part that has been determined to be abnormal, becomes clear, so that the operator can quickly and accurately identify the abnormal location. [Brief explanation of the drawing]

[0013] [Figure 1] This is a schematic diagram showing the configuration of a plant equipped with a plant operation support device according to an embodiment. [Figure 2] This diagram illustrates an example configuration of a plant operation support system. [Figure 3] This figure shows the linked table shown in Figure 1. [Figure 4] This is a schematic diagram showing an example of image processing performed by the image processing unit. [Figure 5] This is a conceptual diagram showing an example of the hardware configuration of a processing circuit in a plant operation support system. [Figure 6] This is a schematic diagram showing other examples of image processing performed by the image processing unit. [Modes for carrying out the invention]

[0014] The embodiments will be described below with reference to the drawings. Common or corresponding elements in each drawing are denoted by the same reference numerals, and their descriptions are simplified or omitted.

[0015] Figure 1 is a schematic diagram showing the configuration of a plant PL equipped with a plant operation support device according to an embodiment. Examples of plant PLs include dissolution plants, ethylene production plants, petroleum refining plants, polymer production plants, beer production plants, glass production plants, or other material plants.

[0016] A plant PL (plant project line) includes, for example, equipment 1 that carries out processes such as dissolution, purification, and manufacturing, and plant operation support equipment 2 that assists in the operation of the plant PL. The following explanation will use the case where equipment 1 is a dissolution furnace as an example.

[0017] The melting furnace 1 includes a raw material feeder 11 which is a controlled device controlled by a device control unit 21 described later. The melting furnace 1 melts the raw material input from the raw material feeder 11 and discharges the melted raw material from a discharge unit 12. In this case, the manipulated variable MV is the raw material input amount, and the controlled variable PV is the height of the surface of the melted raw material (hereinafter referred to as "liquid level value") measured by a liquid level sensor 13. The liquid level sensor 13 transmits the measured liquid level value as a sensor signal to the device control unit 21 described later. Based on the sensor signal indicating the liquid level value from the liquid level sensor 13, the raw material input amount (manipulated variable MV) by the raw material feeder 11 is controlled by a control signal from the device control unit 21 so that the liquid level value (controlled variable PV) becomes the target value. Note that the sensor signal is an example of a measurement signal. Further, a camera 14 is installed in the melting furnace 1, and the output result of the raw material feeder 11 controlled by a control signal from the device control unit 21, that is, the raw material input from the raw material feeder 11 is photographed.

[0018] FIG. 2 is a diagram for explaining a configuration example of the plant operation support device 2. The plant operation support device 2 includes a device control unit 21, a moving image data collection unit 22, an image analysis unit 23, a database unit 24, a display processing unit 25, and a display 26. Note that the device control unit 21, the moving image data collection unit 22, the database unit 24, the display 26, etc. may be integrally configured, or a part thereof may be communicably arranged outside the plant operation support device 2.

[0019] The machine control unit 21 controls the controlled devices such as the raw material feeder 11, and is, for example, a distributed control system (DCS) or a programmable logic controller (PLC). The machine control unit 21 outputs a control signal to the controlled devices such as the raw material feeder 11, and also outputs the same control signal as the control signal output to the controlled device 11 for abnormality diagnosis to the image analysis unit 23. The control signal may be any signal that controls the controlled device, such as a digital numerical signal, an analog signal, or a signal (state command) that controls states such as the operation and stop, opening and closing of the controlled object. Further, the machine control unit 21 outputs a sensor signal from sensors such as the liquid level sensor 13 to the image analysis unit 23 for abnormality diagnosis. Note that the sensor signal may be input directly from the liquid level sensor 13 or the like to the image analysis unit 23. Further, when the machine control unit 21 detects an abnormality in the plant PL, it outputs abnormality information AL1 to the image analysis unit 23. The abnormality information AL1 includes the type of abnormality, the level of abnormality, and the conditions of the plant PL, similar to the abnormality information AL2 described later. The conditions of the plant PL include, for example, the values of various measurement signals of the melting furnace 1 and the values of control signals to the controlled object. The moving image data collection unit 22 collects the moving image data captured by the camera 14.

[0020] The image analysis unit 23 extracts images (image data) at a predetermined fixed cycle from the moving image data collected by the moving image data collection unit 22. The image analysis unit 23 stores each extracted image in the database unit 24 and analyzes each image. The image analysis unit 23 can learn each extracted image. The image analysis unit 23 detects an abnormality in the plant PL based on the analysis result of each image.

[0021] When the image analysis unit 23 does not detect an abnormality based on its own analysis result or when the control device unit 21 does not detect an abnormality, the extracted image is associated with the conditions of the plant PL (for example, conditions such as time and the values of various measurement signals of the melting furnace 1 and the values of control signals to the controlled object) and stored in the database unit 24 as a normal-time image.

[0022] Alternatively, if the image analysis unit 23 detects an abnormality in the plant PL based on the analysis results of each of the aforementioned images, it outputs abnormality information AL2, which includes details of the detected abnormality, and the abnormality image, which is the image at the time of abnormality detection, to the display processing unit 25. The image analysis unit 23 also registers the abnormality information AL2 and the abnormality image, which is the image at the time of abnormality detection, in the database unit 24. The abnormality information AL2 includes the type of abnormality, the level of the abnormality, and conditions of the plant PL (for example, time and conditions such as the values ​​of various measurement signals of the melting furnace 1 and the values ​​of control signals of the controlled object).

[0023] When the image analysis unit 23 receives abnormal information AL1 from the device control unit 21, it considers abnormal information AL1 to be abnormal information AL2 and outputs the abnormal image, which is the image at the time of abnormal detection, to the display processing unit 25, just as if the image analysis unit 23 itself had detected the abnormality. The image analysis unit 23 also registers abnormal information AL2 (abnormal information AL1 considered to be abnormal information AL2) and the abnormal image, which is the image at the time of abnormal detection, in the database unit 24. The image data extraction cycle may be shortened when an abnormality is detected based on the analysis results or when an alarm (abnormality detection) is received from other external devices.

[0024] For example, if equipment 1 is a melting furnace and the raw material fed from the raw material feeder 11 is a powder or granules, or other material smaller than the liquid surface of the melting furnace, the raw material will pile up and accumulate mainly directly below the feed opening. The image analysis unit 23 can determine this accumulation amount from images obtained from the camera 14, etc., by pattern recognition or the like. If the accumulation amount is larger or smaller than the standard registered in the database unit 23, the image analysis unit 23 can detect an abnormality in the plant PL. When an abnormality in the plant PL is detected, it can issue abnormality information AL2. Alternatively, if camera 14 is a thermography camera, the image analysis unit 23 can detect an abnormality in the plant PL and issue abnormality information AL2 when the temperature distribution of the liquid surface differs from a predetermined distribution, or when the highest or lowest temperature of a specific part of the image exceeds a predetermined temperature range. Furthermore, the estimated deposit amount, temperature distribution, and criteria for maximum and minimum temperatures may be set to be variable based on various control variables, such as the amount of raw material fed per unit time from the raw material feeder 11, and sensor signals and control signals such as power supplied to a heating device (not shown). In this way, the image analysis unit 23 can detect plant PL abnormalities early based on the results obtained from image analysis.

[0025] Furthermore, the image analysis unit 23 may be configured to detect abnormalities based on the results obtained from the image analysis and the control signal. For example, the image analysis unit 23 can detect an abnormality and issue abnormality information AL2 if, even though the control signal commanding the amount of raw material to be fed into the raw material feeder 11 has not changed, the rate of change of the amount of material deposited obtained from the image analysis results is greater than a predetermined rate of change. Alternatively, the image analysis unit 23 can detect an abnormality and issue abnormality information AL2 if, for example, the control signal commanding the amount of raw material to be fed into the raw material feeder 11 has been increased, but the amount of material deposited obtained from the image analysis results has not reached a predetermined amount. In this way, the system can be configured to detect abnormalities and issue abnormality information AL2 by comparing the control signal and the results of the image analysis.

[0026] Furthermore, the image analysis unit 23 may be configured to detect abnormalities from the results obtained by image analysis and measurement signals from various sensors that measure the state of the plant PL. For example, if the camera 14 is a thermographic camera, the image analysis unit 23 can detect an abnormality and issue abnormality information AL2 if there is a change in the temperature distribution of the liquid surface obtained from the analysis results of the thermographic camera, even though there is no change in the signal from the temperature sensor of the dissolution tank (not shown). In this way, abnormalities can be detected and abnormality information AL2 can be issued by comparing the measurement signals and the results of image analysis.

[0027] Furthermore, the control device unit 21 monitors the control signals it emits, such as the signal commanding the amount of raw material to be fed into the raw material feeder 11 (operated amount MV) and the measurement signal indicating the liquid level value (controlled amount PV) of the liquid level sensor 13. Based on the monitored control signals and measurement signals, it can detect abnormalities and send abnormality information AL1 to the image analysis unit 23. The control device unit 21 can detect abnormalities and send abnormality information AL1 to the image analysis unit 23 based on the change in the control signal of the raw material feeder 11, the change in the sensor signal of the liquid level sensor 13, or the change in the discharge sensor (not shown) that measures the amount of discharge from the discharge unit 12. For example, if the control signal of the raw material feeder 11 remains constant, but the change in the sensor signal of the liquid level sensor 13 exceeds a predetermined reference range, it can detect an abnormality and send abnormality information AL1 to the image analysis unit 23.

[0028] Furthermore, as shown in the modified example described later (see Figure 6), for example, if the change in the sensor signal of the liquid level sensor 13 is less than a predetermined reference change amount despite a change in the control signal of the raw material input machine 11, it is possible to detect an abnormality and send abnormality information AL1 to the image analysis unit 23. Note that the criteria for determining the change in the measurement signal, such as the reference change amount, may be changed according to the value of the control signal. In this way, the equipment control unit 21 can detect abnormalities in the plant PL early by monitoring and comparing the control signal and the measurement signal. When the image analysis unit 23 receives abnormality information AL1 from the equipment control unit 21, it considers abnormality information AL1 to be abnormality information AL2 and performs various processing based on abnormality information AL2.

[0029] The display processing unit 25 includes a linking table 25a and an image processing unit 25b. As shown in Figure 3, the linking table 25a links guidance and normal images based on abnormality information AL2, which includes the type and level of abnormality and conditions of the plant PL (for example, conditions such as the values ​​of various measurement signals of the melting furnace 1 and the values ​​of control signals to the controlled object). The guidance includes methods for dealing with the type and level of abnormality according to the conditions of the melting furnace 1, and preferably includes further details of the abnormality. The normal image In is superimposed on the abnormal image by the image processing unit 25b, which will be described later. The display processing unit 25 refers to the linking table 25a and obtains guidance including methods for dealing with abnormality information AL2, abnormal image Ia, or a normal image In linked to the contents of abnormality information AL2 from the database unit 24. The conditions of the plant PL (e.g., melting furnace 1) include, for example, the input amount of raw materials per unit time, the temperature, pressure, liquid level, and discharge value of melting furnace 1, as well as the values ​​of measurement signals and control signals to the controlled object (e.g., the command value of the manipulated variable MV). The level of abnormality is, for example, a weighting of the degree of deviation between various measured values ​​and the judgment criteria. For example, the degree of deviation can be weighted and classified into severe failure, moderate failure, minor failure, etc., from large to small. Alternatively, the level can be weighted and classified according to the type of abnormality.

[0030] If an abnormality occurs in which the amount of raw material deposited from the raw material input machine 11 becomes excessive, the countermeasures for this abnormality include not only reducing the amount of raw material input from the raw material input machine 11, but also increasing the discharge volume by increasing the opening of the on-off valve (not shown) interposed in the discharge section 12. If the linking table 25a defines multiple countermeasures corresponding to one abnormality information AL2 (or abnormality information AL1), then it is sufficient to obtain multiple countermeasures. In this case, the display unit 26 will display guidance including multiple countermeasures, allowing the operator to select the most appropriate countermeasure. The guidance is linked to the abnormality information AL2 (or abnormality information AL1).

[0031] Figure 4 is a schematic diagram showing an example of image processing by the image processing unit 25b. As shown in Figure 4, the image processing unit 25b colors the abnormal image Ia acquired from the image analysis unit 23 with a first specified color different from the original color (e.g., black) and makes the background transparent. Subsequently, the image processing unit 25b overlays the colored and transparent abnormal image Ia onto the normal image In acquired from the database unit 24. This makes it easier for the operator to recognize the difference between the two images In and Ia, even if the difference between the normal image In and the abnormal image Ia is relatively small. The image processing unit 25b colors the portion Pa of the abnormal image Ia that is judged to be abnormal, specifically the portion Pa that has accumulated excessively, with a second specified color different from the first specified color. The display processing unit 25 outputs the processed image Ip, which is the image processed by the image processing unit 25b, along with the type of abnormality 26a and guidance 26b, to the display unit 26 and displays the processed image Ip on the display unit 26. Furthermore, the display processing unit 25 may also output and display the levels and conditions included in the abnormal information AL1 or abnormal information AL2 to the display unit 26.

[0032] For example, the normal image In may be selected from the normal image data stored in the database unit 24 in which items other than the items that indicate the plant PL abnormality are within a predetermined value, or it may be selected from normal image data taken a predetermined time prior to the time the abnormality was detected, in which items other than the items that indicate the plant PL abnormality are within a predetermined value.

[0033] As described above, according to this embodiment, when an abnormality is detected in the melting furnace 1, not only the type of abnormality, but also a processed image Ip, which is created by superimposing an abnormal image Ia (which has undergone transparency processing) onto a normal image In, and guidance including countermeasures are all displayed together on the display unit 26. Therefore, the plant PL operator who looks at the display unit 26 is saved the trouble of launching a separate application to display the abnormal image and then displaying the abnormal image on the application. The operator can then take action after confirming the countermeasures in the guidance displayed along with the processed image Ip. Thus, a plant operation support device 2 is provided that enables the operator to quickly take action against an abnormality, regardless of the operator's experience or skill. Moreover, by coloring the abnormal image Ia with a first designated color, the abnormal area Pa, which is determined to be abnormal, becomes clear, which is advantageous as it allows the operator to quickly and accurately identify the abnormal area.

[0034] Furthermore, by coloring the abnormal area Pa with a second designated color, the abnormal area can be made even clearer. This is particularly effective when the difference between the abnormal image Ia and the normal image In is slight.

[0035] While there are no specific limitations on the structure of the plant operation support device 2 described above, the following is one example. Figure 5 shows an example of the hardware configuration of the processing circuit 20 of the plant operation support device 2. The functions of the plant operation support device 2 can be realized by the processing circuit 20 shown in Figure 5. This processing circuit 20 may be dedicated hardware 20a. This processing circuit 20 may also include a processor 20b and a memory 20c. This processing circuit 20 may be partially formed as dedicated hardware 20a and further include a processor 20b and a memory 20c. In the example in Figure 5, part of the processing circuit 20 is formed as dedicated hardware 20a, and the processing circuit 20 also includes a processor 20b and a memory 20c. This memory 20c may also serve as the database unit 24.

[0036] At least a portion of the processing circuit 20 may be at least one dedicated hardware 20a. In this case, the processing circuit may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof.

[0037] The processing circuit 20 may include at least one processor 20b and at least one memory 20c. In this case, each function of the plant operation support device 2 is realized by software, firmware, or a combination of software and firmware. The software and firmware are written as programs and stored in the memory 20c. The processor 20b realizes the functions of each part by reading and executing the programs stored in the memory 20c.

[0038] The processor 20b is also called a CPU (Central Processing Unit), central processing unit, processing unit, arithmetic unit, microprocessor, microcomputer, or DSP. Memory 20c includes non-volatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, and EEPROM. In this way, the processing circuit 20 can realize each function of the plant operation support device 2 through hardware, software, firmware, or a combination thereof.

[0039] Although embodiments of the present invention have been described above, the present invention is not limited to the embodiments described above, and can be implemented in various ways without departing from the spirit of the present invention.

[0040] In the above embodiment, the processed image Ip, which is created by superimposing the abnormal image Ia onto the normal image In, is displayed on the display unit 26. However, the abnormal image Ia and the normal image In can also be displayed side by side without superimposing them. Such parallel display can be used, for example, when there is a large difference between the two images Ia and In. Even when displaying in parallel, the operator can take action after checking the countermeasures displayed together with the abnormal image Ia and normal image In, which are displayed together with the type of abnormality 26a. Therefore, the effect of enabling the operator to quickly take action against the type of abnormality 26a is not diminished, regardless of the operator's experience or skill.

[0041] Figure 6 is a schematic diagram showing another example of image processing by the image processing unit. In this example, the raw material input amount, which is the manipulated variable MV, is changed from 10% to 20%. In this case, it can be seen that the raw material input amount has not increased in the abnormal image Ia compared to the normal image In, due to reasons such as clogging of the raw material input machine 11. In this case, in the linking table 25a of the display processing unit 25, a different normal image In should be linked to the abnormal image Ia for each command value of the manipulated variable MV (for example, MV = 10%, 20%). The command value of the manipulated variable MV is an example of a control signal and an example of a plant PL condition.

[0042] Furthermore, when referring to the number, quantity, amount, range, etc., of each element in the above embodiments, the present invention is not limited to the number referred to, unless otherwise explicitly stated or clearly defined in principle. Also, the structures, etc., described in the above embodiments are not necessarily essential to the present invention, unless otherwise explicitly stated or clearly defined in principle. [Explanation of Symbols]

[0043] PL...Plant, 1...Melting furnace (equipment), 11...Raw material input machine (controlled equipment), 13...Liquid level sensor (sensor), 14...Camera, 2...Plant operation support device, 21...Equipment control unit, 22...Video data acquisition unit, 23...Image analysis unit, 25...Display processing unit, 26...Display unit, 26a...Type of abnormality, 26b...Guidance, AL1,AL2...Abnormality information, Ia...Image during abnormality, In...Image during normal operation, Ip...Processed image

Claims

1. A plant operation support device that assists in the operation of a plant, A device control unit that outputs control signals for controlling the controlled equipment of the equipment installed in the plant, A camera for photographing the equipment installed in the aforementioned plant, A video data collection unit collects video data captured by the aforementioned camera, An image analysis unit extracts images from the video data collected by the video data collection unit at predetermined intervals, stores and analyzes each extracted image, detects an anomaly in the plant based on the analysis results of each image, and outputs anomaly information including the type of anomaly. The system includes a display processing unit that displays on a display the type of anomaly corresponding to the anomaly information, an image of the anomaly, a normal image corresponding to the anomaly image, and guidance including a method for dealing with the anomaly information. The display processing unit includes an image processing unit that colors the abnormal image with a first specified color and makes it transparent, and then superimposes the transparent abnormal image onto the normal image, and displays the processed image processed by the image processing unit on the display unit. The image analysis unit is a plant operation support device that detects abnormalities in the plant based on the analysis results of each image and the control signals output by the equipment control unit.

2. A plant operation support device that assists in the operation of a plant, A device control unit that outputs control signals for controlling the controlled equipment of the equipment installed in the plant, A camera for photographing the equipment installed in the aforementioned plant, A video data collection unit collects video data captured by the aforementioned camera, An image analysis unit extracts images from the video data collected by the video data collection unit at predetermined intervals, stores and analyzes each extracted image, detects an anomaly in the plant based on the analysis results of each image, and outputs anomaly information including the type of anomaly. The system includes a display processing unit that displays on a display the type of anomaly corresponding to the anomaly information, an image of the anomaly, a normal image corresponding to the anomaly image, and guidance including a method for dealing with the anomaly information. The display processing unit includes an image processing unit that colors the abnormal image with a first specified color and makes it transparent, and then superimposes the transparent abnormal image onto the normal image, and displays the processed image processed by the image processing unit on the display unit. The image analysis unit is a plant operation support device that detects abnormalities in the plant based on the analysis results of each image and measurement signals from sensors that detect the state of the plant.

3. The plant operation support device according to claim 1 or 2, wherein the image processing unit further processes the abnormal image superimposed on the normal image by coloring the portion determined to be abnormal by the image analysis unit with a second designated color.

Images