JP7255583B2 - Simulation device for plant monitoring system - Google Patents

Description

The present invention relates to a simulation device for a plant monitoring system.

For example, Patent Literature 1 discloses a three-dimensional display system capable of displaying wide-area map information and structure information included in the map information.

In addition, in Patent Document 2, the actual equipment that constitutes the plant equipment is displayed as a three-dimensional image that matches the shape and arrangement of the actual equipment, so that the operator can easily grasp the state of the plant. A display system is disclosed that can.

JP 2017-97822 A JP-A-6-175626

By the way, changes in the environment in which structures such as plant equipment are installed may affect objects to be monitored. In order to present monitoring information that meets the customer's needs, it is preferable to display an image of a structure model that takes into account environmental information in which the structure is installed.

However, the display systems according to Patent Literatures 1 and 2 have a problem that the image of the structure model that takes into account the environmental information of the structure is not displayed.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a plant monitoring system simulation apparatus capable of presenting monitoring information that meets customer needs.

In order to achieve the above object, the plant monitoring system simulation device of the present invention includes:
an environment model generation unit that generates an environment model including display data for schematically displaying an environment that changes over time;
a structure model generation unit that generates a structure model including display data for schematically displaying a structure of a plant provided in the environment;
a display unit that displays the environment model generated by the environment model generation unit and the structure model generated by the structure model generation unit ;
The environment model includes a false positive factor model that affects the detection of gas clouds that may originate from the structure .

ADVANTAGE OF THE INVENTION According to this invention, the monitoring information which suits a customer's needs can be presented.

A diagram schematically showing an example of a structure model simulating a plant structure 1 is a diagram schematically showing the configuration of a simulation device for a plant monitoring system according to an embodiment of the present invention; FIG. Diagram for explaining the principle of gas cloud detection Diagram showing an example of false positive factor model Diagram showing an example of false positive factor model Figure 1 shows an image of the background of the gas cloud in the active surveillance area as seen from the left camera in Figure 1. Illustration showing a background image of a gas cloud in the active surveillance area as seen from the right camera in Figure 1. Flowchart showing processing such as an environment model in a simulation device The figure which shows roughly a part of structure of the simulation apparatus of the plant monitoring system in a modification. Flowchart showing processing such as an environment model in a simulation device

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a diagram schematically showing an example of a structure model 120 imitating the structure of a plant. The structure model 120 has display data for schematically displaying the structure of a plant for refining and liquefying natural gas, for example. The structure model 120 includes, for example, a receiver tank 121, a service tank 122, a molecular sieve tower 123, an activated carbon tower 124, a regenerated gas heater 125, a regenerated gas cooling tower 126, and a plurality of pipes 127 connecting them. ing. In order to make the plurality of pipes 127 easier to see, the pipes 127 are represented by different line types (solid line, dashed line) in FIG. FIG. 1 also shows a camera 10 provided at a virtual position.

FIG. 2 is a diagram schematically showing the configuration of a simulation device 100 for a plant monitoring system according to the embodiment of the present invention. As shown in FIG. 2, the simulation apparatus 100 includes a structure model generation unit 101, an environment model generation unit 102, a storage unit 110, an input unit 140 (corresponding to the "camera position input unit" of the present invention), a display unit 150, A setting calculation unit 160 , a structure information acquisition unit 171 , and an environment information acquisition unit 172 are provided. The setting calculation unit 160 includes a gas cloud generation area setting unit 161 , a risk setting unit 162 , a monitoring area creation unit 163 and a calculation unit 164 .

The simulation device 100 has a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), a touch panel, a display, and speakers, which are interconnected via a bus. The CPU is a control circuit composed of a microprocessor or the like that controls the above units and executes various kinds of arithmetic processing according to a program. The functions of the above units of the simulation apparatus 100 are exhibited by the CPU executing corresponding programs. The ROM has, for example, a nonvolatile semiconductor memory or a large-capacity magnetic disk device, and stores three-dimensional data, content data, and control processing programs.

The structure information acquisition unit 171 acquires information (for example, photographs, map information) about plant structures.

The environmental information acquisition unit 172 acquires environmental information from site inspections, aerial photography/satellite images, and people in the field. Environmental information is year-round information. Specifically, the environmental information includes environmental information that affects the detection of gas clouds that may originate (leak) from the structure. More specifically, the environmental information includes the surrounding environment of the structure and the natural environment. The surrounding environment includes the sea, roads, railroad tracks, surrounding factories, coppices, mountains, trees and ground (asphalt, lawn, soil, and sand (dust)) within the plant site. The natural environment includes sunlight (brightness, temperature), climate and weather information (fog, rain, snow, wind).

The structure model generator 101 generates a structure model 120 based on information about plant structures. The structure model generation unit 101 extracts parameters (shooting position, shooting direction) of the cameras 10 (the visible light camera 10A and the infrared camera 10B shown in FIG. 1) used for shooting from the information of the photos. The structure model generator 101 generates a three-dimensional structure model 120 from photographs taken from different directions and the parameters of the camera 10 . Storage unit 110 stores structure model 120 .

The environment model generation unit 102 generates an environment model 130 including display data for schematically displaying the environment of the structure based on the environment information. Storage unit 110 stores environment model 130 . Note that, in the present embodiment, sunlight, the ground, and the climate will be described as examples of the environment model 130 in order to facilitate the understanding of the following description.

The environment model generation unit 102 has an erroneous detection factor model generation unit 103 . The false positive factor model generation unit 103 generates the false positive factor model 131 that affects the detection of a gas cloud that can be generated (leak) from a structure. The storage unit 110 stores an erroneous detection factor model 131 .

The erroneous detection factor model 131 includes the luminance of the background visible image of the gas leak source (gas generating portion, eg, pipe 127). Specifically, the brightness of the visible image of the background of the gas leak source is affected by sunlight, artificial light sources, the ocean, reflected sunlight on buildings, gas-like phenomena (water vapor, clouds), dust, swaying trees and grass. Each contains the intensity of the visible image background of the gas leak source. Visible images do not show detectable gas clouds such as methane. Therefore, the visible image is superimposed on the infrared image and used to make it easier to identify the gas leak source. Note that the visible image of the gas leakage source (gas generating portion) is a visible image of a predetermined gas leakage source model. Also, the brightness of the visible image of the gas leak source is a predetermined brightness.

In this embodiment, an infrared camera 10B for detecting gas clouds is not provided. In addition, in the following description, it is assumed that the infrared camera 10B is provided at a virtual position. The principle of gas cloud detection by the infrared camera 10B will be described with reference to FIG. Gas clouds absorb part of the emitted infrared radiation depending on the temperature of the background. FIG. 3 shows the amount V(Tb) of infrared rays radiated from the background, αV(Tb) the amount of infrared rays absorbed by the gas cloud, and the amount V(Tg) of infrared rays radiated from the gas cloud. where V(T) is the blackbody radiance at absolute temperature T(K).

The gas cloud has the amount of infrared rays radiated from the background V(Tb), the amount of infrared rays radiated from the background and transmitted through the gas cloud (1-α)V(Tb), and the amount of infrared rays radiated from the gas cloud V(Tg ) is detected based on the difference from the total amount. Therefore, the gas cloud detection range includes a background temperature image, which is an image based on the amount of infrared rays V(Tb), and a gas cloud, which is an image based on the amount of infrared rays ((1−α)V(Tb)+V(Tg)). It is defined as an image that extracts the difference from the image.

The false positive factor model 131 includes the brightness (thermal information) of the infrared image of the background of the gas cloud. Specifically, the brightness (thermal information) of the infrared image of the background of the gas cloud is the brightness (thermal information) of the infrared image of the background of sunlight, artificial light sources, and artificial heat sources, and the background temperature changes due to the wind. contains the brightness (thermal information) of the infrared image of If the difference between the brightness of the infrared image of the background of the gas cloud (thermal information) and the brightness of the infrared image of the gas cloud (thermal information) is less than a predetermined threshold, the gas cloud may be falsely detected. . Note that the infrared image of the gas cloud is an infrared image of a predetermined gas cloud model. In addition, the brightness (thermal information) of the infrared image of the gas cloud is a predetermined brightness (temperature).

The gas cloud generation area setting unit 161 sets a gas cloud generation possibility area, which is an area in which a gas cloud may occur. Specifically, the gas cloud generation area setting unit 161 sets the pipe 127 as the gas cloud generation possibility area. The input unit 140 is used for setting the gas cloud generation possibility area. The storage unit 110 stores a gas cloud generation possibility area. In order to facilitate understanding of the following description, the pipe 127 will be described as an example of the gas cloud generation potential area.

The risk level setting unit 162 sets a risk level indicating the possibility of gas cloud generation in the gas cloud generation potential area (plurality of pipes 127) based on a predetermined condition. The input unit 140 is used for setting the degree of risk. Predetermined conditions include, for example, useful life (lifetime), years of actual use, material (material of pipe 127), purpose of use (type of gas), installation status of pipe 127 (outdoor, indoor), corrosion status, and degraded state. Storage unit 110 stores the degree of risk.

The monitoring area creation unit 163 creates a monitoring setting area for monitoring gas clouds based on the false detection factor model 131, the gas cloud occurrence possibility area (a plurality of pipes 127), and the degree of risk. In the present embodiment, the risk level setting unit 162 sets the gas cloud generation potential areas (plurality of pipes 127) to the same risk level in order to facilitate understanding of the following description. When the risk level setting unit 162 sets different levels of risk for the plurality of pipes 127, the monitoring area creation unit 163 creates a monitoring setting area based on the pipes 127 with a high risk level.

Next, the erroneous detection factor model 131 will be described with reference to FIGS. 4 and 5. FIG.
An example of the erroneous detection factor model 131 shown in FIG. 4 includes the wall surface 128A of the building in the background of the gas cloud. FIG. 4 shows the infrared camera 10B provided at a virtual position. Also, the building wall surface 128A is shown as a place not exposed to sunlight. When the temperature of both the wall surface 128A and the gas cloud, which are not exposed to sunlight, are substantially the same, the difference in luminance (thermal information) between the infrared image of the gas cloud and the infrared image of the wall surface 128A is slight. . As a result, it becomes difficult to detect the gas cloud, and the gas cloud may be erroneously detected. When the difference in brightness (heat information) between the infrared image of the gas cloud and the infrared image of the wall surface 128A is equal to or less than a predetermined threshold value, the monitoring area creation unit 163 determines that the wall surface 128A is the gas leak source in the background. The piping 127 is excluded from the monitoring setting area as an erroneous detection area 128 (see FIG. 1).

An example of the false positive factor model 131 shown in FIG. 5 includes trees 128B in the background of the gas cloud. FIG. 5 shows the infrared camera 10B provided at a virtual position. When the temperatures of both the tree 128B and the gas cloud are approximately the same, if the difference in brightness (thermal information) between the infrared image of the gas cloud and the infrared image of the tree 128B is slight, the temperature of the gas cloud is Difficult to detect. Gas cloud detection uses a method of extracting a gas cloud region from a background region as a moving object region (for example, a frame difference method). In this method, when the background tree 128B is shaken by the wind or the like, it is difficult to extract the region of the gas cloud, which makes detection of the gas cloud even more difficult. Therefore, when the tree 128B is included in the background of the gas cloud, there is a high possibility of erroneously detecting the gas cloud. As a result, the monitoring area creation unit 163 excludes the pipe 127 as the gas leakage source with the tree 128B as the background from the monitoring setting area as the false detection area 128 (see FIG. 1).

Based on the erroneous detection factor model 131, the calculation unit 164 calculates changes in the display data of the gas cloud background in the effective monitoring area, which is the monitoring setting area visible from the camera 10. FIG. Here, the erroneous detection factor model 131 is environmental information (sun position, ground, climate) that changes over time. Also, the change in the display data of the background of the gas leak source is the change in the visible image that serves as the background of the gas leak source. A change in the display data of the gas cloud background is a change in the infrared image that forms the background of the gas cloud.

The operator uses the input unit 140 to set the installation location, the number of cameras 10 (visible light camera 10A, infrared camera 10B), the model (fixed type, pan-tilt type), the operation schedule of the pan-tilt type camera, the monitoring direction, and the like. is entered by

FIG. 6 shows an image of the gas cloud background in the active surveillance area as seen from the left camera 10 in FIG. FIG. 7 shows an image of the gas cloud background in the active surveillance area as seen from the right camera 10 in FIG.

The display unit 150 displays changes in the background image (visible image) of the gas leak source and the background image (infrared image) of the gas cloud in the effective monitoring area visible from the camera 10 provided at the installation position (Fig. 6). and FIG. 7). In addition, the display unit 150 displays an image of the gas leak source (predetermined visible image of the gas leak source model), an image 129 of the gas cloud (previously Infrared image of the defined gas cloud model) is displayed. In addition, the display unit 150 displays an erroneous detection area 128 as shown in FIGS. 6 and 7. FIG. By displaying the false detection area 128 , it is possible to present to the customer that it is meaningful to consider the necessity of installing surveillance equipment other than the camera 10 .

Next, processing of the environment model 130 and the like in the simulation device 100 will be described with reference to FIG. FIG. 8 is a flowchart showing processing of the environment model 130 and the like in the simulation device 100. As shown in FIG. Note that this processing includes processing for generating the structure model 120 and the environment model 130, but if the structure model 120 and the environment model 130 are stored in advance in the storage unit 110, the structure model 120 can be generated. It is not necessary to include processing for generating such as.

In step S100, the structure model generation unit 101 generates the structure model 120 based on the information regarding the structure of the plant. Storage unit 110 stores structure model 120 .

In step S110, the environmental model generator 102 generates the environmental model 130 based on the environmental information of the structure. Storage unit 110 stores environment model 130 .

In step S120, the erroneous detection factor model generation unit 103 generates the erroneous detection factor model 131 that affects gas cloud detection. The storage unit 110 stores an erroneous detection factor model 131 .

In step S<b>130 , the gas cloud generation area setting unit 161 uses the input unit 140 to set a gas cloud generation possibility area (plurality of pipes 127 ). The storage unit 110 stores a gas cloud generation possibility area.

In step S<b>140 , the operator uses the input unit 140 to set the risk of gas cloud generation.

In step S150, the monitoring area creation unit 163 creates a monitoring setting area based on the erroneous detection factor model 131, the gas cloud occurrence possibility area, and the degree of risk.

In step S160, the operator uses the input unit 140 to input the installation positions of the cameras 10 (visible light camera 10A, infrared camera 10B).

In step S170, the display unit 150 displays the effective monitoring area visible from the camera 10 provided at the installation position. At this time, the display unit 150 displays the gas cloud in the gas cloud occurrence possibility area.

According to the simulation apparatus 100 in the above embodiment, the environment model 130 including the display data for schematically displaying the environment that changes with the passage of time is stored, and the structure of the plant provided in the environment is schematically displayed. A storage unit 110 that stores a structure model 120 including display data for displaying the environment model 130 and a display unit 150 that displays the environment model 130 and the structure model 120 are provided. As a result, the structure model 120 that takes into account the environmental information of the structure is displayed, so that monitoring information that meets the customer's needs can be presented.

In addition, a gas cloud generation area setting unit 161 that sets a gas cloud generation possibility area (pipe 127), which is an area in which a gas cloud may occur, and an error that affects the detection of a gas cloud that may occur from a structure. A monitoring area creation unit 163 that creates a monitoring setting area based on the detection factor model 131 and the gas cloud occurrence possibility area is provided. As a result, it is possible to increase the effectiveness of monitoring by daringly excluding areas that are subject to erroneous detection from the monitoring targets.

Also, the monitoring area creating unit 163 creates a monitoring setting area based on the degree of danger. As a result, it is possible to preferentially monitor an area with a high degree of danger, so that the effectiveness of monitoring can be further enhanced.

Further, an input unit 140 for inputting the installation position of the camera 10 is provided, and the display unit 150 displays the effective monitoring area visible from the camera 10 provided at the installation position. The effective monitoring area includes the gas cloud potential area (pipe 127), the false detection area 128, and the image 129 of the gas cloud. This makes it possible to consider what the gas cloud looks like to the camera 10 . In addition, it is possible to examine the presence or absence of the influence of the surrounding environment, etc. on gas cloud detection.

Next, a simulation device 100A in a modified example will be described. In addition, in the description of the modification, the configuration different from that of the simulation apparatus 100 in the above embodiment will be mainly described, and the description of the same configuration will be omitted.

In simulation device 100 in the above embodiment, the operator determines the installation position of camera 10 (visible light camera 10A, infrared camera 10B) using input unit 140, but simulation device 100A in the modification automatically stipulated in

FIG. 9 is a diagram schematically showing part of the simulation device 100A. As shown in FIG. 9, the setting calculation unit 160A in the simulation device 100A includes a camera position setting unit 165, a position candidate extraction unit 166, and an effective position calculation unit 167.

The camera position setting unit 165 sets the installation position of the camera 10 based on predetermined conditions. Specifically, the predetermined condition is that the installation positions of the cameras 10 are provided at predetermined intervals (for example, 1 m) from each other along the pipe 127 .

The position candidate extraction unit 166 extracts installation position candidates for the camera 10 from the installation position of the camera 10 based on the effective monitoring area and blind spot area visible from the camera 10 provided at the installation position. Here, the blind spot area is an area that cannot be seen from the camera 10, and is obstructed by the structure model 120 on the front side of the camera 10 in the optical axis direction (lower side of the paper surface shown in FIG. 1). This refers to the area where the gas cloud on the far side (upper side of the paper surface shown in FIG. 1) cannot be detected. Specifically, the position candidate extraction unit 166 extracts the installation position candidates in order of the size of the effective monitoring area excluding the blind spot area.

The effective position calculation unit 167 calculates, from among the installation position candidates, effective positions such that the cost effectiveness is high and the coverage rate of the monitoring setting area is high. The display unit 150 displays the effective monitoring area visible from the cameras 10 (visible light camera 10A, infrared camera 10B) provided at effective positions. Here, cost-effectiveness refers to the size of the effective monitoring area relative to the installation cost of the camera 10 . Also, the coverage ratio of the monitoring setting area refers to the ratio of the effective monitoring area visible from the camera 10 provided at the installation position candidate to the entire planned monitoring setting area (for example, the length of the pipe 127).

Next, processing of the environment model 130 and the like in the simulation device 100A in the modified example will be described with reference to FIG. FIG. 10 is a flowchart showing processing of the environment model 130 and the like in the simulation device 100A in the modification. In addition, in the explanation of this process, mainly the process different from the above embodiment will be explained, and the explanation of the same process will be omitted.

Each process in step S200 to step S250 is the same as step S100 to step S150 in the above embodiment.

In step S<b>260 , the camera position setting section 165 sets the installation position of the camera 10 .

In step S270, the position candidate extraction unit 166 extracts installation position candidates for the camera 10 based on the monitoring setting area and the blind spot area.

In step S280, the effective position calculation unit 167 calculates the effective position based on the cost effectiveness and the coverage ratio of the monitoring setting area.

In step S290, the display unit 150 displays the effective monitoring area visible from the camera 10 provided at the effective position.

According to the simulation device 100A in the modified example, the camera position setting unit 165 for setting the installation position of the camera 10, the effective monitoring area visible from the camera 10 provided at the installation position, and the gas cloud seen from the camera 10 are detected. A position candidate extraction unit 166 that extracts installation position candidates for the camera 10 from the installation positions of the camera 10 based on blind spot areas that cannot a portion 167; This makes it possible to automatically select the optimum installation position of the camera 10 . In addition, it is possible to calculate the optimum number of cameras 10 and the cost required for installing the cameras 10 and the like.

In the above-described embodiment and modification, the monitoring area creation unit 163 creates a monitoring setting area based on the false detection factor model 131, the gas cloud occurrence possibility area (pipe 127), and the degree of danger. For example, instead of the erroneous detection factor model 131 or the like, or in addition to the erroneous detection factor model 131 or the like, the monitoring area creation unit 163 may generate a difference between the gas cloud temperature and the background temperature (detectability ), a monitoring setting area may be created by prioritizing the magnitude of the difference. The greater the difference between the temperature of the gas cloud and the temperature of the background, the lower the possibility of erroneous detection of the gas cloud, so the accuracy of gas cloud detection can be improved.

In the above-described embodiment, the infrared image that is superimposed on the visible image and used is acquired from environmental information, for example, but the present invention is not limited to this. For example, an image corresponding to an infrared image (corresponding to an infrared image) may be obtained from a visible image.

An example of a method for acquiring an infrared image equivalent from a visible image will be described below. First, a color image obtained from a visible light camera is converted into a monochrome image (luminance information). Next, add the temperature information from the heat source to the monochrome image as luminance information by increasing the luminance where the temperature rises due to exposure to a heat source such as the sun and lowering the luminance where the temperature does not rise due to exposure to the heat source. do. Reference temperature information suitable for the environment model 130 is added as luminance information to the added monochrome image. Next, in order to make this monochrome image an image close to a realistic infrared image, the histogram indicating the luminance distribution of the monochrome image is adjusted.

In the above-described embodiment, a plant for liquefying natural gas was taken as an example of a plant to which the simulation device 100 of the plant monitoring system is applied. It can be applied to any plant as long as it has a possibility of gas leakage, such as a plant where gas leakage occurs.

The disclosure contents of the specification, drawings, and abstract included in the Japanese application of Japanese Patent Application No. 2018-042083 filed on March 8, 2018 are incorporated herein by reference.

In addition, the above-described embodiments are merely examples of specific implementations of the present invention, and the technical scope of the present invention should not be construed to be limited by these. Thus, the invention may be embodied in various forms without departing from its spirit or essential characteristics.

10 camera 10A visible light camera 10B infrared camera 100, 100A simulation device 101 structure model generator 102 environment model generator 103 false detection factor model generator 110 storage unit 120 structure model 121 receiver tank 122 service tank 123 molecular sieve tower 124 Activated carbon tower 125 Regenerated gas heater 126 Regenerated gas cooling tower 127 Piping 128 False detection area 128A Wall surface 128B Tree 130 Environmental model 131 False detection factor model 140 Input unit 150 Display unit 160, 160A Setting calculation unit 161 Gas cloud generation area setting unit 162 Danger Degree setting unit 163 Surveillance area creation unit 164 Calculation unit 165 Camera position setting unit 166 Position candidate extraction unit 167 Effective position calculation unit 171 Structure information acquisition unit 172 Environment information acquisition unit

Claims (11)

an environment model generation unit that generates an environment model including display data for schematically displaying an environment that changes over time;
a structure model generation unit that generates a structure model including display data for schematically displaying a structure of a plant provided in the environment;
a display unit that displays the environment model generated by the environment model generation unit and the structure model generated by the structure model generation unit ;
wherein the environment model has a false positive factor model that affects detection of gas clouds that may originate from the structure ;
Simulation device for plant monitoring system. a gas cloud generation area setting unit that sets a gas cloud generation possibility area, which is an area in which the gas cloud may occur;
a monitoring area creation unit that creates a monitoring setting area for monitoring the gas cloud based on the false detection factor model and the gas cloud occurrence possibility area;
A simulation device for a plant monitoring system according to claim 1 . further comprising a risk level setting unit that sets a risk level indicating a possibility that the gas cloud will occur in the gas cloud generation possibility area;
The monitoring area creation unit further creates the monitoring setting area based on the degree of risk.
A simulation apparatus for a plant monitoring system according to claim 2 . Equipped with a camera position input unit for inputting the installation position of the camera,
The display unit displays an effective monitoring area, which is the monitoring setting area visible from the camera provided at the installation position.
A simulation device for a plant monitoring system according to claim 2 or 3 . a camera position setting unit that sets the installation position of the camera based on a predetermined condition;
The installation position of the camera from the installation position of the camera based on an effective monitoring area, which is a monitoring setting area visible from the camera provided at the installation position, and a blind spot area where the gas cloud cannot be detected when viewed from the camera. and a position candidate extraction unit that extracts candidates,
A simulation device for a plant monitoring system according to claim 2 or 3 . an effective position calculation unit for calculating, from among the installation position candidates, an effective position that indicates the size of the effective monitoring area relative to the installation cost of the camera and that provides a high cost-effectiveness;
The simulation device for the plant monitoring system according to claim 5 . an effective position calculation unit that calculates an effective position such that the monitoring setting area has a high coverage rate from among the installation position candidates;
A simulation device for a plant monitoring system according to claim 5 or 6 . The display unit displays an effective monitoring area, which is the monitoring setting area visible from the camera provided at the effective position.
A simulation device for a plant monitoring system according to claim 6 or 7 . The display unit displays an image of the gas cloud in the gas cloud occurrence possibility area in the effective monitoring area.
A simulation device for a plant monitoring system according to any one of claims 4 to 8 . a calculation unit that calculates a change in display data of the background of the gas cloud in the effective monitoring area based on the false detection factor model;
The display unit displays changes in display data of the background of the gas cloud in the effective monitoring area.
A simulation device for a plant monitoring system according to any one of claims 4 to 9 . The image in the effective monitoring area has an infrared image equivalent, which is an image equivalent to an infrared image,
wherein the infrared image equivalent is obtained from a visible image;
A simulation device for a plant monitoring system according to claim 4 or 8 .

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