JPWO2019171777A1 - Plant monitoring system simulation device - Google Patents

Abstract

The simulation device of the plant monitoring system can present monitoring information that meets the needs of customers, and is an environmental model that includes display data for schematically displaying an environment that changes over time. A structure model generation unit that generates an environment model that generates a structure model that includes display data for schematically displaying the structure of a plant provided in the environment, and an environment generated by the environment model generation unit. A display unit for displaying the structure model generated by the model and the structure model generation unit is provided.

Description

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

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

Further, in Patent Document 2, the operator can easily grasp the state of the plant by displaying the actual equipment constituting the plant equipment as a three-dimensional image according to the shape and arrangement of the actual equipment. A display system that can be disclosed.

Japanese Unexamined Patent Publication No. 2017-97822 Japanese Unexamined Patent Publication No. 6-175626

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

However, the display system according to Patent Documents 1 and 2 has a problem that the image of the structure model in which the environmental information in which the structure is provided is added is not displayed.

An object of the present invention is to provide a simulation device for a plant monitoring system capable of presenting monitoring information that meets customer needs.

In order to achieve the above object, the simulation device of the plant monitoring system in the present invention is used.
An environment model generator that generates an environment model that includes display data for schematically displaying an environment that changes with the passage of time.
A structure model generation unit that generates a structure model including display data for schematically displaying the structure of the plant provided in the environment.
It includes the environment model generated by the environment model generation unit and a display unit for displaying the structure model generated by the structure model generation unit.

According to the present invention, it is possible to present monitoring information that meets the needs of customers.

A diagram schematically showing an example of a structure model that imitates a plant structure. The figure which shows schematic structure of the simulation apparatus of the plant monitoring system in embodiment of this invention. Diagram to explain the principle of gas cloud detection Diagram showing an example of false positive factor model Diagram showing an example of false positive factor model The figure which shows the background image of the gas cloud in the effective monitoring area seen from the camera on the left side in FIG. The figure which shows the background image of the gas cloud in the effective monitoring area seen from the camera on the right side in FIG. Flow chart showing the processing of the environment model etc. in the simulation device A diagram schematically showing a part of the configuration of the simulation device of the plant monitoring system in the modified example. Flow chart showing the processing of the environment model etc. in the simulation device

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 that imitates a structure of a plant. The structure model 120 has, for example, display data for schematically displaying the structure of a plant for purifying and liquefying natural gas. 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 it easier to see the plurality of pipes 127, the pipes 127 are represented by different line types (solid line, broken line) in FIG. Further, FIG. 1 shows a camera 10 provided at a virtual position.

FIG. 2 is a diagram schematically showing the configuration of the simulation device 100 of the plant monitoring system according to the embodiment of the present invention. As shown in FIG. 2, the simulation device 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, and the like. It includes a setting calculation unit 160, a structure information acquisition unit 171 and an environment information acquisition unit 172. 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 a speaker, and these are connected to each other via a bus. The CPU is a control circuit composed of a microprocessor or the like that controls each of the above parts and executes various arithmetic processes according to a program. The functions of the above-mentioned parts of the simulation device 100 are exhibited by the CPU executing a program corresponding to the functions. The ROM has, for example, a non-volatile semiconductor memory or a large-capacity magnetic disk device, and stores three-dimensional data, content data, and a control processing program.

The structure information acquisition unit 171 acquires information (for example, photographs, map information) related to the structure of the plant.

The environmental information acquisition unit 172 acquires on-site inspections, aerial photographs / artificial satellite images, and environmental information from people at the site. Environmental information is year-round information. Specifically, the environmental information includes environmental information that affects the detection of gas clouds that may be generated (leaked) from the structure. Furthermore, specifically, the environmental information includes the surrounding environment and the natural environment of the structure. The surrounding environment includes the sea, roads, railroad tracks, surrounding factories, thickets, mountains, and trees and ground (asphalt, lawn, soil, sand (dust)) on the plant premises. The natural environment includes sunlight (brightness, temperature), climate, and meteorological information (fog, rain, snow, wind).

The structure model generation unit 101 generates the structure model 120 based on the information about the structure of the plant. The structure model generation unit 101 extracts parameters (shooting position, shooting direction) of the camera 10 (visible light camera 10A, infrared camera 10B shown in FIG. 1) used for shooting from the information of the photograph. The structure model generation unit 101 generates a three-dimensional structure model 120 from photographs taken from different directions and parameters of the camera 10. The storage unit 110 stores the 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. The storage unit 110 stores the environment model 130. In the present embodiment, in order to make the following explanation easier to understand, sunlight, the ground, and climate will be described as an example of the environmental model 130.

The environment model generation unit 102 has a false positive factor model generation unit 103. The false positive factor model generation unit 103 generates a false positive factor model 131 that affects the detection of gas clouds that may be generated (leaked) from the structure. The storage unit 110 stores the false positive factor model 131.

The false positive factor model 131 includes the brightness of the visible image of the background of the gas leak source (gas generating section, for example, piping 127). Specifically, the brightness of the visible image of the background of the gas leak source is sunlight, artificial light source, sea, solar reflected light in buildings, gas-like phenomena (water vapor, clouds), dust, swaying trees and lawn. Each includes the brightness of the visible image that is the background of the gas leak source. In the visible image, the gas cloud to be detected such as methane cannot be seen. Therefore, the visible image is used by superimposing it on the infrared image in order to make the gas leak source easy to understand. The visible image of the gas leak source (gas generating portion) is a predetermined visible image of the gas leak source model. Further, the brightness of the visible image of the gas leak source is a predetermined brightness.

In the present embodiment, the infrared camera 10B for detecting the gas cloud is not provided. 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. The gas cloud absorbs some of the infrared radiation emitted depending on the temperature of the background. FIG. 3 shows the amount of infrared rays radiated from the background V (Tb), the amount of infrared rays absorbed by the gas cloud as αV (Tb), and the amount of infrared rays radiated from the gas cloud V (Tg). Here, V (T) is the blackbody radiance at the absolute temperature T (K).

The gas cloud has an infrared amount V (Tb) radiated from the background, an infrared amount (1-α) V (Tb) radiated from the background and transmitted through the gas cloud, and an infrared amount V (Tg) radiated from the gas cloud. ) Is detected based on the difference from the total amount. Therefore, the range of gas cloud detection includes a background temperature image which is an image based on the infrared ray amount V (Tb) and a gas cloud which is an image based on the infrared ray amount ((1-α) V (Tb) + V (Tg)). It is defined as an image extracted from 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 (heat information) of the infrared image of the background of the gas cloud is the brightness (heat information) of the infrared image with sunlight, an artificial light source, and an artificial heat source as the background, and the background whose temperature changes due to wind. Includes the brightness (thermal information) of the infrared image of. If the difference between the brightness (thermal information) of the infrared image of the background of the gas cloud and the brightness (thermal information) of the infrared image of the gas cloud is less than or equal to a predetermined threshold value, the gas cloud may be erroneously detected. .. The infrared image of the gas cloud is an infrared image of a predetermined gas cloud model. Further, 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 a region where a gas cloud may be generated. Specifically, the gas cloud generation area setting unit 161 sets the pipe 127 as a gas cloud generation possibility area. The input unit 140 is used to set the gas cloud generation possibility area. The storage unit 110 stores the gas cloud generation possibility area. In order to make the following explanation easier to understand, the pipe 127 will be described as an example of the gas cloud generation possibility area.

The risk level setting unit 162 sets the risk level indicating the high possibility that a gas cloud will be generated in the gas cloud generation possibility area (plural pipes 127) based on a predetermined condition. The input unit 140 is used to set the degree of risk. Predetermined conditions include, for example, useful life (life), actual years of use, material (material for piping 127), purpose of use (type of gas), installation status of piping 127 (outdoor, indoor), corrosion status, etc. And the deterioration state is included. The storage unit 110 stores the degree of danger.

The monitoring area creation unit 163 creates a monitoring setting area for monitoring the gas cloud based on the false positive factor model 131, the gas cloud generation possibility area (plural pipes 127), and the degree of danger. In the present embodiment, in order to make the following explanation easy to understand, the risk level setting unit 162 sets the gas cloud generation possibility area (plurality of pipes 127) to the same risk level. When the risk setting unit 162 sets a plurality of pipes 127 to different danger levels, the monitoring area creation unit 163 creates a monitoring setting area based on the high risk pipe 127.

Next, the false positive factor model 131 will be described with reference to FIGS. 4 and 5.
An example of the false positive 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 an infrared camera 10B provided at a virtual position. In addition, the wall surface 128A of the building is shown as a place not exposed to sunlight. When the temperatures of the wall surface 128A and the gas cloud, which are not exposed to sunlight, are almost the same, the difference in brightness (thermal information) between the infrared image of the gas cloud and the infrared image of the wall surface 128A becomes small. .. As a result, it becomes difficult to detect the gas cloud, and the gas cloud may be erroneously detected. When the difference in brightness (thermal 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 has a gas leak source with the wall surface 128A as the background. The pipe 127 as a false detection area 128 (see FIG. 1) is excluded from the monitoring setting area.

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

The calculation unit 164 calculates the change in the display data of the background of the gas cloud in the effective monitoring area, which is the monitoring setting area visible from the camera 10, based on the false positive factor model 131. Here, the false positive factor model 131 is environmental information (position of the sun, ground, climate) that changes with the passage of time. Further, the change in the display data of the background of the gas leak source is a change in the visible image which is the background of the gas leak source. Further, the change in the display data of the background of the gas cloud is a change in the infrared image which is the background of the gas cloud.

The operator uses the input unit 140 for the installation location, number of units, model (fixed type, pan-tilt type), operation schedule of the pan-tilt type camera, monitoring direction, etc. of the camera 10 (visible light camera 10A, infrared camera 10B). Is input by.

FIG. 6 is a diagram showing an image of the background of the gas cloud in the effective monitoring area seen from the camera 10 on the left side in FIG. FIG. 7 is a diagram showing an image of the background of the gas cloud in the effective monitoring area seen from the camera 10 on the right side 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 seen from the camera 10 provided at the installation position (FIG. 6). And see Figure 7). Further, the display unit 150 displays a gas leak source image (a predetermined visible image of the gas leak source model) and a gas cloud image 129 (in advance) in the gas cloud generation possibility area (pipe 127) in the effective monitoring area. Infrared image of the defined gas cloud model) is displayed. Further, the display unit 150 displays the false detection area 128 as shown in FIGS. 6 and 7. By displaying the false positive area 128, it is possible to show the customer that it is meaningful to consider the necessity of installing a monitoring device other than the camera 10.

Next, the 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. This process includes the process of generating the structure model 120 and the environment model 130. If the structure model 120 and the environment model 130 are stored in the storage unit 110 in advance, the structure model 120 Etc. may not be included in the process of generation.

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

In step S110, the environment model generation unit 102 generates the environment model 130 based on the environment information of the structure. The storage unit 110 stores the environment model 130.

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

In step S130, the gas cloud generation area setting unit 161 sets the gas cloud generation possibility area (plurality of pipes 127) by using the input unit 140. The storage unit 110 stores the gas cloud generation possibility area.

In step S140, the operator uses the input unit 140 to set the risk level at which a gas cloud is generated.

In step S150, the monitoring area creation unit 163 creates a monitoring setting area based on the false positive factor model 131, the gas cloud generation possibility area, and the risk level.

In step S160, the operator inputs the installation position of the camera 10 (visible light camera 10A, infrared camera 10B) using the input unit 140.

In step S170, the display unit 150 displays an effective monitoring area that can be seen from the camera 10 provided at the installation position. At this time, the display unit 150 displays the gas cloud in the gas cloud generation possibility area.

According to the simulation device 100 in the above embodiment, the environment model 130 including the display data for displaying the environment that changes with the passage of time is stored, and the structure of the plant provided in the environment is modeled. A storage unit 110 for storing the structure model 120 including display data for displaying the environment model 130 and a display unit 150 for displaying the environment model 130 and the structure model 120 are provided. As a result, the structure model 120 including the environmental information in which the structure is provided is displayed, so that it is possible to present monitoring information that meets the needs of the customer.

In addition, the gas cloud generation area setting unit 161 that sets the gas cloud generation possibility area (pipe 127), which is an area where the gas cloud may be generated, and the error that affects the detection of the gas cloud that may be generated from the structure. It includes a detection factor model 131 and a monitoring area creation unit 163 that creates a monitoring setting area based on a gas cloud generation possibility area. As a result, it is possible to enhance the effectiveness of monitoring by intentionally excluding areas that are erroneously detected from the monitoring target.

In addition, the monitoring area creation unit 163 creates a monitoring setting area based on the degree of risk. As a result, it is possible to preferentially monitor areas with a high degree of risk, 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 an effective monitoring area that can be seen from the camera 10 provided at the installation position. The effective monitoring area includes a gas cloud generation possibility area (pipe 127), a false detection area 128, and a gas cloud image 129. This makes it possible to examine what the gas cloud looks like with the camera 10. In addition, it is possible to examine whether or not there is an influence of the surrounding environment on the detection of gas clouds.

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

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

FIG. 9 is a diagram schematically showing a 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, a predetermined condition is that the camera 10 is installed at a predetermined interval (for example, 1 m) along the pipe 127.

The position candidate extraction unit 166 extracts the installation position candidate of the camera 10 from the installation position of the camera 10 based on the effective monitoring area and the blind spot area that can be seen 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 the structure model 120 on the front side in the optical axis direction of the camera 10 (lower side of the paper surface shown in FIG. 1) interferes with the optical axis direction. The area on the back side (upper side of the paper shown in FIG. 1) where gas clouds cannot be detected. Specifically, the position candidate extraction unit 166 extracts installation position candidates in the order of the size of the effective monitoring area excluding the blind spot area.

The effective position calculation unit 167 calculates an effective position from among the installation position candidates so that the cost effectiveness is high and the coverage rate of the monitoring setting area is high. The display unit 150 displays an effective monitoring area that can be seen from the cameras 10 (visible light camera 10A, infrared camera 10B) provided at effective positions. Here, the cost-effectiveness means the size of the effective monitoring area with respect to the installation cost of the camera 10. The coverage rate of the monitoring setting area refers to the ratio of the effective monitoring area visible from the camera 10 provided in the installation position candidate to the total planned monitoring setting area (for example, the length of the pipe 127).

Next, the 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 modified example. In the description of this process, a process different from the above-described embodiment will be mainly described, and the description of the same process will be omitted.

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

In step S260, the camera position setting unit 165 sets the installation position of the camera 10.

In step S270, the position candidate extraction unit 166 extracts the installation position candidate of 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 rate of the monitoring setting area.

In step S290, the display unit 150 displays the effective monitoring area that can be seen 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 that sets the installation position of the camera 10, the effective monitoring area that can be seen from the camera 10 provided at the installation position, and the gas cloud as seen from the camera 10 are detected. The position candidate extraction unit 166 that extracts the installation position candidate of the camera 10 from the installation position of the camera 10 based on the blind spot area that cannot be installed, and the effective position calculation that calculates the effective position having high cost effectiveness from the installation position candidates. It is provided with a unit 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.

In the above-described embodiment and modification, the monitoring area creation unit 163 created the monitoring setting area based on the false detection factor model 131, the gas cloud generation possibility area (pipe 127), and the degree of risk. Not limited to this, for example, the monitoring area creation unit 163 replaces the false positive factor model 131 or the like, or in addition to the false positive factor model 131 or the like, the difference (detectability) between the temperature of the gas cloud and the background temperature. ), The monitoring setting area may be created with priority given to the magnitude of the difference. The larger 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 that the detection accuracy of the gas cloud can be improved.

In the above embodiment, the infrared image used in superposition with the visible image is obtained from, for example, environmental information, 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 acquired from a visible image.

Hereinafter, an example of a method of acquiring an infrared image equivalent from a visible image will be described. First, a color image obtained from a visible light camera is converted into a monochrome image (luminance information). Next, the temperature information from the heat source is added to the monochrome image as the brightness information, such as increasing the brightness where the heat source such as the sun hits and raising the temperature, and lowering the brightness where the heat source does not hit and the temperature does not rise. To do. Reference temperature information suitable for the environmental model 130 is added to the added monochrome image as luminance information. Next, in order to make this monochrome image close to a realistic infrared image, a histogram showing the brightness distribution of the monochrome image is adjusted.

Further, in the above embodiment, as an example of a plant to which the simulation device 100 of the plant monitoring system is applied, a plant that liquefies natural gas is given as an example, but the present invention is not limited to this, and for example, liquefied natural gas is vaporized. It can be applied to any plant that has a possibility of gas leakage, such as a plant that operates.

All disclosures of the specification, drawings and abstract contained 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 embodiments are merely examples of embodiment of the present invention, and the technical scope of the present invention should not be construed in a limited manner by these. That is, the present invention can be implemented in various forms without departing from its gist or its main features.

10 Camera 10A Visible light camera 10B Infrared camera 100, 100A Simulation device 101 Structure model generator 102 Environmental model generator 103 False positive factor model generator 110 Storage unit 120 Structure model 121 Receiver tank 122 Service tank 123 Molecular sieve tower 124 Activated coal 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 Monitoring 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 Environmental information acquisition unit

Claims (12)

An environment model generator that generates an environment model that includes display data for schematically displaying an environment that changes with the passage of time.
A structure model generation unit that generates a structure model including display data for schematically displaying the structure of the plant provided in the environment.
It includes the environment model generated by the environment model generation unit and a display unit for displaying the structure model generated by the structure model generation unit.
Simulation equipment for plant monitoring system. The environmental model has a false positive factor model that affects the detection of gas clouds that can be generated from the structure.
The simulation apparatus for the plant monitoring system according to claim 1. A gas cloud generation area setting unit that sets a gas cloud generation possibility area, which is a region where the gas cloud may be generated, and a gas cloud generation area setting unit.
A monitoring area creation unit for creating a monitoring setting area for monitoring the gas cloud based on the false positive factor model and the gas cloud generation possibility area is further provided.
The simulation apparatus for the plant monitoring system according to claim 2. Further, a risk setting unit for setting a risk indicating the high possibility that the gas cloud is generated in the gas cloud generation possibility area is provided.
The monitoring area creation unit further creates the monitoring setting area based on the risk level.
The simulation apparatus for the plant monitoring system according to claim 3. Equipped with a camera position input unit for inputting the camera installation position
The display unit displays an effective monitoring area, which is a monitoring setting area that can be seen from the camera provided at the installation position.
The simulation apparatus for the plant monitoring system according to claim 3 or 4. A camera position setting unit that sets the camera installation position based on predetermined conditions,
Based on the effective monitoring area, which is a monitoring setting area that can be seen from the camera, provided at the installation position, and the blind spot area where the gas cloud cannot be detected when viewed from the camera, the camera installation position can be determined from the camera installation position. A position candidate extraction unit for extracting candidates is further provided.
The simulation apparatus for the plant monitoring system according to claim 3 or 4. It is provided with an effective position calculation unit that calculates an effective position that is cost-effective to indicate the size of the effective monitoring area with respect to the camera installation cost from the installation position candidates.
The simulation apparatus for the plant monitoring system according to claim 6. It is provided with an effective position calculation unit that calculates an effective position from among the installation position candidates so that the coverage rate of the monitoring setting area is high.
The simulation apparatus for the plant monitoring system according to claim 6 or 7. The display unit displays an effective monitoring area, which is a monitoring setting area that can be seen from the camera provided at the effective position.
The simulation apparatus for a plant monitoring system according to any one of claims 6 to 8. The display unit displays an image of a gas cloud in the gas cloud generation possibility area in the effective monitoring area.
The simulation apparatus for a plant monitoring system according to any one of claims 5 to 9. A calculation unit for calculating a change in the display data of the background of the gas cloud in the effective monitoring area based on the false positive factor model is provided.
The display unit displays changes in the display data of the background of the gas cloud in the effective monitoring area.
The simulation apparatus for a plant monitoring system according to any one of claims 5 to 10. The image in the effective monitoring area has an infrared image equivalent, which is an image corresponding to an infrared image, and has an infrared image equivalent.
The infrared image equivalent is obtained from the visible image.
The simulation apparatus for the plant monitoring system according to claim 5 or 9.

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