JP7047638B2 - Image processing device for gas visualization, image processing method for gas visualization, image processing program for gas visualization, and gas detection system - Google Patents

Description

The present invention relates to a technique for detecting gas using an image.

Gas detection using an infrared camera designed to be sensitive to the wavelength band of light absorbed by the gas to be inspected (for example, methane) is known. For example, Patent Document 1 includes an infrared camera that captures an inspection target area and an image processing unit that processes an infrared image captured by the infrared camera, and the plurality of image processing units are arranged in chronological order. Discloses a gas leak detection device having a fluctuation extraction unit that extracts dynamic fluctuations due to gas leaks from an infrared image of the above.

In the present specification, a method of performing image processing for visualizing gas on an image in a monitoring area and detecting gas as in the gas leak detection device disclosed in Patent Document 1 is described as image-type gas detection. , Other than image-type gas detection is described as non-image-type gas detection. There are various methods for non-imaging gas detection (for example, contact combustion type, semiconductor type, electrochemical type).

According to Japanese law, it is obligatory to install a stationary gas detector in facilities that handle gas. Stationary gas detectors are installed, for example, in gas pipes at predetermined intervals.

The image-type gas detection device has a feature that the leak location and the leakage range of the gas can be visualized, but at present, the cost is higher than that of the non-image-type gas detection device. For this reason, in facilities that handle gas, a non-image type gas detection device is often installed as a stationary gas detection device.

Japanese Unexamined Patent Publication No. 2012-58093

The image-based gas detector can visualize even a small amount of gas leak when the sensitivity of gas detection is set high. However, if the sensitivity of gas detection is high, disturbance noise is also visualized, so that false detections increase. The image-type gas detection device can suppress the visualization of disturbance noise when the sensitivity of gas detection is set low, and as a result, false detection can be prevented. However, since a small amount of gas leak is not visualized, gas cannot be detected when the gas leak is small.

The present invention provides an image processing device for gas visualization, an image processing method for gas visualization, an image processing program for gas visualization, and a gas detection system that can visualize gas even if the amount of gas leakage is small while preventing false detection. The purpose is to provide.

The image processing device for gas visualization according to the first aspect of the present invention that achieves the above object is an image processing device for gas visualization that visualizes the gas leaking to the monitoring area, and is an image processing device for gas visualization that is photographed by the photographing device. By performing image processing that visualizes gas on the image, the image processing unit that generates the visualized image and the sensitivity of gas detection can be set, and when the sensitivity is set to be high, in the image processing. When the gas is easily visualized and the sensitivity is set to be low, the gas is difficult to be visualized in the image processing, and when the non-image type gas detection device installed in the monitoring area detects the gas, It includes a sensitivity setting unit that sets the sensitivity higher than before the detection, and an image output unit that outputs the visualization image generated by the image processing unit under the sensitivity setting.

Non-image type gas detection has high gas detection sensitivity, but there are many false detections, and it is not possible to specify the gas leakage position and leakage range. On the other hand, the image-type gas detection can specify the leak position and the leak range of the gas. Therefore, a method in which non-image type gas detection and image type gas detection are used in combination can be considered (combination type gas detection). The present invention is premised on combined gas detection.

When the non-image type gas detection device detects gas, the sensitivity setting unit sets the sensitivity of gas detection higher than that before the detection. As a result, the sensitivity setting unit sets the sensitivity of gas detection to a relatively low level before the non-image type gas detection device detects gas, and after the non-image type gas detection device detects gas, the gas detection is performed. The sensitivity will be set relatively high.

Since the sensitivity of gas detection is set to be relatively low before the non-image type gas detection device detects gas, the image processing unit can suppress the visualization of disturbance noise when generating the visualization image. .. Therefore, the gas leak determination device (the gas leakage determination device may be included in the gas visualization image processing device or may be a device different from the gas visualization image processing device) is based on the visualization image. When it is determined whether or not it is a leak, it is possible to prevent an error (false positive) in this determination.

When a non-image type gas detection device detects gas, there is a possibility of gas leakage, so the sensitivity of gas detection is set to be relatively high. As a result, the image processing unit can visualize the gas even with a small amount of gas leakage when generating the visualized image, but there is a possibility that the disturbance noise is also visualized. Therefore, if the gas leak determination device determines whether or not the gas leak is based on the visualized image, it may be determined as a gas leak even though it is not a gas leak (false detection). Therefore, the image output unit outputs a visualized image so that the user can determine whether or not there is a gas leak by looking at the visualized image.

As described above, according to the image processing apparatus for gas visualization according to the first aspect of the present invention, it is possible to visualize gas even if the amount of gas leakage is small while preventing erroneous detection.

In the above configuration, the image processing unit considers a pixel having a value larger than a predetermined threshold value as a pixel constituting a gas image, and a pixel having a value equal to or lower than the threshold value as a pixel not constituting the gas image. Assuming that, the visualization image is generated, and when the non-image type gas detection device detects gas, the sensitivity setting unit sets the threshold value lower than that before the detection, thereby detecting the gas. The sensitivity is set higher than before.

This configuration is the first example of a method for setting a high sensitivity for gas detection. When set to lower the threshold (ie, when installed with high gas detection sensitivity), gas images can be caused by leaked gas, reflect sunlight, steam leaks. It may also be caused by disturbance noise such as.

In the above configuration, the sensitivity setting unit stores in advance a predetermined value capable of visualizing disturbance noise as the threshold value, and when the non-image type gas detection device detects gas, the threshold value is set. Lower it and set it to the predetermined value.

According to this configuration, the threshold value is lowered to a level where the disturbance noise can be visualized, so that the gas can be visualized even if the gas leakage is extremely small.

In the above configuration, the image processing unit determines the period of the gas candidate image captured in the first image generated by performing predetermined processing on the image in the monitoring area, which is captured in the first image. When the gas candidate image exceeding the value is regarded as a gas image, the visualization image in which the gas image is copied is generated, and the sensitivity setting unit detects gas by the non-image type gas detection device. By setting the predetermined value to be smaller than before the detection, the sensitivity is set higher than before the detection.

This configuration is a second example of a method for setting a high sensitivity for gas detection. A specific example will be described. The image processing unit gas the gas candidate image that is captured for more than 6 seconds (predetermined value) in the first image (moving image, a plurality of images arranged in chronological order) for 10 seconds before gas detection, for example. It is regarded as an image and a visualization image (moving image, multiple images arranged in chronological order) in which a gas image is captured is generated. After detecting the gas, the image processing unit gas the gas candidate image that is captured for more than 4 seconds (predetermined value) in, for example, the first image (moving image, a plurality of images arranged in chronological order) for 10 seconds. It is regarded as an image and a visualization image (moving image, multiple images arranged in chronological order) in which a gas image is captured is generated.

When the predetermined value is set to be small (that is, when the gas detection sensitivity is high and installed), the gas image may be caused by the leaked gas or caused by disturbance noise. There is also.

In the above configuration, when the non-image type gas detection device enters the position information storage unit that stores the position information indicating the position of the shooting range of the photographing device and the non-image type gas detecting device detects gas. Based on the position information, the shooting range determination unit for determining whether or not the non-image type gas detection device is included in the shooting range and the shooting range determination unit are included in the shooting range. With a mechanism control unit that controls the non-image type gas detection device to enter the shooting range with respect to the position change mechanism that can change the position of the shooting range when it is determined that the type gas detection device is not included. , Further prepare.

In this configuration, the shooting range of the shooting device can be changed by a position changing mechanism (for example, a pan-tilt head). When the non-image type gas detector detects gas, there is a possibility that a gas leak has occurred near the non-image type gas detector. At this time, the non-image type gas detection device may not be within the shooting range. According to this configuration, the position of the shooting range can be changed so that the non-image type gas detection device falls within the shooting range.

In the above configuration, a position information storage unit that stores position information indicating the position of the shooting range of the shooting device into which the non-image type gas detection device is inserted, and a shooting schedule of a plurality of shooting ranges having different positions (positions). (According to a shooting schedule for sequentially shooting a plurality of different shooting ranges), a mechanism control unit that controls a position changing mechanism that can change the position of the shooting range and changes the position of the shooting range, and the non-image type When the gas detection device detects gas, a shooting range determination unit that determines whether or not the non-image type gas detection device is included in any of the plurality of shooting ranges based on the position information, and a shooting range determination unit. When the mechanism control unit determines that the non-image type gas detection device is not included in any of the plurality of shooting ranges, the mechanism control unit further comprises the non-image type gas detection device. The shooting range is newly set, and the position changing mechanism is controlled to change the position of the shooting range according to the new shooting schedule including the newly set shooting range.

There is a method of sequentially shooting images in these shooting ranges while changing the position of the shooting range according to the shooting schedule (for example, pan-tilt type). According to this method, even if the monitoring area does not fit in the shooting range, one shooting device can handle it. This configuration presupposes this method.

When the non-image type gas detector detects gas, there is a possibility that a gas leak has occurred near the non-image type gas detector. However, there are cases where the non-image type gas detection device is not included in any of the plurality of shooting ranges. In this case, the mechanism control unit newly sets a shooting range in which the non-image type gas detection device enters, and controls to move the position of the shooting range according to a new shooting schedule including the newly set shooting range. .. Therefore, a shooting range including a non-image type gas detection device that detects gas can be included in a plurality of shooting ranges.

In the above configuration, the sensitivity setting unit has a higher sensitivity than before the detection in the generation of the visualized image of the shooting range including the non-image type gas detection device that has detected the gas among the plurality of shooting ranges. Set high.

In this configuration, when a non-image type gas detection device detects gas, it detects gas in the generation of visualized images of multiple shooting ranges, instead of setting the sensitivity of gas detection higher than before detection. Set the gas detection sensitivity higher than before detection in the generation of the visualization image of the shooting range including the non-image type gas detection device (in the generation of the visualization image of the remaining shooting range, the gas detection sensitivity setting is set. Can not change). According to this configuration, the sensitivity of gas detection is set high for the shooting range where gas may leak, so that gas can be visualized even if the gas leak is small.

The image processing method for gas visualization according to the second aspect of the present invention is an image processing method for gas visualization that visualizes the gas leaking to the monitoring area, and the image processing unit captures the image of the monitoring area of the monitoring area. By performing image processing to visualize gas on an image, it is possible to set an image processing step for generating a visualized image and a sensitivity for gas detection, and when the sensitivity is set to be high, in the image processing. When the gas is easily visualized and the sensitivity is set to be low, the gas is difficult to be visualized in the image processing, and when the non-image type gas detection device installed in the monitoring area detects the gas, A sensitivity setting step in which the sensitivity is set higher than before the detection, an image output step in which the image output unit outputs the visualized image generated in the image processing step under the sensitivity set higher, and an image output step. To prepare for.

When the non-image type gas detection device detects gas, the user may set this setting to make the gas detection sensitivity higher than before the detection, or the sensitivity setting unit automatically sets this setting. You may.

The image processing method for gas visualization according to the second aspect of the present invention defines the image processing apparatus for gas visualization according to the first aspect of the present invention from the viewpoint of the method, and the gas visualization according to the first aspect of the present invention. It has the same effect as the image processing device for use.

The image processing program for gas visualization according to the third aspect of the present invention is an image processing program for gas visualization that visualizes the gas leaking to the monitoring area, and the image processing unit captures the image of the monitoring area of the monitoring area. By performing image processing to visualize gas on an image, it is possible to set an image processing step for generating a visualized image and a sensitivity for gas detection, and when the sensitivity is set to be high, in the image processing. When the gas is easily visualized and the sensitivity is set to be low, the gas is difficult to be visualized in the image processing, and when the non-image type gas detection device installed in the monitoring area detects the gas, A sensitivity setting step in which the sensitivity is set higher than before the detection, an image output step in which the image output unit outputs the visualized image generated in the image processing step under the sensitivity set higher, and an image output step. Let the computer run.

The image processing program for gas visualization according to the third aspect of the present invention defines the image processing apparatus for gas visualization according to the first aspect of the present invention from the viewpoint of the program, and the gas visualization according to the first aspect of the present invention. It has the same effect as the image processing device for use.

The gas detection system according to the fourth aspect of the present invention includes an image processing device for gas visualization according to the first aspect of the present invention and a non-image type gas detection device.

The gas detection system according to the fourth aspect of the present invention defines the image processing device for gas visualization according to the first aspect of the present invention from the viewpoint of the gas detection system, and is for gas visualization according to the first aspect of the present invention. It has the same effect as the image processing device.

According to the present invention, gas can be visualized even if the amount of gas leakage is small, while preventing false detection.

It is a block diagram which shows the structure of the gas detection system which concerns on embodiment. It is a block diagram which shows the hardware composition of the main body part shown in FIG. 1A. It is explanatory drawing explaining the time series pixel data D1. It is an image diagram which shows the infrared image which took the outdoor test place in the time series in the state that the gas leak and the temperature change of the background occur in parallel. It is a graph which shows the temperature change of the point SP1 of a test place. It is a graph which shows the temperature change of the point SP2 of a test place. It is a flowchart explaining the generation process of a surveillance image. In the graph showing the time-series pixel data D1 of the pixels corresponding to the point SP1 (FIG. 3), the low-frequency component data D2 extracted from the time-series pixel data D1, and the high-frequency component data D3 extracted from the time-series pixel data D1. be. It is a graph which shows the difference data D4. It is a graph which shows the difference data D5. It is a graph which shows the standard deviation data D6 and the standard deviation data D7. It is a graph which shows the difference data D8. It is an image diagram which shows image I10, image I11 and image I12 generated based on the frame of time T1. FIG. 3 is an image diagram showing an image I13, an image I14, and an image I15 generated based on a frame at time T2. It is a schematic diagram which shows an example of the infrared image Im0 of the monitoring area of a gas leak. It is a schematic diagram which shows the surveillance image Im1-1 generated based on an infrared image Im0, and the visualization image Im2-1 generated based on this surveillance image Im1-1. It is a schematic diagram which shows the monitoring image Im1-2 generated based on the infrared image Im0, and the visualization image Im2-2 generated based on the monitoring image Im1-2. It is a schematic diagram which shows the surveillance image Im1-2 generated based on the infrared image Im0, and the visualization image Im2-3 generated based on the surveillance image Im1-2. It is a flowchart explaining the operation of embodiment. It is a block diagram which shows the structure of the gas detection system which concerns on the 1st modification. It is explanatory drawing explaining an example of setting information. It is a schematic diagram which shows the example of the photographing range set for each of three gas detection devices. It is explanatory drawing explaining an example of position information. It is a flowchart explaining the operation of the 1st modification. It is a schematic diagram which shows the example which the gas detection device is in the imaging range. It is a schematic diagram which shows the example which the gas detection device is out of the imaging range. It is a block diagram which shows the structure of the gas detection system which concerns on the 2nd modification. It is a schematic diagram which shows the example of the shooting range included in the shooting schedule. It is a flowchart explaining the operation of the 2nd modification. It is a flowchart explaining the creation of a new shooting schedule. It is a schematic diagram which shows the example of the shooting range included in a new shooting schedule.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In each figure, the configurations with the same reference numerals indicate that they are the same configuration, and the description of the configurations already described will be omitted. In the present specification, when they are generically referred to, they are indicated by reference numerals without subscripts (for example, visualization image Im2), and when they refer to individual configurations, they are indicated by reference numerals with subscripts (for example, visualization image Im2). -1).

FIG. 1A is a block diagram showing a configuration of a gas detection system 1 according to an embodiment. The gas detection system 1 includes an infrared camera 2, a main body 3, and a non-image type gas detection device 21 (sometimes referred to as a gas detection device 21).

An image-type gas detection device is configured by the infrared camera 2 and the main body 3. The gas detection system 1 includes one or a plurality of non-image type gas detection devices 21. The gas detection device 21 is installed in a gas leak monitoring area. The gas detection device 21 is a gas detection device of a type other than the image type gas detection device (for example, contact combustion type, semiconductor type, electrochemical type). When the gas detection device 21 detects a gas leak, the gas detection device 21 outputs a gas detection signal GS.

The infrared camera 2 captures a moving image of an infrared image in a gas leak monitoring area and generates a moving image data MD showing the moving image. The data of this infrared image may be a plurality of infrared images captured in time series, and is not limited to moving images. In the monitoring area, there is a gas leak monitoring target (for example, where gas transport pipes are connected to each other). The infrared camera 2 includes an optical system 4, a filter 5, a two-dimensional image sensor 6, a signal processing unit 7, and an input / output port 8.

The optical system 4 forms an infrared image of the subject on the two-dimensional image sensor 6. The filter 5 is arranged between the optical system 4 and the two-dimensional image sensor 6, and allows only infrared rays having a specific wavelength to pass through the light that has passed through the optical system 4. Of the infrared wavelength bands, the wavelength band through which the filter 5 is passed depends on the type of gas to be detected. For example, in the case of methane, a filter 5 that passes through a wavelength band of 3.2 to 3.4 μm is used. The two-dimensional image sensor 6 is, for example, a cooled indium antimonide (InSb) image sensor, and receives infrared rays that have passed through the filter 5. The signal processing unit 7 converts the analog signal output from the two-dimensional image sensor 6 into a digital signal, and performs known image processing. This digital signal becomes the moving image data MD. The input / output port 8 is an interface circuit used for communication with the main body 3, and transmits the moving image data MD to the main body 3.

The main body 3 is a personal computer, a smartphone, a tablet terminal, or the like, and has a control processing unit 11, an input / output port 12, an image processing unit 13, a sensitivity setting unit 14, and a gas leakage determination unit 15 as functional blocks. , A computer device including a display control unit 16, a display 17, and an input unit 18. The main body 3 and the infrared camera 2 may be integrated (the main body 3 and the infrared camera 2 are housed in the same housing), or the main body 3 and the infrared camera 2 are separate, and these are wireless. Alternatively, it may be enabled to communicate by wire.

The control processing unit 11 functions as each unit of the main body 3 (input / output port 12, image processing unit 13, sensitivity setting unit 14, gas leak determination unit 15, display control unit 16, display 17, input unit 18). It is a device for controlling each of them according to the above.

The input / output port 12 is an interface circuit used for communication with the infrared camera 2 and communication with the non-image type gas detection device 21. The input / output port 12 receives the moving image data MD transmitted from the input / output port 8 and the gas detection signal GS transmitted from the gas detection device 21.

The image processing unit 13 performs predetermined processing on the moving image data MD. The predetermined process is, for example, a process of generating time-series pixel data from the moving image data MD.

The time series pixel data will be specifically described. FIG. 2 is an explanatory diagram illustrating the time-series pixel data D1. The moving image represented by the moving image data MD has a structure in which a plurality of frames are arranged in chronological order. In a plurality of frames (a plurality of infrared images), the data in which the pixel data of the pixels at the same position are arranged in time series is referred to as time-series pixel data D1. Let K be the number of frames of the infrared image moving image. One frame is composed of M pixels, that is, the first pixel, the second pixel, ..., the M-1st pixel, and the Mth pixel. Physical quantities such as brightness and temperature are determined based on pixel data (pixel values).

Pixels at the same position in a plurality of (K) frames mean pixels in the same order. For example, when the first pixel is described, the pixel data of the first pixel included in the first frame, the pixel data of the first pixel included in the second frame, ..., K-1st frame. The data in which the pixel data of the first pixel included in the first pixel and the pixel data of the first pixel included in the Kth frame are arranged in time series is the time-series pixel data D1 of the first pixel. Further, when the M-th pixel is described, the pixel data of the M-th pixel included in the first frame, the pixel data of the M-th pixel included in the second frame, ..., K-1st frame. The data in which the pixel data of the M-th pixel included in the above and the pixel data of the M-th pixel included in the K-th frame are arranged in time series is the time-series pixel data D1 of the M-th pixel. The number of time-series pixel data D1 is the same as the number of pixels constituting one frame.

With reference to FIG. 1A, the image processing unit 13 generates a surveillance image based on the time-series pixel data D1 and generates a visualization image based on the surveillance image. These will be described later.

The sensitivity setting unit 14 and the gas leak determination unit 15 will also be described later.

The display control unit 16 causes the display 17 to display the moving image shown by the moving image data MD and the moving image that has been subjected to predetermined processing by the image processing unit 13.

The input unit 18 is a device for operating the main body unit 3 and inputting data to the main body unit 3. The main body 3 according to the embodiment includes a display control unit 16, a display 17, and an input unit 18, but the main body 3 may not include these.

FIG. 1B is a block diagram showing a hardware configuration of the main body 3 shown in FIG. 1A. The main body 3 includes a CPU (Central Processing Unit) 3a, a RAM (Random Access Memory) 3b, a ROM (Read Only Memory) 3c, an HDD (Hard Disk Drive) 3d, a liquid crystal display 3e, an input / output interface 3f, a keyboard, and the like. And, a bus 3h connecting these is provided. The liquid crystal display 3e is hardware that realizes the display 17. Instead of the liquid crystal display 3e, an organic EL display (Organic Light Emitting Diode display), a plasma display, or the like may be used. The input / output interface 3f is hardware that realizes the input / output port 12. The keyboard and the like 3g are hardware that realizes the input unit 18. A touch panel may be used instead of the keyboard.

The HDD 3d has a program for realizing each of these functional blocks for the control processing unit 11, the image processing unit 13, the sensitivity setting unit 14, the gas leak determination unit 15, and the display control unit 16, and various data (for example, for example). Video data MD) is stored. For example, the program that realizes the image processing unit 13 is a processing program that acquires the moving image data MD and performs the above-mentioned predetermined processing on the moving image data MD. The program that realizes the display control unit 16 is, for example, a display control that displays a moving image shown by the moving image data MD on the display 17 or displays a moving image that has been subjected to the predetermined processing by the image processing unit 13 on the display 17. It is a program. These programs are stored in HDD3d in advance, but are not limited thereto. For example, a recording medium (for example, an external recording medium such as a magnetic disk or an optical disk) for recording these programs may be prepared, and the program stored in the recording medium may be stored in the HDD 3d. .. Further, these programs are stored in a server connected to the main body 3 via a network, and these programs may be sent to the HDD 3d and stored in the HDD 3d via the network. These programs may be stored in the ROM 3c instead of the HDD 3d. The main body 3 includes a flash memory instead of the HDD 3d, and these programs may be stored in the flash memory.

The CPU 3a is an example of a hardware processor, and by reading these programs from the HDD 3d, expanding them into the RAM 3b, and executing the expanded programs, the control processing unit 11, the image processing unit 13, and the sensitivity setting unit 14, The gas leak determination unit 15 and the display control unit 16 are realized. However, with respect to these functions, a part or all of each function may be realized by processing by DSP (Digital Signal Processor) in place of or together with processing by CPU3a. Similarly, a part or all of each function may be realized by processing by a dedicated hardware circuit in place of or in combination with processing by software. The same can be said for the mechanism control unit 41 and the imaging range determination unit 43, which will be described later with reference to FIGS. 17 and 24.

As shown in FIG. 1A, the main body 3 is composed of a plurality of elements. The main body 3 includes a control processing unit 11, an image processing unit 13, a sensitivity setting unit 14, a gas leak determination unit 15, and a display control unit 16 as elements. The HDD 3d stores a program for realizing these elements. These programs are expressed as a control processing program, an image processing program, a sensitivity setting program, a gas leak determination program, and a display control program.

These programs are represented using element definitions. The image processing unit 13 and the image processing program will be described as an example. The image processing unit 13 generates a visualized image by performing image processing for visualizing the gas on the image in the monitoring region taken by the infrared camera 2. The image processing program is a program that performs image processing for visualizing gas on an image in a monitoring area taken by the infrared camera 2.

The flowcharts of these programs executed by the CPU 3a are FIGS. 5, 16, 21, 26, and 27, which will be described later.

In gas detection using an infrared image, the present inventor presents a background temperature when a gas leak and a background temperature change occur in parallel and the background temperature change is larger than the temperature change due to the leaked gas. We found that it was not possible to display an image of gas leaks without considering the changes. This will be explained in detail.

FIG. 3 is an image diagram showing an infrared image taken of an outdoor test site in chronological order in a state where a gas leak and a temperature change in the background occur in parallel. These are infrared images obtained by shooting a moving image with an infrared camera. At the test site, there is a point SP1 where gas can be ejected. For comparison with the point SP1, the point SP2 where the gas does not eject is shown.

Image I1 is an infrared image of the test site taken at time T1 just before the sunlight is blocked by clouds. Image I2 is an infrared image of the test location taken at time T2, 5 seconds after time T1. At time T2, the temperature of the background is lower than that at time T1 because the sunlight is blocked by clouds.

Image I3 is an infrared image of the test location taken at time T3, 10 seconds after time T1. Since the state in which the sunlight is blocked by the clouds continues from the time T2 to the time T3, the background temperature of the time T3 is lower than that of the time T2.

Image I4 is an infrared image of the test site taken at time T4, 15 seconds after time T1. Since the state in which the sunlight is blocked by the clouds continues from the time T3 to the time T4, the background temperature of the time T4 is lower than that of the time T3.

In 15 seconds from time T1 to time T4, the background temperature has dropped by about 4 ° C. Therefore, it can be seen that the image I4 is darker than the image I1 as a whole, and the temperature of the background is lowered.

At the time point SP1 after the time T1 and before the time T2, the gas ejection is started. The temperature change due to the ejected gas is slight (about 0.5 ° C.). Therefore, at time T2, time T3, and time T4, gas is ejected at the point SP1, but the temperature change in the background is much larger than the temperature change due to the ejected gas. Even if I look at I3 and image I4, I can't see how gas is coming out from point SP1.

FIG. 4A is a graph showing the temperature change at the point SP1 at the test site, and FIG. 4B is a graph showing the temperature change at the point SP2 at the test site. The vertical axis of these graphs shows the temperature. The horizontal axis of these graphs shows the order of the frames. For example, 45 means the 45th frame. The frame rate is 30 fps. Therefore, the time from the first frame to the 450th frame is 15 seconds.

The graph showing the temperature change at the point SP1 and the graph showing the temperature change at the point SP2 are different. Since no gas is ejected at the point SP2, the temperature change at the point SP2 indicates the temperature change in the background. On the other hand, since the gas is ejected at the point SP1, the gas is floating at the point SP1. Therefore, the temperature change at the point SP1 indicates the temperature change obtained by adding the temperature change in the background and the temperature change due to the leaked gas.

From the graph shown in FIG. 4A, it can be seen that the gas is ejected at the point SP1 (that is, it can be seen that the gas leak occurs at the point SP1). However, as described above, from the images I2, I3, and image I4 shown in FIG. 3, it cannot be seen that the gas is ejected at the point SP1 (that is, a gas leak occurs at the point SP1). I do not understand).

In this way, when the temperature change in the background is much larger than the temperature change due to the ejected gas (leaked gas), the image I2, the image I3, and the image I4 shown in FIG. 3 can be seen from the point SP1. I don't know how the gas is coming out.

The reason for this is that in the moving image data MD (FIG. 1A), in addition to the frequency component data indicating the temperature change due to the leaked gas, the frequency is lower than this frequency component data, and the low frequency component data D2 indicating the change in the background temperature. Is included. The image shown by the low frequency component data D2 (change in brightness of the background) makes the image shown by the frequency component data invisible. With reference to FIGS. 4A and 4B, the small changes contained in the graph showing the temperature change at point SP1 correspond to the frequency component data. The graph showing the temperature change at the point SP2 corresponds to the low frequency component data D2.

Therefore, the image processing unit 13 (FIG. 1A) generates a plurality of time-series pixel data D1 (that is, a plurality of time-series pixel data D1 constituting the moving image data MD) having different pixel positions from the moving image data MD. , Each of the plurality of time-series pixel data D1 is processed to remove the low frequency component data D2. With reference to FIG. 2, the plurality of time-series pixel data in which the pixel positions are different are the time-series pixel data D1 of the first pixel, the time-series pixel data D1 of the second pixel, ..., M-1st. It means the time-series pixel data D1 of the pixel and the time-series pixel data D1 of the Mth pixel.

The frequency component data having a higher frequency than the frequency of the frequency component data indicating the temperature change due to the leaked gas and indicating high frequency noise is referred to as high frequency component data D3. The image processing unit 13 performs processing for removing the high-frequency component data D3 in addition to processing for removing the low-frequency component data D2 for each of the plurality of time-series pixel data D1 constituting the moving image data MD.

As described above, the image processing unit 13 does not perform processing excluding the low frequency component data D2 and the high frequency component data D3 in the frame unit, but the low frequency component data D2 and the high frequency component data in the time series pixel data D1 unit. Process excluding D3.

The image processing unit 13 uses an infrared image to generate a surveillance image. If a gas leak has occurred, the surveillance image will include an image showing the area where the gas is appearing due to the gas leak. The image processing unit 13 detects a gas leak based on the monitoring image. There are various methods for generating a surveillance image, but here, an example of a method for generating a surveillance image will be described. The surveillance image is generated using an infrared image of the surveillance target and the background. FIG. 5 is a flowchart illustrating a process of generating a surveillance image.

With reference to FIGS. 1A, 2 and 5, the image processing unit 13 generates M time-series pixel data D1 from the moving image data MD (step S1).

The image processing unit 13 is data extracted from the time-series pixel data D1 by calculating a simple moving average in units of a first predetermined number of frames, which is less than K frames, with respect to the time-series pixel data D1. Is the low frequency component data D2, and M low frequency component data D2 corresponding to each of the M time series pixel data D1 are extracted (step S2).

The first predetermined number of frames is, for example, 21 frames. The breakdown is the target frame, 10 consecutive frames before this, and 10 consecutive frames after this. The first predetermined number may be any number as long as the low frequency component data D2 can be extracted from the time-series pixel data D1, and is not limited to 21, and may be more than 21 or less than 21.

The image processing unit 13 calculates a simple moving average in units of a third predetermined number (for example, 3) of frames, which is smaller than the first predetermined number (for example, 21) for the time series pixel data D1. The data extracted from the time-series pixel data D1 is used as the high-frequency component data D3, and the M high-frequency component data D3 corresponding to each of the M time-series pixel data D1 is extracted (step S3).

FIG. 6 shows the time-series pixel data D1 of the pixels corresponding to the point SP1 (FIG. 4A), the low-frequency component data D2 extracted from the time-series pixel data D1, and the high-frequency component data D3 extracted from the time-series pixel data D1. It is a graph which shows. The vertical and horizontal axes of the graph are the same as the vertical and horizontal axes of the graph of FIG. 4A. The temperature indicated by the time-series pixel data D1 changes relatively rapidly (the cycle of change is relatively short), and the temperature indicated by the low-frequency component data D2 changes relatively slowly (cycle of change). Is relatively long). The high frequency component data D3 appears to substantially overlap with the time series pixel data D1.

The third predetermined number of frames is, for example, three frames. The breakdown is the target frame, the one frame immediately before this, and the one frame immediately after this. The third predetermined number may be any number as long as it can extract the third frequency component from the time-series pixel data, and may be more than three.

With reference to FIGS. 1A, 2 and 5, the image processing unit 13 calculates the difference between the time-series pixel data D1 and the low-frequency component data D2 extracted from the time-series pixel data D1. Is the difference data D4, and M difference data D4 corresponding to each of the M time series pixel data D1 is calculated (step S4).

The image processing unit 13 uses the data obtained by calculating the difference between the time-series pixel data D1 and the high-frequency component data D3 extracted from the time-series pixel data D1 as the difference data D5, and M time-series pixel data. M pieces of difference data D5 corresponding to each of D1 are calculated (step S5).

FIG. 7A is a graph showing the difference data D4, and FIG. 7B is a graph showing the difference data D5. The vertical and horizontal axes of these graphs are the same as the vertical and horizontal axes of the graph of FIG. 4A. The difference data D4 is data obtained by calculating the difference between the time-series pixel data D1 and the low-frequency component data D2 shown in FIG. Before the gas ejection is started at the point SP1 shown in FIG. 4A (frames up to the 90th frame), the repetition of the minute amplitude shown by the difference data D4 mainly indicates the sensor noise of the two-dimensional image sensor 6. ing. After the gas ejection is started at the point SP1 (the 90th and subsequent frames), the variation of the amplitude and the waveform of the difference data D4 becomes large.

The difference data D5 is data obtained by calculating the difference between the time-series pixel data D1 and the high-frequency component data D3 shown in FIG.

The difference data D4 includes frequency component data indicating a temperature change due to the leaked gas and high frequency component data D3 (data indicating high frequency noise). The difference data D5 does not include the frequency component data indicating the temperature change due to the leaked gas, but includes the high frequency component data D3.

Since the difference data D4 includes frequency component data indicating a temperature change due to the leaked gas, the amplitude and waveform variation of the difference data D4 is large after the gas ejection is started at the point SP1 (the 90th and subsequent frames). It has become. On the other hand, the difference data D5 does not include the frequency component data indicating the temperature change due to the leaked gas, so that is not the case. The difference data D5 repeats a minute amplitude. This is high frequency noise.

The difference data D4 and the difference data D5 are correlated, but not completely correlated. That is, in a certain frame, the value of the difference data D4 may be positive, the value of the difference data D5 may be negative, or vice versa. Therefore, even if the difference between the difference data D4 and the difference data D5 is calculated, the high frequency component data D3 cannot be removed. In order to remove the high frequency component data D3, it is necessary to convert the difference data D4 and the difference data D5 into a value such as an absolute value that can be subtracted.

Therefore, the image processing unit 13 uses the data obtained by calculating the moving standard deviation in units of a second predetermined number of frames, which is less than K frames, as the standard deviation data D6 with respect to the difference data D4. The M standard deviation data D6 corresponding to each of the M time-series pixel data D1 is calculated (step S6). Instead of the movement standard deviation, the movement variance may be calculated.

Further, the image processing unit 13 uses data obtained by calculating a moving standard deviation in units of a fourth predetermined number (for example, 21) of frames, which is less than K frames, with respect to the difference data D5. The deviation data D7 is used, and M standard deviation data D7 corresponding to each of the M time-series pixel data D1 are calculated (step S7). Instead of the moving standard deviation, the moving variance may be used.

FIG. 8 is a graph showing the standard deviation data D6 and the standard deviation data D7. The horizontal axis of the graph is the same as the horizontal axis of the graph of FIG. 4A. The vertical axis of the graph shows the standard deviation. The standard deviation data D6 is data showing the moving standard deviation of the difference data D4 shown in FIG. 7A. The standard deviation data D7 is data showing the moving standard deviation of the difference data D5 shown in FIG. 7B. The number of frames used to calculate the moving standard deviation is 21 in both the standard deviation data D6 and the standard deviation data D7, but it may be any number as long as a statistically significant standard deviation can be obtained. Not limited.

Since the standard deviation data D6 and the standard deviation data D7 are standard deviations, they do not include negative values. Therefore, the standard deviation data D6 and the standard deviation data D7 can be regarded as data converted so that the difference data D4 and the difference data D5 can be subtracted.

The image processing unit 13 uses the data obtained by calculating the difference between the standard deviation data D6 and the standard deviation data D7 obtained from the same time-series pixel data D1 as the difference data D8, and sets M time-series pixel data D1. The M difference data D8 corresponding to each of the above is calculated (step S8).

FIG. 9 is a graph showing the difference data D8. The horizontal axis of the graph is the same as the horizontal axis of the graph of FIG. 4A. The vertical axis of the graph is the difference in standard deviation. The difference data D8 is data showing the difference between the standard deviation data D6 and the standard deviation data D7 shown in FIG. The difference data D8 is data that has been processed except for the low frequency component data D2 and the high frequency component data D3.

The image processing unit 13 generates a surveillance image (step S9). That is, the image processing unit 13 generates a moving image composed of the M difference data D8 obtained in step S8. Each frame constituting this moving image is a surveillance image. The surveillance image is an image that visualizes the difference in standard deviation. The image processing unit 13 outputs the moving image obtained in step S9 to the display control unit 15. The display control unit 15 displays this moving image on the display 16. As the monitoring images included in this moving image, for example, there are an image I12 shown in FIG. 10 and an image I15 shown in FIG.

FIG. 10 is an image diagram showing an image I10, an image I11, and an image I12 generated based on a frame at time T1. The image I10 is an image of a frame at time T1 in the moving image shown by the M standard deviation data D6 obtained in step S6 of FIG. Image I11 is an image of a frame at time T1 in the moving image shown by the M standard deviation data D7 obtained in step S7 of FIG. The difference between the image I10 and the image I11 becomes the image I12 (monitoring image).

FIG. 11 is an image diagram showing images I13, image I14, and image I15 generated based on the frame at time T2. The image I13 is an image of a frame at time T2 in the moving image shown by the M standard deviation data D6 obtained in step S6. The image I14 is an image of a frame at time T2 in the moving image shown by the M standard deviation data D7 obtained in step S7. The difference between the image I13 and the image I14 becomes the image I15 (monitoring image). Both images I10 to I15 shown in FIGS. 10 and 11 are images in which the standard deviation is multiplied by 5000.

Since the image I12 shown in FIG. 10 is an image taken before the gas is ejected from the point SP1 shown in FIG. 4A, the image I12 does not show the appearance of the gas being emitted from the point SP1. On the other hand, since the image I15 shown in FIG. 11 is an image taken at the time when the gas is ejected from the point SP1, the image I15 shows that the gas is emitted from the point SP1.

As described above, according to the embodiment, the image processing unit 13 (FIG. 1A) performs processing excluding the low frequency component data D2 included in the moving image data MD of the infrared image to generate moving image data. The display control unit 16 causes the display 17 to display the moving image (moving image of the surveillance image) indicated by the moving image data. Therefore, according to the embodiment, a monitoring image shows that the gas leaks and the background temperature change occurs in parallel, and the gas leaks even when the background temperature change is larger than the temperature change due to the leaked gas. It can be displayed in the video of.

The sensor noise decreases as the temperature rises, so it varies depending on the temperature. In the two-dimensional image sensor 6 (FIG. 1A), noise corresponding to the temperature perceived by the pixels is generated in each pixel. That is, the noise of all pixels is not the same. According to the embodiment, since the high frequency noise can be removed from the moving image, even a slight gas leak can be displayed on the display 17.

In this way, the image processing unit 13 (FIG. 1A) generates a surveillance image (for example, the surveillance image in FIGS. 10 and 11) based on the infrared image captured by the two-dimensional image sensor 6. The surveillance image is an example of the first image, and is an image processed so that an image showing the leaking gas can be easily seen with respect to the infrared image. If a gas leak has occurred, the surveillance image will include a gas candidate image. The gas candidate image may be an image showing leaked gas (gas image) or an image showing disturbance noise. Disturbance noise is generated, for example, by sunlight reflected by the lawn or steam emitted from pipes in the monitoring area when the lawn is shaken by the wind.

The method for generating the surveillance image (first image) is not limited to the method described above. Although it is not a technique invented by the present inventor, for example, a surveillance image can be generated by the following known technique. Japanese Patent Application Laid-Open No. 2012-58093 describes a gas leak detecting device for detecting a gas leak in an inspection target area, an infrared camera for photographing the inspection target area, an image processing unit for processing an infrared image captured by the infrared camera, and an image processing unit. The image processing unit discloses a gas leak detection device having a fluctuation extraction unit that extracts dynamic fluctuations due to gas leakage from a plurality of infrared images arranged in time series. ..

With reference to FIG. 1A, the main body 3 functions as an image processing device for gas visualization. explain in detail. The image processing unit 13 generates a visualization image that visualizes the gas based on the monitoring image. That is, the image processing unit 13 generates a visualized image by performing image processing for visualizing the gas on the infrared image (image in the monitoring area) in the monitoring area taken by the infrared camera 2 (imaging device). do. This image processing is a processing for eliminating disturbance noise among the gas candidate images included in the monitoring image. As a result, an image (gas image) showing the leaked gas is captured in the visualization image, and the gas is visualized.

The sensitivity setting unit 14 can set the sensitivity of gas detection, and when the sensitivity of gas detection is set to be high, the gas is easily visualized in the above image processing, and the sensitivity of gas detection is set to be low. At times, it becomes difficult for the gas to be visualized in the above image processing. When the non-image type gas detection device 21 detects gas, the sensitivity setting unit 14 sets the sensitivity of gas detection higher than that before the detection.

The display control unit 16 and the display 17 function as an image output unit. The image output unit outputs the above-mentioned visualized image (moving image of the visualized image). When the visualized image is a still image, the printer may be used as an image output unit. Further, when the main body 3 (image processing device for gas visualization) does not have the display control unit 16 and the display 17, and an external device equipped with these is connected to the input / output port 12, the input / output port 12 outputs an image. Become a department.

The image processing unit 13 and the sensitivity setting unit 14 will be described in detail. FIG. 12 is a schematic diagram showing an example of an infrared image Im0 in a gas leak monitoring region. In FIG. 12, not the entire infrared image Im0, but only the rectangular portion of the infrared image Im0 including the pipe 101 is shown. In the infrared image Im0, three pipes 101-1, 101-2, 101-3 extending in parallel and three non-image type gas detection devices 21 are shown.

Gas detection devices 21 are installed (fixed) at predetermined intervals in the monitoring area. In FIG. 12, of the three pipes 101-1, 101-2, and 101-3, the gas detection device 21 is installed at a predetermined interval in the central pipe 101-2.

FIG. 13 is a schematic diagram showing a surveillance image Im1-1 generated based on the infrared image Im0 and a visualization image Im2-1 generated based on the surveillance image Im1-1. FIG. 14 is a schematic diagram showing a surveillance image Im1-2 generated based on the infrared image Im0 and a visualization image Im2-2 generated based on the surveillance image Im1-2. FIG. 15 is a schematic diagram showing a surveillance image Im1-2 generated based on the infrared image Im0 and a visualization image Im2-3 generated based on the surveillance image Im1-2.

The surveillance image Im1-1 shown in FIG. 13 is an image generated based on the infrared image Im0 taken when a large amount of gas leak occurs. The surveillance images Im1-2 shown in FIGS. 14 and 15 are images generated based on the infrared image Im0 taken when a small amount of gas leak occurs.

The visualization image Im2-2 shown in FIG. 14 is an image generated without setting to lower the threshold value (setting to increase the sensitivity of gas detection). The visualization image Im2-3 shown in FIG. 15 is an image generated by setting the threshold value to be lowered.

With reference to FIG. 13, four gas candidate images 111-1 to 111-4 are captured in the monitoring image Im1-1. The gas candidate image 111-1 is an image (gas image) showing the leaked gas. The gas candidate images 111-2 to 111-4 are images showing disturbance noise. The gas candidate image 111-1 includes a region 131, a region 132, and a region 133. The region 131 is a region where the pixel value indicates "large (for example, 60)". The region 132 is a region where the pixel value indicates “medium (for example, 40)” and is located around the region 131. The region 133 is a region where the pixel value indicates "small (for example, 20)" and is located around the region 132. The gas candidate images 111-2 to 111-4 are composed of a region in which the pixel value indicates "small (for example, 20)".

With reference to FIGS. 14 and 15, four gas candidate images 111-5 to 111-8 are captured in the monitoring image Im1-2. The gas candidate image 111-5 is an image (gas image) showing the leaked gas. The gas candidate images 111-6 to 111-8 are images showing disturbance noise. The gas candidate image 111-5 includes a region 134 and a region 135. The region 134 is a region where the pixel value indicates "small (for example, 20)". The region 135 is a region where the pixel value indicates “smaller (for example, 10)” and is located around the region 134. The gas candidate images 111-6 to 111-8 are composed of regions in which the pixel value indicates "small (for example, 20)".

With reference to FIGS. 1A, 13 and 14, the sensitivity setting unit 14 sets a threshold value (gas detection sensitivity) for the monitoring image Im1. Among the pixels constituting the monitoring image Im1, the image processing unit 13 regards the pixels exceeding the threshold value as the pixels constituting the gas image 121, and the pixels below the threshold value as the pixels not constituting the gas image 121. , Generates a visualized image Im2. For example, in 255 gradations, the value (signal) of the pixels constituting the disturbance noise is set to about 20. In this case, the threshold is set to, for example, 35. According to this, since the pixels of the image shown by the disturbance noise are regarded as the pixels that do not form the gas image 121, the disturbance noise is not visualized in the visualized image Im2 (the image showing the disturbance noise is not reflected in the visualized image Im2).

Visualized images Im2-1 and Im2-2 are images generated with a threshold of 35. One gas image 121-1 is captured in the visualization image Im2-1. The gas image 121-1 corresponds to the gas candidate image 111-1 and is an image showing the leaked gas. The gas image 121-1 includes a region 131 and a region 132. The gas image 121 is not captured in the visualization image Im2-2. As described above, the disturbance noise is not visualized in the visualized image Im2.

When the amount of gas leakage is large, the disturbance noise is not visualized in the visualization image Im2 (for example, the visualization image Im2-1), and the leaked gas is visualized (gas image 121-1). When the amount of gas leakage is small, the disturbance noise is not visualized in the visualized image Im2 (for example, the visualization image Im2-2), but the leaked gas is also not visualized.

Therefore, if the threshold value (sensitivity of gas detection) is set so that the disturbance noise is not visualized in the visualization image Im2, the leaked gas is not visualized when the gas leakage amount is small.

Therefore, when the non-image type gas detection device 21 detects gas, the sensitivity setting unit 14 sets the threshold value lower than before the detection (sets the sensitivity of gas detection higher). For example, the threshold is set from 35 to 15. This value is an example of a predetermined value that can visualize the disturbance noise. The image processing unit 13 generates the visualized image Im2 under the setting where the threshold value is lowered (under the setting where the sensitivity of gas detection is high). As a result, even if the amount of gas leakage is small, the leaked gas is visualized in the visualization image Im2. For example, the visualization image Im2-3 shown in FIG. 15 shows an image (gas image 121-2) showing the leaked gas.

By lowering the threshold value, disturbance noise is also visualized in the visualized image Im2. For example, in the visualization image Im2-3 shown in FIG. 15, images showing disturbance noise (gas images 121-3 to 121-5) are also captured. Therefore, if the gas leak determination unit 15 determines whether or not the gas leak is based on the visualized image Im2, it may be determined as a gas leak even though it is not a gas leak (false positive). Therefore, when the non-image type gas detection device 21 detects gas, the display control unit 16 displays the visualized image Im2 on the display 17, so that the user can determine whether or not the gas leaks by looking at the visualized image Im2. To.

The sensitivity setting unit 14 stores in advance a first threshold value (for example, 35) and a second threshold value smaller than the first threshold value (for example, 15) as the threshold value. According to the first threshold value, the disturbance noise is not visualized in the visualized image Im2 (the image showing the disturbance noise is not reflected in the visualized image Im2). According to the second threshold value, the disturbance noise is visualized in the visualization image Im2 (the image showing the disturbance noise is reflected in the visualization image Im2). The second threshold value may be determined based on the distribution of the values of the pixels (signals) constituting the surveillance image Im1. For example, the average value and the median of the values (signals) of the pixels constituting the surveillance image Im1 may be set to the second value.

The operation of the embodiment will be described. FIG. 16 is a flowchart illustrating this operation. With reference to FIGS. 1A and 16, the infrared camera 2 photographs the monitoring area and sends the moving image data MD of the infrared image Im0 to the main body 3 (image processing device for gas visualization). The image processing unit 13 generates a moving image of the surveillance image Im1 based on the moving image data MD, and generates a moving image of the visualized image Im2 based on the moving image of the monitoring image Im1 (step S11). The sensitivity setting unit 14 sets the threshold value to the first threshold value.

The gas leak determination unit 15 determines whether or not there is a gas leak based on the moving image of the visualized image Im2 (FIGS. 13 and 14) (step S12). The gas leak determination unit 15 determines that the gas has leaked if the gas is visualized in the moving image of the visualized image Im2, and determines that the gas does not leak if the gas is not visualized in the moving image of the visualized image Im2.

When the gas leak determination unit 15 determines that a gas leak has occurred (Yes in step S12), the main body unit 3 issues a report (step S13). For example, the display control unit 16 causes the display 17 to display an image indicating an alarm. The alarm is not limited to this, and for example, the control processing unit 11 may sound a warning sound using a speaker (not shown) provided in the main body unit 3.

When the gas leak determination unit 15 does not determine the gas leak (No in step S12), the sensitivity setting unit 14 determines whether or not the non-image type gas detection device 21 has detected the gas (step S14). .. When any one of the plurality of gas detection devices 21 detects gas and the gas detection signal GS is input to the input / output port 12, the sensitivity setting unit 14 determines that the gas detection device 21 has detected the gas.

When the sensitivity setting unit 14 determines that the gas detection device 21 has not detected gas (No in step S14), the image processing unit 13 generates a moving image of the visualized image Im2 (step S11).

When the sensitivity setting unit 14 determines that the gas detection device 21 has detected gas (Yes in step S14), the sensitivity setting unit 14 sets the threshold value to be lowered (step S15). As a result, the threshold value is changed from the first threshold value to the second threshold value.

The image processing unit 13 generates a moving image of the surveillance image Im1 based on the moving image data MD, and generates a moving image of the visualized image Im2 based on the moving image of the monitoring image Im1 (step S16). Here, the image processing unit 13 generates a moving image of the visualized image Im2 (visualized image Im2-3 shown in FIG. 15) under the second threshold value (under the gas detection sensitivity is set high). .. The display control unit 16 displays the moving image of the visualization image Im2 generated in step S16 on the display 17 (step S17).

The main effects of the embodiments will be described. With reference to FIGS. 1A and 16, the sensitivity of gas detection is set to be relatively low before the non-image type gas detection device 21 detects gas (No in step S12) (first threshold value). The image processing unit 13 can suppress the visualization of disturbance noise when generating the visualization image Im2 (FIGS. 13 and 14). Therefore, when the gas leak determination unit 15 determines whether or not there is a gas leak based on the visualization image Im2, it is possible to prevent this determination error (false positive).

When the non-image type gas detection device 21 detects gas (Yes in step S14), there is a possibility of gas leakage, so the sensitivity of gas detection is set to be relatively high (step S15). As a result, the image processing unit 13 can visualize the gas even with a small amount of gas leakage when generating the visualized image Im2 (FIG. 15), but there is a possibility that the disturbance noise is also visualized. Therefore, if the gas leak determination unit 15 determines whether or not the gas leak is based on the visualized image Im2, it may be determined as a gas leak even though it is not a gas leak (false positive). Therefore, the image output unit (display control unit 16, display 17) outputs a moving image of the visualized image Im2 (step S17) so that the user can determine whether or not there is a gas leak by watching the moving image of the visualized image Im2.

The first modification of the embodiment will be described. The contents different from the embodiment and the first modification will be described, and the common contents will be omitted. FIG. 17 is a block diagram showing a configuration of the gas detection system 1a according to the first modification. The gas detection system 1a further includes an electric pan head 31. The infrared camera 2 is mounted on the electric pan head 31. The electric pan head 31 can change the angle of the infrared camera 2 in the pan direction and the tilt direction. This makes it possible to change the position of the shooting range of the infrared camera 2. The electric pan head 31 is an example of a position changing mechanism that can change the position of the photographing range.

The main body 3 further includes a mechanism control unit 41, a position information storage unit 42, and a shooting range determination unit 43.

The mechanism control unit 41 controls the pan angle and tilt angle of the electric pan head 31, respectively. Accordingly, the electric pan head 31 changes the position of the shooting range of the infrared camera 2. The mechanism control unit 41 stores the setting information 411 in advance. For each of the non-image type gas detection devices 21, a shooting range in which the gas detection device 21 is inserted is set. The setting information 411 is information indicating the position of the photographing range set for each of the gas detection devices 21. FIG. 18 is an explanatory diagram illustrating an example of the setting information 411. An example of the setting information 411 is a table including columns 4111 and 4112. Column 4111 shows the identification information. The identification information of each of the plurality of gas detection devices 21 is written in this column.

Column 4112 indicates the position of the set shooting range. The position of the shooting range is specified by the pan angle and the tilt angle. The shooting range set in the gas detection device 21 of the identification information "001" is, for example, a shooting range determined by a pan angle of 63 degrees and a tilt angle of 44 degrees. The shooting range set in the gas detection device 21 of the identification information "002" is, for example, a shooting range determined by a pan angle of 55 degrees and a tilt angle of 48 degrees.

FIG. 19 is a schematic diagram showing an example of a photographing range 103 set in each of the three gas detection devices 21. There are three pipes 101-1, 101-2, 101-3 extending in parallel. Three gas detection devices 21-1, 12, 21 and 21-3 are installed in the central pipe 101-2 at predetermined intervals. The shooting range 103-1 is a shooting range set in the gas detection device 21-1. The shooting range 103-2 is a shooting range set in the gas detection device 21-2. The shooting range 103-3 is a shooting range set in the gas detection device 21-3. The gas detection device 21 is located near the center of the photographing range 103, but the present invention is not limited to this. For example, the photographing range 103 may be set so that a portion where gas leakage is likely to occur (a connection portion of the pipe 101) and the gas detection device 21 are included.

With reference to FIG. 17, the position information storage unit 42 stores the position information 421. The position information 421 is information indicating the position of the shooting range of the infrared camera 2 into which the gas detection device 21 is inserted. FIG. 20 is an explanatory diagram illustrating an example of position information 421. An example of the position information 421 is a table including a column 4211 and a column 4212. Column 4211 indicates the identification information. The identification information of each of the plurality of gas detection devices 21 is written in this column.

Column 4212 indicates the position of the photographing range in which the gas detection device 21 enters. For each of the plurality of gas detection devices 21, a pan angle range and a tilt angle range in which the gas detection device 21 falls within the shooting range are obtained in advance, and these ranges are written in column 4212 in association with the identification information. ing. The shooting range in which the gas detection device 21 of the identification information "001" is entered is, for example, a shooting range determined by a pan angle range of 60 to 65 degrees and a tilt angle range of 40 to 50 degrees. The shooting range in which the gas detection device 21 of the identification information "002" is entered is, for example, a shooting range determined by a pan angle range of 51 to 57 degrees and a tilt angle range of 45 to 52 degrees.

With reference to FIG. 17, in the photographing range determination unit 43, when any one of the plurality of gas detecting devices 21 detects gas, the gas detecting device 21 that detects the gas based on the position information 421 is in the photographing range. Determine if it is included.

The operation of the first modification will be described. FIG. 21 is a flowchart illustrating this operation. The first modification includes steps S21 to S23 between Yes and step S15 in step S14 shown in FIG. It is assumed that the gas detection device 21-2 (Fig. 19) detects gas. With reference to FIGS. 17 and 21, when the gas detection device 21-2 detects gas, it transmits a gas detection signal GS. The gas detection signal GS transmitted from the gas detection device 21-2 is input to the input / output port 12. As a result, the sensitivity setting unit 14 determines that the gas detection device 21-2 has detected the gas (Yes in step S14).

The shooting range determination unit 43 acquires the current pan angle and tilt angle of the electric pan head 31 from the mechanism control unit 41 (step S21). The shooting range determination unit 43 determines whether or not the gas detection device 21-2 is within the shooting range 103 (step S22). explain in detail. The photographing range determination unit 43 specifies the pan angle range and the tilt angle range associated with the identification information of the gas detection device 21-2 with reference to the position information 421 (FIG. 20), and the pan angle range and the tilt angle. It is determined whether or not the pan angle and tilt angle acquired in step S21 are included in the range.

When the acquired pan angle is within the pan angle range and the acquired tilt angle is within the tilt angle range, the imaging range determination unit 43 determines that the gas detection device 21-2 is within the imaging range 103. The determination is made (Yes in step S22), and at other times, the gas detection device 21-2 determines that the imaging range 103 is not included (No in step S22). FIG. 22 is a schematic diagram showing an example in which the gas detection device 21-2 is within the photographing range 103-4. FIG. 23 is a schematic diagram showing an example in which the gas detection device 21-2 is not within the imaging range 103-5.

When the shooting range determination unit 43 determines that the gas detection device 21-2 is within the shooting range 103 (Yes in step S22), the sensitivity setting unit 14 sets the threshold value to be lowered (step S15). ..

When the shooting range determination unit 43 determines that the gas detection device 21-2 is not in the shooting range 103 (No in step S22), the mechanism control unit 41 refers to the setting information 411 (FIG. 18). A command to change to the shooting range 103 set in the gas detection device 21-2 is transmitted to the electric pan head 31. The electric pan head 31 adjusts the pan angle and the tilt angle according to this command, and changes the position of the shooting range 103 (step S23). As a result, the shooting range is changed to 103-2 (FIG. 19) set in the gas detection device 21-2. Then, the sensitivity setting unit 14 sets the threshold value to be lowered (step S15).

The main effects of the first modification will be described. When any of the non-image type gas detection devices 21 detects gas, there is a possibility that a gas leak has occurred in the vicinity of the gas detection device 21 that has detected the gas. At this time, the gas detection device 21 that has detected the gas may not be within the photographing range 103. According to the first modification, the position of the photographing range 103 can be changed so that the gas detecting device 21 that has detected the gas falls within the photographing range 103.

A second modification of the embodiment will be described. The contents different from the first modification and the second modification will be described, and the common contents will be omitted. FIG. 24 is a block diagram showing the configuration of the gas detection system 1b according to the second modification. The mechanism control unit 41 controls the electric pan head 31 (position change mechanism) according to the shooting schedule 412 of the plurality of shooting ranges 103 having different positions, and moves the position of the shooting range 103.

FIG. 25 is a schematic diagram showing an example of the shooting range 103 included in the shooting schedule 412. The shooting range 103 includes a shooting range 103-6 and a shooting range 103-7. The process of steps S11 to S17 shown in FIG. 16 for the shooting range 103-6 is a first job, and the process of steps S11 to S17 shown in FIG. 16 for the shooting range 103-7 is a second job. The shooting schedule 412 repeats executing the first job and the second job in order at predetermined time intervals (for example, every 10 minutes).

FIG. 26 is a flowchart illustrating the operation of the second modification. The operation of the second modification will be described with reference to FIGS. 24, 25 and 26. The position of the shooting range 103-6 is the first position, and the position of the shooting range 103-7 is the second position. The mechanism control unit 41 controls the electric pan head 31 and sets the position of the photographing range 103 to the first position. The main body 3 performs the processes of steps S11 to S17 shown in FIG. 16 (step S31). Since this process is performed in the shooting range 103-6, the first job is executed.

The mechanism control unit 41 determines whether or not a predetermined time has elapsed (for example, 10 minutes have elapsed) (step S32). When the mechanism control unit 41 determines that the predetermined time has not elapsed (No in step S32), the main body unit 3 continues the process of step S31.

When it is determined that the predetermined time has elapsed (Yes in step S32), the mechanism control unit 41 controls the electric pan head 31 and changes the position of the photographing range 103. Here, the position is changed from the first position to the second position. The main body 3 performs the processes of steps S11 to S17 shown in FIG. 16 (step S31). Since this process is performed in the shooting range 103-7, the second job is executed. In this way, the first job and the second job are alternately repeated at predetermined time intervals.

When the gas detection device 21 detects gas, the sensitivity setting unit 14 sets a lower threshold in generating a moving image of the visualized image Im2 of a plurality of shooting ranges 103 (shooting ranges 103-6, 103-7) than before the detection. It is not set to lower (step S15 in FIG. 16: set the sensitivity of gas detection to be high). The sensitivity setting unit 14 sets the threshold value to be lower than before the detection in the generation of the moving image of the visualization image Im2 of the shooting range 103 including the gas detection device 21 that has detected the gas among the plurality of shooting ranges 103.

In the second modification, a new shooting schedule 412 is created under predetermined conditions. This will be described with reference to FIGS. 24, 25 and 27. FIG. 27 is a flowchart illustrating the creation of a new shooting schedule 412. It is assumed that the gas detection device 21-2 detects gas. The gas detection signal GS transmitted from the gas detection device 21-2 is input to the input / output port 12, and the sensitivity setting unit 14 determines that the gas detection device 21-2 has detected the gas (Yes in step S14). ).

The shooting range determination unit 43 determines whether or not the gas detection device 21-2 is included in any of the two shooting ranges 103-6 and 103-7 based on the position information 421 (FIG. 20). (Step S41). explain in detail. The shooting range determination unit 43 acquires the pan angle and tilt angle defining the shooting range 103-6 and the pan angle and tilt angle defining the shooting range 103-7 from the mechanism control unit 41. The shooting range determination unit 43 detects gas when the pan angle range and tilt angle range corresponding to the identification information of the gas detection device 21-2 include the pan angle and tilt angle defining the shooting range 103-6. It is determined that the device 21-2 is within the shooting range 106-6. The shooting range determination unit 43 detects gas when the pan angle range and tilt angle range corresponding to the identification information of the gas detection device 21-2 include the pan angle and tilt angle defining the shooting range 103-7. It is determined that the device 21-2 is within the shooting range 106-7.

When the shooting range determination unit 43 determines that the gas detection device 21-2 is contained in any of the two shooting ranges 103-6 and 103-7 (Yes in step S41), the mechanism control unit 41 determines that the gas detection device 21-2 is contained. The electric pan head 31 is controlled according to the current shooting schedule 412, and the position of the shooting range 103 is changed (step S42). That is, the position of the shooting range 103 is alternately changed between the position of the shooting range 103-6 (first position) and the position of the shooting range 103-7 (second position).

When the shooting range determination unit 43 determines that the gas detection device 21-2 is not included in any of the two shooting ranges 103-6 and 103-7 (No in step S41), the mechanism control unit 41 determines that the gas detection device 21-2 is not included. A shooting range 103 in which the gas detection device 21-2 is inserted is newly set, and a new shooting schedule 412 including this shooting range 103 is created (step S43). explain in detail. The mechanism control unit 41 searches for the shooting range 103-2 (FIG. 19) set in the gas detection device 21-2 with reference to the setting information 411 (FIG. 18), and newly shoots the shooting range 103-2. Set to range 103. As a result, the number of shooting ranges 103 is increased by one to three (shooting ranges 103-2, 103-6, 103-7). The mechanism control unit 41 stores in advance the upper limit of the number of shooting ranges 103, and when the number of shooting ranges 103 exceeds the upper limit, the gas leak is not determined and the gas is detected. The shooting range 103 that satisfies no condition (No in step S12 and No in step S14 in FIG. 16) is excluded. This prevents the number of shooting ranges 103 from exceeding the upper limit.

FIG. 28 is a schematic diagram showing an example of the shooting range 103 included in the new shooting schedule 412. The shooting range 103-2 has been added. The process of steps S11 to S17 shown in FIG. 16 for the shooting range 103-2 is a third job. The new shooting schedule 412 repeats executing the first job, the second job, and the third job in order at predetermined time intervals (for example, every 10 minutes).

The mechanism control unit 41 controls the electric pan head 31 and changes the position of the shooting range 103 according to the new shooting schedule 412 (step S44). That is, the position of the shooting range 103 is sequentially between the position of the shooting range 103-6 (first position), the position of the shooting range 103-7 (second position), and the position of the shooting range 103-2. Be changed.

The main effects of the second modification will be described. When any one of the plurality of gas detection devices 21 detects gas, the gas detection device 21 (gas detection device 21) that detects gas in any of the plurality of shooting ranges 103 (shooting ranges 103-6, 103-7) -2) may not be included. In this case, the mechanism control unit 41 newly sets a shooting range 103 (shooting range 103-2) in which the gas detection device 21 that detects gas enters, and a new shooting schedule 412 including the newly set shooting range 103. According to this, the position of the shooting range 103 is controlled to be moved. Therefore, the photographing range 103 including the gas detecting device 21 that has detected the gas can be included in the plurality of photographing ranges 103.

A third modification will be described. As described with reference to FIGS. 13 to 15, in the embodiment, pixels having a value larger than a predetermined threshold value are regarded as pixels constituting the gas image 121, and pixels having a value equal to or lower than the threshold value are regarded as the pixels having a value equal to or lower than the threshold value. A moving image of the visualized image Im2 is generated by regarding it as a pixel that does not constitute the above (the same applies to the first modification and the second modification). In the third modification, a moving image of the visualized image Im2 is generated by another method.

Since the block diagram of the gas detection system according to the third modification is the same as the block diagram of the gas detection system 1 shown in FIG. 1A, the third modification will be described with reference to FIG. 1A.

As described above, the surveillance image Im1 (FIGS. 13 to 15) is an image processed (predetermined processing) that makes it easier to see the image showing the leaking gas with respect to the infrared image Im0 in the surveillance region. (First image). The image processing unit 13 divides the moving image of the surveillance image Im1 in units of predetermined periods (for example, in units of 10 seconds). The divided unit is a divided video. The image processing unit 13 determines whether or not there is a gas candidate image 111 whose period of time captured in the divided moving image exceeds a predetermined value (for example, 6 seconds) among the gas candidate images 111 captured in the divided moving image. do. The image processing unit 13 considers the gas candidate image 111 whose period captured in the divided moving image exceeds a predetermined value as the gas image 121, and the gas candidate image 111 whose period captured in the divided moving image is equal to or less than the predetermined value is the gas image 121. It is considered that it is not, and a divided moving image in which the gas image 121 is captured is generated. The image processing unit 13 generates a moving image of the visualized image Im2 by executing the above processing for each divided moving image.

When the gas detection device 21 detects gas, the sensitivity setting unit 14 sets the predetermined value smaller than before the detection (for example, 4 seconds) to make the gas detection sensitivity smaller than before the detection. Set high.

The operation of the third modification will be described as being different from the flowchart shown in FIG. In step S11, the image processing unit 13 sets a predetermined value (for example, 6 seconds) and generates a moving image of the visualized image Im2. When gas is detected (Yes in step S14), instead of step S15, a predetermined value is set smaller than before gas detection (for example, 4 seconds). As a result, the sensitivity of gas detection is set high. In step S16, the image processing unit 13 generates a moving image of the visualized image Im2 under a setting where the predetermined value is small.

1,1a, 1b Gas detection system 3 Main unit (image processing device for gas visualization)
21, 21-1 to 21-3 Non-image type gas detector 31 Electric pan head 103-1 to 103-7 Shooting range 111-1 to 111-8 Gas candidate image 121-1 to 121-5 Gas image GS gas Detection signal Im0 Infrared image Im1 Surveillance image Im2 Visualized image

Claims (11)

An image processing device for gas visualization that visualizes gas leaking to the monitoring area.
An image processing unit that generates a visualized image by performing image processing for visualizing gas on the image in the monitoring area taken by the photographing device.
The sensitivity of gas detection can be set, and when the sensitivity is set to be high, the gas is easily visualized in the image processing, and when the sensitivity is set to be low, the gas is visualized in the image processing. When the non-image type gas detection device installed in the monitoring area detects gas, the sensitivity setting unit that sets the sensitivity higher than that before the detection, and the sensitivity setting unit.
An image output unit that outputs the visualization image generated by the image processing unit under a high sensitivity setting is provided.
The image processing unit regards a pixel having a value larger than a predetermined threshold value as a pixel constituting a gas image, and a pixel having a value equal to or lower than the threshold value as a pixel not forming the gas image. Generate a visualization image ,
When the non-image type gas detection device detects gas, the sensitivity setting unit sets the threshold value lower than that before the detection, thereby setting the sensitivity higher than before the detection. , Image processing device for gas visualization. The sensitivity setting unit stores in advance a predetermined value capable of visualizing disturbance noise as the threshold value, and when the non-image type gas detection device detects gas, the threshold value is lowered to obtain the above threshold value. The image processing apparatus for gas visualization according to claim 1 , which sets a predetermined value. A position information storage unit that stores position information indicating the position of the imaging range of the imaging device into which the non-image type gas detection device is inserted, and a position information storage unit.
When the non-image type gas detection device detects gas, a shooting range determination unit that determines whether or not the non-image type gas detection device is included in the shooting range based on the position information, and a shooting range determination unit.
When the shooting range determination unit determines that the non-image type gas detection device is not included in the shooting range, the non-image is included in the shooting range with respect to a position changing mechanism capable of changing the position of the shooting range. The image processing device for gas visualization according to claim 1 or 2 , further comprising a mechanism control unit for controlling the entry of the gas detection device of the type. A position information storage unit that stores position information indicating the position of the imaging range of the imaging device into which the non-image type gas detection device is inserted, and a position information storage unit.
A mechanism control unit that controls a position changing mechanism that can change the position of the shooting range and changes the position of the shooting range according to a shooting schedule of a plurality of shooting ranges having different positions.
When the non-image type gas detection device detects gas, a picture is taken to determine whether or not the non-image type gas detection device is included in any of the plurality of shooting ranges based on the position information. Further equipped with a range judgment unit,
When the mechanism control unit determines that the non-image type gas detection device is not included in any of the plurality of shooting ranges, the shooting range determination unit enters the non-image type gas detection device. The gas according to claim 1 or 2 , wherein a range is newly set, and the position changing mechanism is controlled to change the position of the shooting range according to the new shooting schedule including the newly set shooting range. Image processing device for visualization. The sensitivity setting unit sets the sensitivity higher than that before the detection in the generation of the visualization image of the shooting range including the non-image type gas detection device that has detected the gas among the plurality of shooting ranges. The image processing apparatus for gas visualization according to claim 4 . It is an image processing method for gas visualization that visualizes the gas leaking to the monitoring area.
An image processing step of generating a visualized image by performing image processing for visualizing gas on the image of the monitoring area taken by the photographing apparatus by the image processing unit.
The sensitivity of gas detection can be set, and when the sensitivity is set to be high, the gas is easily visualized in the image processing, and when the sensitivity is set to be low, the gas is visualized in the image processing. When the non-image type gas detection device installed in the monitoring area detects gas, the sensitivity setting step for setting the sensitivity higher than that before the detection, and the sensitivity setting step.
It is provided with an image output step in which the image output unit outputs the visualized image generated in the image processing step under the condition that the sensitivity is set high.
In the image processing step, pixels having a value larger than a predetermined threshold value are regarded as pixels constituting the gas image, and pixels having a value equal to or lower than the threshold value are regarded as pixels not forming the gas image. Generate a visualization image ,
In the sensitivity setting step, when the non-image type gas detection device detects gas, the sensitivity is set higher than before the detection by setting the threshold value to be lower than before the detection. , Image processing method for gas visualization. An image processing program for gas visualization that visualizes gas leaking to the monitoring area.
An image processing step of generating a visualized image by performing image processing for visualizing gas on the image of the monitoring area taken by the photographing apparatus by the image processing unit.
The sensitivity of gas detection can be set, and when the sensitivity is set to be high, the gas is easily visualized in the image processing, and when the sensitivity is set to be low, the gas is visualized in the image processing. When the non-image type gas detection device installed in the monitoring area detects gas, the sensitivity setting step for setting the sensitivity higher than that before the detection, and the sensitivity setting step.
An image processing program for gas visualization, which causes a computer to execute an image output step in which an image output unit outputs the visualization image generated in the image processing step under a high sensitivity setting.
In the image processing step, pixels having a value larger than a predetermined threshold value are regarded as pixels constituting the gas image, and pixels having a value equal to or lower than the threshold value are regarded as pixels not forming the gas image. Generate a visualization image ,
In the sensitivity setting step, when the non-image type gas detection device detects gas, the sensitivity is set higher than before the detection by setting the threshold value to be lower than before the detection. , Image processing program for gas visualization. An image processing device for gas visualization that visualizes gas leaking to the monitoring area .
An image processing unit that generates a visualized image by performing image processing for visualizing gas on the image in the monitoring area taken by the photographing device .
The sensitivity of gas detection can be set, and when the sensitivity is set to be high, the gas is easily visualized in the image processing, and when the sensitivity is set to be low, the gas is visualized in the image processing. When the non-image type gas detection device installed in the monitoring area detects gas, the sensitivity setting unit that sets the sensitivity higher than that before the detection, and the sensitivity setting unit .
An image output unit that outputs the visualization image generated by the image processing unit under a high sensitivity setting is provided .
The image processing unit has the gas candidate image captured in the first image generated by performing predetermined processing on the image in the monitoring region, and the period captured in the first image exceeds a predetermined value. The gas candidate image is regarded as a gas image, and the visualization image in which the gas image is copied is generated .
When the non-image type gas detection device detects gas, the sensitivity setting unit sets the sensitivity higher than before the detection by setting the predetermined value smaller than before the detection. Image processing device for gas visualization . An image processing device for gas visualization that visualizes gas leaking to the monitoring area .
An image processing unit that generates a visualized image by performing image processing for visualizing gas on the image in the monitoring area taken by the photographing device .
The sensitivity of gas detection can be set, and when the sensitivity is set to be high, the gas is easily visualized in the image processing, and when the sensitivity is set to be low, the gas is visualized in the image processing. When the non-image type gas detection device installed in the monitoring area detects gas, the sensitivity setting unit that sets the sensitivity higher than that before the detection, and the sensitivity setting unit .
An image output unit that outputs the visualization image generated by the image processing unit under a high sensitivity setting, and an image output unit .
A position information storage unit that stores position information indicating the position of the imaging range of the imaging device into which the non-image type gas detection device is inserted, and a position information storage unit .
When the non-image type gas detection device detects gas, a shooting range determination unit that determines whether or not the non-image type gas detection device is included in the shooting range based on the position information, and a shooting range determination unit .
When the shooting range determination unit determines that the non-image type gas detection device is not included in the shooting range, the non-image is included in the shooting range with respect to a position changing mechanism capable of changing the position of the shooting range. An image processing device for gas visualization, including a mechanism control unit that controls the entry of a gas detection device of the type . An image processing device for gas visualization that visualizes gas leaking to the monitoring area .
An image processing unit that generates a visualized image by performing image processing for visualizing gas on the image in the monitoring area taken by the photographing device .
The sensitivity of gas detection can be set, and when the sensitivity is set to be high, the gas is easily visualized in the image processing, and when the sensitivity is set to be low, the gas is visualized in the image processing. When the non-image type gas detection device installed in the monitoring area detects gas, the sensitivity setting unit that sets the sensitivity higher than that before the detection, and the sensitivity setting unit .
An image output unit that outputs the visualization image generated by the image processing unit under a high sensitivity setting, and an image output unit .
A position information storage unit that stores position information indicating the position of the imaging range of the imaging device into which the non-image type gas detection device is inserted, and a position information storage unit .
A mechanism control unit that controls a position changing mechanism that can change the position of the shooting range and changes the position of the shooting range according to a shooting schedule of a plurality of shooting ranges having different positions .
When the non-image type gas detection device detects gas, a picture is taken to determine whether or not the non-image type gas detection device is included in any of the plurality of shooting ranges based on the position information. Equipped with a range judgment unit
When the mechanism control unit determines that the non-image type gas detection device is not included in any of the plurality of shooting ranges, the shooting range determination unit enters the non-image type gas detection device. An image processing device for gas visualization that newly sets a range, controls the position changing mechanism according to the new shooting schedule including the newly set shooting range, and changes the position of the shooting range . A gas detection system comprising the image processing device for gas visualization according to any one of claims 1 to 5 and 8 to 10 and a non-image type gas detection device.

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