CN114689804B - Method for intelligently monitoring dangerous gas leakage based on VOC (volatile organic compound) gas cloud imaging - Google Patents
Method for intelligently monitoring dangerous gas leakage based on VOC (volatile organic compound) gas cloud imaging Download PDFInfo
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Abstract
A method for intelligently monitoring leakage of dangerous gas based on VOC (volatile organic compound) gas cloud imaging belongs to the technical field of data identification and processing. According to the invention, meteorological data and VOC data are combined, electronic equipment is used for identifying and processing visible light image data and infrared light image data, and dangerous leakage gas is intelligently monitored. According to the invention, the azimuth angle of the leakage source is judged by using meteorological data, a large-scale monitoring area can be monitored by using a small amount of monitoring equipment, and meanwhile, the leakage position can be rapidly determined. The invention utilizes the PID sensor to detect the total amount of VOC and responds to VOC leakage in time. According to the invention, the leakage position of the VOC is determined by utilizing the invisible characteristic of the leakage gas VOC under the visible light and the characteristic of higher temperature and diffusibility during leakage, and utilizing the difference of the infrared thermal imaging and the visible light pictures in the same monitoring area, so that the smoke and water vapor interference can be eliminated, the accuracy is high, and a sample training library is not needed.
Description
Technical Field
The invention belongs to the technical field of data identification and processing, and relates to a method for identifying by using electronic equipment; in particular to a method for intelligently monitoring dangerous leakage gas by combining meteorological data and VOC data, and performing identification processing on visible light image data and infrared light image data by using electronic equipment.
Background
The chemical industry garden key device has the leakage of sudden dangerous gas in the production process, and this gas is generally VOC, because the difficult nature of catching and the uncertainty of revealing the position that colorless gas revealed, traditional fixed point monitoring hardly covers the device region entirely, is difficult to judge promptly and reveal specific position.
The invention application of China with publication number of CN109686059A discloses a VOCs leakage monitoring and tracing system and a method, which realize on-line monitoring, alarming and tracing by collecting meteorological parameters and infrared images of VOCs leakage and comprehensively analyzing a tracing leakage area and suspected leakage parts on line through an expert system. According to the technical scheme, the data acquisition units and the infrared cameras are required to be erected in each device area of the factory, if the device areas are required to be covered comprehensively, the cost is too high, and meanwhile, the utilization rate of monitoring equipment is extremely low.
The Chinese patent application with publication number of CN113470050A discloses a method for identifying and quantifying VOC leakage by utilizing double-spectrum image analysis, which adopts an image identification technology to identify smoke emission such as VOC pollution leakage in a visible light image, identifies and separates an infrared thermal imaging high-temperature heat source area, judges high-temperature gas emission, thereby realizing judgment of VOC leakage or emission behavior, and finally estimates the instantaneous emission and the total emission for a certain period of time by combining data such as the radius of an emission hole. The technical scheme of the application achieves good effect in practical application, but has some defects that further improvement is needed: (1) The VOC leakage or emission is judged by simply relying on image analysis and identification, certain hysteresis exists, and the response speed still has room for improvement. (2) The method for image recognition by means of the sample training library has a certain limitation, and when a monitored object does not have a corresponding sample in the sample training library, the recognition result is easy to deviate.
What is needed is a method for intelligently monitoring hazardous gas leakage that has a faster response speed and higher accuracy.
Disclosure of Invention
The invention aims to provide a method for intelligently monitoring dangerous gas leakage based on VOC (volatile organic compound) gas cloud imaging, which combines meteorological data and VOC data, performs identification processing on visible light image data and infrared light image data by using electronic equipment, and intelligently monitors dangerous leakage gas so as to improve response speed and accuracy. The aim of the invention is achieved by the following technical scheme.
The method for intelligently monitoring the leakage of the dangerous gas based on the VOC gas cloud imaging is characterized by comprising the following steps of:
(1) The intelligent monitoring equipment comprises a motor turntable, a visible light camera, an infrared thermal imaging camera, a PID sensor (Photo Ionization Detectors photoionization detector) and a meteorological measurement module, wherein the visible light camera, the infrared thermal imaging camera, the PID sensor (Photo Ionization Detectors photoionization detector) and the meteorological measurement module are positioned on the motor turntable, and meanwhile, VOC total amount data, meteorological data and infrared thermal imaging video stream and visible light video stream of a monitoring area are collected and transmitted to a remote computing processing device.
(2) And uniformly processing the total VOC (volatile organic compound) data, the meteorological data, the visible light video stream and the infrared thermal imaging video stream in time, and then sequentially overlapping the total VOC data and the meteorological data into each frame of image of the video stream to realize the integrated display of the data.
(3) When the total amount of VOCs data exceeds a threshold, an approximate area of the leakage source is determined from the meteorological data.
(4) And (3) rotating a motor turntable, aiming the infrared thermal imaging camera and the visible light camera at the approximate area and the periphery determined in the step (3), intercepting a visible light picture p1 and an infrared thermal imaging picture p2, and scaling the pictures p1 and p2 to the same pixel.
(5) The gradation processing is performed on the pictures p1 and p2, respectively, to obtain processed pictures pg1 and pg2.
(6) The pictures pg2, j and k are detected by sliding with a fixed step length according to j×k pixels as a unit cell. The fixed step size is a number of pixels, for example 1-5 pixels.
(7) When the nth cell is found from the picture pg2 n The pixel value meets the overall off-white characteristic, and the possibility of smoke, water vapor and VOC leakage is primarily judged; detecting a corresponding cell in the picture pg1 n It is determined whether its pixel value satisfies the global off-white characteristic and if not, it is determined that VOC leakage exists there.
The principle of the method for judging VOC leakage is as follows: the pixel value of a certain area in the picture after the infrared thermal imaging gray level processing is biased towards white as a whole, so that VOC leakage exists at the position, and smoke and water vapor exist at the position; and detecting a corresponding region in the picture subjected to visible light gray scale treatment, and if the corresponding region is not satisfied, indicating that smoke and water vapor are not present at the position, thereby determining that VOC leakage exists at the position.
Further, the rotation angle range of the motor turntable is as follows: horizontal 0 ° to 360 °, vertical-45 ° to 45 °.
Further, the meteorological data includes wind speed and wind direction data.
Further, the specific method for determining the approximate area of the leakage source according to the meteorological data in the step (3) is as follows: if the angle of the wind direction relative to the intelligent monitoring equipment is a DEG, the approximate area of the leakage source is in a sector area with the angle of (a+180) DEG + -b DEG relative to the intelligent monitoring equipment, and b is adjusted according to the wind speed.
Further, step (4) scales pictures p1 and p2 to the same pixel, with a pixel range of 400×300 to 1200×900.
Further, the specific method for gray scale processing in the step (5) is as follows: transformation was performed using the cvinvoke.cvtcolor in the open source library, mgu.cv.
Further, the value range of the j and k in the step (6) is 100-300.
Further, the pixel value in step (7) meets the criteria of the overall off-white characteristic as follows: and calculating the color value component R, G, B mean value of each pixel point in the unit, and when the proportion of the pixel points with the color value component R, G, B mean value larger than 220 to the total pixel points exceeds 50%, determining that the pixel values meet the overall off-white color system characteristic.
Further, the method also comprises the step (8): and (3) estimating the VOC concentration value of the leakage source according to the Gaussian model, analyzing the VOC leakage variation through comparing the concentration values at different times, and superposing the VOC leakage area and the leakage variation in the real-time video image in the step (2).
Further, a specific method for estimating the VOC concentration value of the leakage source according to the gaussian model is to solve the following equation:
wherein:
c: the concentration of contaminants at a spatial point (x, y, z), i.e. the concentration measured by a PID sensor, is in mg/m 3 ；
σ y 、σ z Respectively the standard deviation in the horizontal and vertical directions, i.e. the diffusion parameters in the y and z directions, are communicatedIs obtained by consulting national standard GB/T3840-1991 technical method for setting local atmospheric pollutant emission standard, and has no unit;
u: wind speed, namely the wind speed measured by the meteorological module, is m/s;
x: the distance between the point location of the intelligent monitoring equipment and the leakage device is measured in m during installation;
y: the intelligent monitoring equipment point location and the transverse deviation of the leakage point are taken as x/5 in m for the convenience of calculation;
and z: the point position height of the intelligent monitoring equipment is measured during installation, and the unit is m;
h: the height of the leakage source is m, which is the installation height of the intelligent monitoring equipment for the convenience of calculation;
q: parameters to be calculated are the emission concentration value of the VOC of the leakage source, and the unit is mg/m 3 。
The method provided by the invention can judge the approximate area of the leakage source by using the meteorological data, and can monitor a large-scale monitoring area by adopting a small amount of monitoring equipment; and meanwhile, the leakage position is rapidly determined by utilizing the image data identification processing result. The method provided by the invention has the advantages that the total VOC is detected by the PID sensor, the VOC leakage can be responded in time, and the response speed is improved. According to the method provided by the invention, the leakage position of the VOC is determined by utilizing the invisible characteristic of the leakage gas VOC under the visible light and the characteristic of higher temperature and diffusibility during leakage, and utilizing the difference between the infrared thermal imaging picture and the visible light picture of the same monitoring area, so that the flue gas and water vapor interference can be eliminated, the accuracy is high, and a sample training library is not needed.
Drawings
Fig. 1 is a schematic structural diagram of a VOC gas cloud imaging intelligent monitoring device. In the figure: the system comprises a 1-visible light camera, a 2-infrared thermal imaging camera, a 3-PID sensor, a 4-weather measurement module, a 5-network switch, a 6-data acquisition card, a 7-motor turntable and an 8-computer.
Fig. 2 is a photograph after visible light gradation processing.
Fig. 3 is a photograph after infrared thermal imaging gray scale processing.
Fig. 4 is a schematic diagram of the slip detection process.
Fig. 5 is a picture of the hazardous gas VOC leakage identified.
Detailed Description
The technical scheme of the invention is clearly and completely described below with reference to the attached drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or quantity or position.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
A method for intelligently monitoring hazardous gas leakage based on VOC (volatile organic compound) gas cloud imaging comprises the following steps:
(1) And setting VOC (volatile organic compound) gas cloud imaging intelligent monitoring equipment at the selected place. As shown in fig. 1, the intelligent monitoring device comprises a motor turntable 7, a visible light camera 1, an infrared thermal imaging camera 2, a PID sensor 3, a weather measurement module 4, a network switch 5 and a data acquisition card 6 which are positioned on the motor turntable, and a computer 8. The visible light camera 1 is used for collecting real-time visible light videos, the infrared thermal imaging camera 2 is used for collecting real-time infrared thermal imaging videos, the PID sensor 3 is used for collecting VOC total amount data, and the meteorological module 4 is used for collecting meteorological data such as wind speed, wind direction and the like. The PID sensor 3 and the meteorological module 4 are connected to the data acquisition card 6 through 485 serial lines, the visible light camera 1, the infrared thermal imaging camera 2 and the data acquisition card 6 are connected with the network switch 5 through a network cable or a wireless network, and the network switch 5 and the computer 8 are connected through the network cable or the wireless network.
(2) The computer 8 performs unified processing on Total VOC (TVOC) data, meteorological data, visible light video stream and infrared thermal imaging video stream in time, and then sequentially superimposes the total VOC data and the meteorological data into each frame of image of the video stream, so that integrated display of the data is realized.
(3) When the total amount of VOCs data exceeds a threshold, an approximate area of the leakage source is determined from the meteorological data.
(4) And (3) rotating the motor turntable 7, aligning the visible light camera 1 and the infrared thermal imaging camera 2 with the approximate area and the peripheral observation determined in the step (3), intercepting the visible light picture p1 and the infrared thermal imaging picture p2, and scaling the pictures p1 and p2 to the same pixel 800 multiplied by 600.
(5) Respectively carrying out gray scale processing on the pictures p1 and p2 to obtain a processed picture pg1, as shown in fig. 2; and the processed picture pg2 as shown in fig. 3.
(6) The step size is one pixel point sliding detection picture pg2 according to 150×150 pixels as one unit cell. The detection process is shown in fig. 4, starting from the position of the sequence number a, sliding and detecting the position of the sequence number b according to the step length of 1 pixel, then shifting one pixel downwards, shifting and detecting the position of the sequence number c to the left according to the step length of 1 pixel, and traversing the whole picture.
(7) And calculating the color value component R, G, B mean value of each pixel point in the unit, and when the proportion of the pixel points with the color value component R, G, B mean value larger than 220 to the total pixel points exceeds 50%, determining that the pixel values meet the overall off-white color system characteristic. When the nth cell is found from the picture pg2 n The pixel value meets the overall off-white characteristic, and the possibility of smoke, water vapor and VOC leakage is primarily judged; detecting a corresponding cell in the picture pg1 n Whether the pixel value thereof satisfies the overall off-white characteristic or not, and if not, determining that there is VOC leakage.
(8) Estimating the VOC concentration value of the leakage source according to the Gaussian model, analyzing the VOC leakage variation by comparing the concentration values at different times, and superposing the VOC leakage area and the leakage variation in the real-time video image of the step (2), as shown in fig. 5.
Although embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives, and variations may be made in the above embodiments by those skilled in the art without departing from the spirit and principles of the invention. The protection scope of the present invention is defined by the claims and the equivalents thereof.
Claims (10)
1. The method for intelligently monitoring the leakage of the dangerous gas based on the VOC gas cloud imaging is characterized by comprising the following steps of:
(1) The method comprises the steps that VOC gas cloud imaging intelligent monitoring equipment is arranged at a selected place, and comprises a motor turntable, a visible light camera, an infrared thermal imaging camera, a PID sensor and a meteorological measurement module which are positioned on the motor turntable, and meanwhile, VOC total amount data, meteorological data, infrared thermal imaging video stream and visible light video stream of a monitoring area are collected and transmitted to remote computing processing equipment;
(2) Uniformly processing the VOC total data, the meteorological data, the visible light video stream and the infrared thermal imaging video stream in time, and then sequentially overlapping the VOC total data and the meteorological data into each frame of image of the video stream to realize the integrated display of the data;
(3) Determining an approximate area of the leakage source from the meteorological data when the VOC aggregate data exceeds a threshold value;
(4) Rotating a motor turntable, aiming the infrared thermal imaging camera and the visible light camera at the approximate area and the periphery determined in the step (3), intercepting a visible light picture p1 and an infrared thermal imaging picture p2, and scaling the pictures p1 and p2 to the same pixel;
(5) Respectively carrying out gray scale processing on the pictures p1 and p2 to respectively obtain processed pictures pg1 and pg2;
(6) According to j×k pixels as a unit cell, sliding detection pictures pg2 with fixed step length, wherein j and k are positive integers;
(7) When the nth cell is found from the picture pg2 n The pixel value meets the overall off-white characteristic, and the possibility of smoke, water vapor and VOC leakage is primarily judged; detecting a corresponding cell in the picture pg1 n It is determined whether its pixel value satisfies the global off-white characteristic and if not, it is determined that VOC leakage exists there.
2. The method of claim 1, wherein the motor turret rotation angle range is: horizontal 0 ° to 360 °, vertical-45 ° to 45 °.
3. The method of claim 1, wherein the meteorological data comprises wind speed and wind direction data.
4. The method of claim 1, wherein the specific method of determining the approximate area of the leakage source from the weather data in step (3) is: if the angle of the wind direction relative to the intelligent monitoring equipment is a DEG, the approximate area of the leakage source is in a sector area with the angle of (a+180) DEG + -b DEG relative to the intelligent monitoring equipment, and b is adjusted according to the wind speed.
5. The method of claim 1, wherein step (4) scales pictures p1 and p2 to the same pixel, the pixel range being 400 x 300 to 1200 x 900.
6. The method of claim 1, wherein the specific method of gray scale processing in step (5) is: transformation was performed using the cvinvoke.cvtcolor in the open source library, mgu.cv.
7. The method of claim 1, wherein the values of steps (6) j, k range from 100 to 300.
8. The method of claim 1, wherein the step (7) pixel values satisfy the criteria for global off-white characteristics is: and calculating the color value component R, G, B mean value of each pixel point in the unit, and when the proportion of the pixel points with the color value component R, G, B mean value larger than 220 to the total pixel points exceeds 50%, determining that the pixel values meet the overall off-white color system characteristic.
9. The method of claim 1, further comprising step (8): and (3) estimating the VOC concentration value of the leakage source according to the Gaussian model, analyzing the VOC leakage variation through comparing the concentration values at different times, and superposing the VOC leakage area and the leakage variation in the real-time video image in the step (2).
10. The method of claim 1, wherein estimating the VOC concentration value of the leakage source from a gaussian model is performed by solving according to the following formula:
wherein:
c: the concentration of contaminants at a spatial point (x, y, z), i.e. the concentration measured by a PID sensor, is in mg/m 3 ；
σ y 、σ z The standard deviation in the horizontal direction and the standard deviation in the vertical direction, namely the diffusion parameters in the y direction and the z direction, are obtained by consulting national standard GB/T3840-1991 technical method for preparing local atmospheric pollutant emission standards, and have no units;
u: wind speed, namely the wind speed measured by the meteorological module, is m/s;
x: the distance between the point location of the intelligent monitoring equipment and the leakage device is measured in m during installation;
y: the intelligent monitoring equipment point location and the transverse deviation of the leakage point are taken as x/5 in m for the convenience of calculation;
and z: the point position height of the intelligent monitoring equipment is measured during installation, and the unit is m;
h: the height of the leakage source is m, which is the installation height of the intelligent monitoring equipment for the convenience of calculation;
q: parameters to be calculated are the emission concentration value of the VOC of the leakage source, and the unit is mg/m 3 。
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| CN116682070B (en) * | 2023-08-03 | 2024-05-28 | 武汉工程大学 | Infrared video detection method and system for dangerous gas leakage under complex scene |
| CN117233119B (en) * | 2023-11-10 | 2024-01-12 | 北京环拓科技有限公司 | Method for identifying and quantifying VOC (volatile organic compound) gas cloud image by combining sensor calibration module |
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