CN110400324B - Gas concentration analysis system - Google Patents
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Abstract
A gas concentration analysis system, comprising: the image acquisition device is used for acquiring an image of a fog mass generated by atomization after gas or liquid leaks in a specified scene to obtain a fog mass image; and the data processing device is connected with the image acquisition device and is used for determining the gas diffusion distances at different concentrations of the leaked gas according to the fog cluster image. According to the system, the combustible gas cloud range can be predicted under different concentrations according to the vaporific visible region generated after low-temperature gas or liquid leaks, so that the non-contact type combustible gas cloud can be effectively predicted, emergency personnel can be effectively prevented from blindly entering the leakage region, and meanwhile, emergency rescue and other related work can be guided.
Description
Technical Field
The invention relates to the technical field of liquefied gas, in particular to a gas concentration analysis system, and particularly relates to a low-temperature combustible gas concentration analysis system.
Background
The main component of Liquefied Natural Gas (LNG) is methane, which has a boiling point of-162 ℃. With the adjustment of energy structures and the improvement of environmental requirements, LNG is rapidly developed.
After LNG leaks to the ground, due to the very low LNG temperature (-162 ℃), there is initially a vigorous boil-off and boil-off, with the ambient temperature decreasing, the LNG vaporization rate decreases rapidly, while the LNG vapor diffuses along the ground, continuously absorbs heat from the environment, gradually rises to diffuse, and cools the ambient air to below zero, forming a visible cloud resembling a "white fog".
The LNG vapor cloud formed after LNG leaks mixes with air to form an explosive mixture. When the volume fraction of methane is within its explosive limit (5% to 15%), it is possible to initiate an explosion or a fire. Whether the explosion accident happens after the LNG leaks or not has a close relation with the gas concentration after the LNG leaks.
The 'white fog' shaped cloud cluster after LNG leakage can cause great difficulty for leakage emergency personnel, so that the emergency personnel can not distinguish the concentration of combustible gas in a 'white fog' area, and further the emergency blind expansion or rescue delay situation is caused.
Disclosure of Invention
To solve the above problems, the present invention provides a gas concentration analysis system, including:
the image acquisition device is used for acquiring an image of a fog mass generated by atomization after gas or liquid leaks in a specified scene to obtain a fog mass image;
and the data processing device is connected with the image acquisition device and is used for determining the gas diffusion distances at different leaked concentrations according to the fog cluster image.
According to one embodiment of the present invention, the data processing apparatus includes:
the image analysis module is connected with the image acquisition device and used for carrying out image analysis on the fog cluster image to obtain fog cluster size information;
and the diffusion distance determining module is connected with the image analysis module and is used for determining the gas diffusion distances at different concentrations of the leaked gas according to the size information of the fog clusters.
According to one embodiment of the invention, the image analysis module is configured to:
carrying out image analysis on the fog cluster image, and determining an image origin point and a fog cluster boundary point from the fog cluster image;
and determining the distance between the image origin and the fog cluster boundary point to obtain the fog cluster size information.
According to an embodiment of the invention, the image analysis module is configured to determine a plurality of fog cloud boundary points from the fog cloud image, and determine a distance between the image origin and each fog cloud boundary point to obtain the fog cloud size information.
According to an embodiment of the invention, the image analysis module is configured to perform image analysis on the fog cloud image, determine an area of a fog cloud in the fog cloud image, and obtain the size information of the fog cloud.
According to one embodiment of the invention, the system further comprises:
the environment physical information acquisition device is used for acquiring environment physical information of the environment where the fog cluster is located;
the data processing device is configured to determine gas diffusion distances at different concentrations of the leaked gas by integrating the cloud image and the environmental physical information.
According to an embodiment of the present invention, the environmental physical information collecting apparatus includes:
and the humidity sensor is used for acquiring the atmospheric humidity information of the environment where the humidity sensor is positioned.
According to one embodiment of the invention, the diffusion distance determination module is configured to determine the diffusion distance of the gas leaking out at different concentrations according to the fog cluster size information and the inflation humidity information based on a preset gas concentration relation model.
According to one embodiment of the invention, the system further comprises:
a data storage device for storing normal image information when no gas or liquid leakage occurs in the specified scene;
and the data processing device is connected with the data storage device and used for generating corresponding indication profiles according to the determined gas diffusion distances at different concentrations and generating corresponding indication images by combining the indication profiles and the normal image information.
According to one embodiment of the invention, the system further comprises:
and the display device is connected with the data processing device and is used for visually displaying the indication image.
The gas concentration analysis system provided by the invention is mainly used for predicting the combustible gas cloud range of low-temperature combustible gas, and specifically can predict the combustible gas cloud range under different concentrations according to the vaporific visible region generated after the low-temperature gas or liquid leaks, so that the effective prediction of non-contact combustible gas cloud is realized, emergency personnel can be effectively prevented from entering the leaking region blindly, and meanwhile, emergency rescue and other related work can be guided.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required in the description of the embodiments or the prior art:
FIG. 1 is a schematic diagram of a gas concentration analysis system according to one embodiment of the present invention;
FIG. 2 is a schematic diagram of a data analysis apparatus according to an embodiment of the present invention;
FIG. 3 is a graph of distances of different concentrations according to one embodiment of the present invention.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments of the present invention may be combined with each other, and the technical solutions formed are within the scope of the present invention.
In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without some of these specific details or with other methods described herein.
In recent years, Liquefied Natural Gas (LNG) and Liquefied Petroleum Gas (LPG) have been widely used. Meanwhile, leakage accidents of liquefied natural gas and liquefied petroleum gas sometimes occur. Because the temperature of liquefied natural gas and liquefied petroleum gas is lower, so it can absorb the external heat and produce a large amount of "white fog" form air mass after leaking, because leak emergency personnel can't confirm the gas concentration of "white fog" regional combustible gas, this has just also caused very big difficulty for leaking emergency personnel, thereby causes the condition of emergent blind enlargement or rescue delay.
Aiming at the problems in the prior art, the invention provides a novel gas concentration analysis system which realizes effective prediction of the combustible gas concentration of a non-contact combustible gas mass through analysis of an atomized gas mass, so that emergency personnel are prevented from entering a combustible gas leakage area blindly.
Fig. 1 shows a schematic structural diagram of a gas concentration analysis system provided in this embodiment.
As shown in fig. 1, the gas concentration analysis system provided in the present embodiment preferably includes: an image acquisition device 101, an environmental physical information acquisition device 102 and a data processing device 103. The image acquisition device 101 is configured to acquire an image of a fog cloud generated by atomization after gas or liquid leaks in a specified scene, and obtain an image of the fog cloud.
When the low-temperature gas or the low-temperature liquid leaks, the temperature of the low-temperature gas or the low-temperature liquid is lower than the external temperature, so that the liquid or the gas can absorb external heat after leaking, and the ambient air is liquefied to form 'white fog'. The low temperature is a temperature at which a mist can be generated after leakage into the atmospheric environment, and the present invention is not limited to a specific temperature value of the low temperature.
In this embodiment, the image capturing device 101 can capture an image of a fog cloud generated by leakage of a cryogenic gas or cryogenic liquid, thereby obtaining a fog cloud image. It should be noted that, in different embodiments of the present invention, the image capturing device 101 may employ a single lens camera or a dual lens camera to photograph a specified scene (i.e., a leakage area), so as to obtain a planar image or a stereoscopic image containing fog clusters.
Of course, in other embodiments of the present invention, the image capturing device 101 may be matched with other reasonable devices to capture images more clearly and accurately according to actual situations. For example, in an embodiment of the present invention, for a scene with dark light, such as night, the image capturing device 101 may further be configured with an external light source (e.g., a flash) to capture an image of a leakage area.
The environmental physical information collecting device 102 can collect the environmental physical information of the foggy mass. Specifically, in the present embodiment, the environmental physical information collection device 102 preferably includes a humidity sensor. The humidity sensor is used for acquiring the atmospheric humidity information of the environment (such as the position of the humidity sensor or the periphery of the humidity sensor) where the humidity sensor is located.
Of course, in other embodiments of the present invention, the environmental physical information collecting device 102 may include other reasonable items not listed according to actual needs, and the present invention is not limited thereto. For example, in one embodiment of the present invention, the environmental physical information collecting device 102 may further include devices such as a temperature sensor, a wind direction sensor, and a wind speed sensor.
As shown in fig. 1, in the present embodiment, the data processing device 103 is connected to the image capturing device 101 and the environmental physical information capturing device 102, and is capable of determining the gas diffusion distances at different concentrations of the leaked gas according to the image of the foggy mass transmitted by the image capturing device 101 and the environmental physical information transmitted by the environmental physical information capturing device 102.
Specifically, as shown in fig. 2, in the present embodiment, the data processing apparatus 103 preferably includes: an image analysis module 201 and a diffusion distance determination module 202. The image analysis module 201 is connected to the image capture device 101, and is capable of obtaining the size information of the foggy mass by performing image processing on the foggy mass image transmitted by the image capture device 101.
In this embodiment, the image analysis module 201 first analyzes the fog cloud image transmitted by the image capture device 101, and determines an image origin and a fog cloud boundary point from the fog cloud image. Specifically, in this embodiment, the image analysis module 201 preferably determines the outline of the fog cloud included in the fog cloud image by performing outline recognition on the fog cloud image, and then determines the fog cloud boundary point based on the outline of the fog cloud. Wherein the fog cloud boundary point is located on the outline of the fog cloud. As shown in fig. 3, it can be seen that white mist, i.e., mist cloud generated after the low-temperature gas or liquid leaks, and a point a on the contour of the mist cloud is a boundary point of the mist cloud.
In this embodiment, the image analysis module 201 preferably identifies the farthest point of the wind-direction edge on the fog cluster, and takes this point as the image origin, which is the leakage source point. Of course, in other embodiments of the present invention, the image analysis module 201 may also determine the image origin in other reasonable manners, and the present invention is not limited thereto.
It should be noted that, in other embodiments of the present invention, the image analysis module 201 may also directly perform two-dimensional image recognition on the fog cloud image transmitted by the image capturing device 101 to distinguish the fog cloud area and the background area around the fog cloud area.
After the image origin and the fog cloud boundary point are determined, in this embodiment, the image analysis module 201 determines a distance between the image origin and the fog cloud boundary point, so as to obtain the fog cloud size information.
Since the connecting line between the image origin and one fog cloud boundary point can only represent the position of the fog cloud boundary point (i.e., one-dimensional data), and it cannot determine the size information of the whole fog cloud, in this embodiment, the image analysis module 201 preferably determines a plurality of fog cloud boundary points from the fog cloud image, and determines the distances between the image origin and each fog cloud boundary point, so that the outline of the fog cloud can be reconstructed according to the distances, and the size information of the fog cloud can be determined more comprehensively and accurately (i.e., two-dimensional data can be reconstructed).
It should be noted that in other embodiments of the present invention, the image processing module 201 may also determine the fog cluster size information in other reasonable manners, and the present invention is not limited thereto. For example, in an embodiment of the present invention, the image processing module 201 may further determine the outline of the fog bolus contained in the fog bolus image by performing outline recognition on the fog bolus image, and then calculate the area of the fog bolus in the fog bolus image based on the outline of the fog bolus, so as to obtain the fog bolus size information.
As shown in fig. 2, in the present embodiment, the diffusion distance determining module 202 is connected to the image analyzing module 201, and is capable of determining the diffusion distances of the gas leaking out at different concentrations according to the fog cluster size information obtained by the image analyzing module 201 and the environmental physical information transmitted by the environmental physical information collecting device 102.
In this embodiment, the diffusion distance determining module 202 preferably determines the diffusion distance of the gas leaking out at different concentrations according to the mist size information, the temperature information and the humidity information based on a preset gas concentration relation model. Specifically, in this embodiment, the preset gas concentration relationship model may be expressed as:
F＝f(L,H)(1)
where F denotes a gas diffusion distance at a predetermined concentration, F denotes a relation function, L denotes a mist size, and H denotes humidity information.
For example, in this embodiment, the diffusion distance determination module 202 can determine 100% LEL distance, 50% LEL distance, 25% LEL distance, and 10% LEL distance. Specifically, the diffusion distance determination module 202 may calculate the 100% LEL distance according to the following expression:
F＝f(L,H)＝(5.71-0.0019H-1.16lnH)×L(2)
of course, for other LEL distances, the values of the corresponding values in expression (2) will be different.
For a cloud boundary point, the diffusion distance determining module 202 can determine the concentration distances of the gas diffusion distances at different concentrations leaked from the straight line formed by the image origin point and the cloud boundary point according to the preset gas concentration relation module, so that the diffusion distance determining module 202 can reconstruct a two-dimensional cloud concentration range curve (for example, a curve corresponding to the gas diffusion distances at the respective concentrations shown in fig. 3) by using a plurality of cloud boundary points.
As shown in fig. 1 again, in this embodiment, optionally, the gas concentration analysis system may further include a data storage device 104, wherein the data processing device 104 stores normal image information when no gas or liquid leakage occurs from a specified scene (i.e., a place where the gas or liquid leakage occurs). The data processing device 103 is connected to the data processing device 104, and is capable of generating a corresponding indication profile from the gas diffusion distances at different concentrations determined by the data processing device, and generating a corresponding indication image by combining the indication profile and the normal image information.
Specifically, in the present embodiment, the indication profile generated by the data processing apparatus 103 is as shown in fig. 3, and it generates a corresponding indication image by embedding the indication profile in the normal image information. Wherein the data processing means 103 preferably use the respective feature point (e.g. the origin of the image) when generating the indication image to ensure that the position of the indication contour coincides with the respective position in the normal image information.
Optionally, the gas concentration analysis system may further include a display device 105, and the display device 105 is connected to the data processing device 103, and is capable of visually displaying the indication image generated by the data processing device 103, so as to facilitate observation by a user.
In this embodiment, the display device 105 may also display information such as leakage medium information, information of an area where leakage may occur, corresponding emergency plan information, and other related information, according to actual needs. For example, for an LNG refueling station, the display device 105 may display or select various information such as a leaked medium LNG (natural gas), a station layout drawing (a three-dimensional drawing, a two-dimensional plane drawing, or a site image of the LNG refueling station), a location where a station may leak (such as a tank area, a refueling area, an unloading area, and the like), and a station emergency plan.
It should be noted that, in other embodiments of the present invention, the gas concentration analysis system may further not include an environmental physical information collection device for collecting environmental physical information of the mist cloud, and the system may automatically set a value of the environmental physical information according to actual conditions (the value may be determined by obtaining a humidity value of a local area), so that the data processing device determines the gas diffusion distances of different concentrations leaked out only according to the obtained image of the mist cloud and the value of the environmental physical information. Of course, the system may also set the value of the humidity that cannot be obtained to a smaller value, which may result in a larger gas diffusion distance, which may be regarded as a conservative value because the gas diffusion distance is larger than the actual diffusion distance.
From the above description, it can be seen that the gas concentration analysis system provided by the invention is mainly used for predicting the combustible gas cloud range of low-temperature combustible gas, and specifically can predict the combustible gas cloud range under different concentrations according to the vaporific visible region generated after the low-temperature gas or liquid leaks, so that the non-contact type combustible gas cloud can be effectively predicted, emergency personnel can be effectively prevented from blindly entering the leakage region, and meanwhile, emergency rescue and other related work can be guided.
It is to be understood that the disclosed embodiments of the invention are not limited to the particular structures or process steps disclosed herein, but extend to equivalents thereof as would be understood by those skilled in the relevant art. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting.
Reference in the specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. Thus, the appearances of the phrase "one embodiment" or "an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment.
While the above examples are illustrative of the principles of the present invention in one or more applications, it will be apparent to those of ordinary skill in the art that various changes in form, usage and details of implementation can be made without departing from the principles and concepts of the invention. Accordingly, the invention is defined by the appended claims.
Claims (7)
1. A gas concentration analysis system, the system comprising:
the image acquisition device is used for acquiring an image of a fog mass generated by atomization after gas or liquid leaks in a specified scene to obtain a fog mass image;
the data processing device is connected with the image acquisition device and used for determining gas diffusion distances at different leaked concentrations according to the fog cluster image;
the data processing apparatus includes:
the image analysis module is connected with the image acquisition device and used for carrying out image analysis on the fog cluster image to obtain fog cluster size information;
the diffusion distance determining module is connected with the image analysis module and is used for determining gas diffusion distances at different concentrations in the leaked gas according to the size information of the fog clusters;
the image analysis module is configured to:
carrying out image analysis on the fog cluster image, determining an image origin and a fog cluster boundary point from the fog cluster image, identifying a farthest point of a wind direction edge on the fog cluster, and taking the point as the image origin, and taking the image origin as a leakage source point;
determining the distance between the image origin and the fog cluster boundary point to obtain the fog cluster size information;
determining a plurality of foggy cluster boundary points from the foggy cluster image, and determining the distance between the image origin and each foggy cluster boundary point to obtain the foggy cluster size information.
2. The system of claim 1, wherein the image analysis module is configured to perform image analysis on the image of the fog bolus to determine an area of the fog bolus in the image of the fog bolus, resulting in the information on the size of the fog bolus.
3. The system of claim 1, wherein the system further comprises:
the environment physical information acquisition device is used for acquiring environment physical information of the environment where the fog cluster is located;
the data processing device is configured to determine gas diffusion distances at different concentrations of the leaked gas by integrating the cloud image and the environmental physical information.
4. The system of claim 3, wherein the environmental physical information collection means comprises:
and the humidity sensor is used for acquiring the atmospheric humidity information of the environment where the humidity sensor is positioned.
5. The system of claim 4, wherein the diffusion distance determination module is configured to determine the diffusion distance of gas leaking out at different concentrations based on the fog bolus size information and the inflation humidity information based on a preset gas concentration relationship model.
6. The system of any one of claims 1-5, further comprising:
a data storage device for storing normal image information when no gas or liquid leakage occurs in the specified scene;
and the data processing device is connected with the data storage device and used for generating corresponding indication profiles according to the determined gas diffusion distances at different concentrations and generating corresponding indication images by combining the indication profiles and the normal image information.
7. The system of claim 6, wherein the system further comprises:
and the display device is connected with the data processing device and is used for visually displaying the indication image.
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| CN111442194B (en) * | 2020-04-07 | 2021-09-03 | 上海电力大学 | Method for measuring pipeline leakage by using unmanned aerial vehicle carrying hygrometer |
| CN114075995A (en) * | 2021-11-29 | 2022-02-22 | 陆树林 | Underground gas measurement early warning device and method and storable medium |
| CN113864225B (en) * | 2021-12-03 | 2022-04-19 | 四川省畜牧科学研究院 | Complex wind field model construction method based on multiple independent control parameters |
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