Intelligent flammable wall detection system for gas safety management

Abstract

The present invention relates to an intelligent detection system for flammable walls for gas safety management, the system comprising: a visual capture device for performing a time capture operation on the environment where the gas pipeline is located; a wall judgment mechanism for intelligently judging whether there is no wooden wall in the current filtered image; and a safety identification mechanism for, when judging that there is a wooden wall in the current filtered image, sending a safety alarm signal corresponding to the illegal wood of the wall through a wireless communication link. The intelligent detection system for flammable walls for gas safety management of the present invention is logically compact, safe and reliable. Since the proportion of the number of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall in each pixel point closed by a certain closed curve exceeds a set proportion limit, it is judged that there is a wooden wall in the current filtered image, thereby performing a safety anomaly identification on the site where the gas pipeline is illegally close to the wooden wall.

Description

Technical Field

[0001] The present invention relates to the field of gas safety, and in particular to an intelligent flammable wall detection system for gas safety management. Background Art

[0002] Flammable materials are a general term for flammable gases, flammable liquids and flammable solids. Generally speaking, flammable materials refer to substances that can participate in combustion or react with oxygen under normal temperature and pressure conditions to produce flames or infrared rays and other exothermic phenomena. Some common flammable materials include paint, gasoline, kerosene, wood, etc. These materials will produce flames or explosions when encountering external fire sources or electric sparks. In production and life, flammable materials have a wide range of applications, such as fuel, chemical raw materials, plastic products, etc.

[0003] In gas safety management, if the gas pipeline is too close to a flammable wall, such as a paper wall, it will cause safety hazards to the gas use scenario of the gas pipeline. Obviously, the existing technology lacks targeted detection mechanisms and targeted early warning mechanisms, resulting in certain safety risks in the gas use scenario of the gas pipeline. Summary of the invention

[0004] In order to solve the technical problems in related fields, the present invention provides a flammable wall intelligent detection system for gas safety management, which can judge that there is a wooden wall in the current filtered image when the proportion of the number of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall among the pixel points closed by a closed curve exceeds a set proportion limit; otherwise, it is judged that there is no wooden wall in the current filtered image, thereby performing safety anomaly identification on the site where the gas pipeline is illegally close to the wooden wall.

[0005] According to the present invention, there is provided a flammable wall intelligent detection system for gas safety management, the system comprising:

[0006] A visual capture device, arranged opposite to the gas pipeline, is used to perform a time capture operation on the environment where the gas pipeline is located, so as to obtain and output a corresponding pipeline environment image;

[0007] An exponential enhancement device, connected to the visual capture device, for performing an image content enhancement process based on an exponential transformation on the received pipeline environment image to obtain and output a corresponding exponentially enhanced image;

[0008] an artifact removal device, connected to the exponential enhancement device, for performing an artifact removal process on the received exponential enhancement image to obtain and output a corresponding artifact removed image;

[0009] An image filtering device, connected to the artifact removal device, for performing Gaussian white noise removal processing on the received image to obtain and output a corresponding current filtered image;

[0010] A wall judging mechanism is connected to the image filtering device, and is used to traverse whether each pixel point in the current filtered image is an edge pixel point to obtain each edge pixel point in the current filtered image, remove isolated edge pixel points from each edge pixel point to obtain the remaining multiple reference pixel points, and combine the multiple reference pixel points to obtain each closed curve in the current filtered image. When the proportion of the number of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall among each pixel point closed by a certain closed curve exceeds a set proportion limit, it is judged that there is a wooden wall in the current filtered image; otherwise, it is judged that there is no wooden wall in the current filtered image;

[0011] A safety identification mechanism, connected to the wall judgment mechanism, is used for judging that there is a wooden wall in the current filtered image by the wall judgment mechanism, and sending a safety alarm signal corresponding to the illegal wooden wall through a wireless communication link;

[0012] Among them, when the proportion of the number of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall among the pixel points enclosed by a certain closed curve exceeds the set proportion limit, it is judged that there is a wooden wall in the current filtered image; otherwise, it is judged that there is no wooden wall in the current filtered image, which includes: obtaining the number of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall among the pixel points enclosed by the certain closed curve as the first number, obtaining the total number of pixel points enclosed by the certain closed curve as the second number, and dividing the first number by the second number to obtain the proportion of the number of pixel points.

[0013] It can be seen that the present invention mainly has the following significant technical effects:

[0014] First, traverse each pixel point in the current filtered image to determine whether it is an edge pixel point to obtain each edge pixel point in the current filtered image, remove isolated edge pixel points from each edge pixel point to obtain a plurality of remaining reference pixel points, and combine the plurality of reference pixel points to obtain each closed curve in the current filtered image;

[0015] Second: when the proportion of the number of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall among the pixel points closed by a certain closed curve exceeds the set proportion limit, it is judged that there is a wooden wall in the current filtered image; otherwise, it is judged that there is no wooden wall in the current filtered image, so as to conduct a safety anomaly identification on the site where the gas pipeline is illegally close to the wooden wall;

[0016] Third: Use targeted image optimization processing including image content enhancement processing based on exponential transformation, artifact removal processing and Gaussian white noise removal processing to improve the image quality of the on-site captured images, thereby providing key data for subsequent detection of the existence of wooden walls.

[0017] The flammable wall intelligent detection system for gas safety management of the present invention has compact logic, safety and reliability. When the proportion of the number of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall among the pixel points closed by a certain closed curve exceeds the set proportion limit, it is judged that there is a wooden wall in the current filtered image, thereby performing safety anomaly identification on the site where the gas pipeline is illegally close to the wooden wall. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0019] Figure 1 It is a schematic diagram of the internal structure of a flammable wall intelligent detection system for gas safety management according to the first embodiment of the present invention.

[0020] Figure 2 Schematic diagram of the internal structure of a flammable wall intelligent detection system for gas safety management according to a second embodiment of the present invention.

[0021] Figure 3 Schematic diagram of the internal structure of a flammable wall intelligent detection system for gas safety management according to the third embodiment of the present invention. DETAILED DESCRIPTION

[0022] The embodiments of the flammable wall intelligent detection system for gas safety management of the present invention will be described in detail with reference to the accompanying drawings.

[0023] Figure 1 This is a schematic diagram of the internal structure of a flammable wall intelligent detection system for gas safety management according to a first embodiment of the present invention, wherein the system comprises:

[0024] A visual capture device, arranged opposite to the gas pipeline, is used to perform a time capture operation on the environment where the gas pipeline is located, so as to obtain and output a corresponding pipeline environment image;

[0025] An exponential enhancement device, connected to the visual capture device, for performing an image content enhancement process based on an exponential transformation on the received pipeline environment image to obtain and output a corresponding exponentially enhanced image;

[0026] For example, the exponential enhancement device is connected to the visual capture device and is used to perform image content enhancement processing based on exponential transformation on the received pipeline environment image to obtain and output the corresponding exponential enhancement image, including: the exponential enhancement device can be implemented by using an FPGA device, connected to the visual capture device, and is used to perform image content enhancement processing based on exponential transformation on the received pipeline environment image to obtain and output the corresponding exponential enhancement image;

[0027] an artifact removal device, connected to the exponential enhancement device, for performing an artifact removal process on the received exponential enhancement image to obtain and output a corresponding artifact removed image;

[0028] An image filtering device, connected to the artifact removal device, for performing Gaussian white noise removal processing on the received image to obtain and output a corresponding current filtered image;

[0029] A wall judging mechanism is connected to the image filtering device, and is used to traverse whether each pixel point in the current filtered image is an edge pixel point to obtain each edge pixel point in the current filtered image, remove isolated edge pixel points from each edge pixel point to obtain the remaining multiple reference pixel points, and combine the multiple reference pixel points to obtain each closed curve in the current filtered image. When the proportion of the number of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall among each pixel point closed by a certain closed curve exceeds a set proportion limit, it is judged that there is a wooden wall in the current filtered image; otherwise, it is judged that there is no wooden wall in the current filtered image;

[0030] A safety identification mechanism, connected to the wall judgment mechanism, is used for judging that there is a wooden wall in the current filtered image by the wall judgment mechanism, and sending a safety alarm signal corresponding to the illegal wooden wall through a wireless communication link;

[0031] Among them, when the proportion of the number of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall among the pixel points closed by a certain closed curve exceeds the set proportion limit, it is judged that there is a wooden wall in the current filtered image; otherwise, it is judged that there is no wooden wall in the current filtered image, including: obtaining the number of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall among the pixel points closed by the certain closed curve as the first number, obtaining the total number of pixel points closed by the certain closed curve as the second number, and dividing the first number by the second number to obtain the proportion of the number of pixel points;

[0032] The safety identification mechanism is also used for the wall judgment mechanism to judge that there is no wooden wall in the current filtered image, and to suspend sending the safety alarm signal corresponding to the illegal wooden wall through the wireless communication link.

[0033] Figure 2 Schematic diagram of the internal structure of a flammable wall intelligent detection system for gas safety management according to a second embodiment of the present invention.

[0034] Compared to Figure 1 According to the second embodiment of the present invention, the flammable wall intelligent detection system for gas safety management may also include:

[0035] a current detection device, arranged near the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism and connected to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively;

[0036] Among them, the current detection device is arranged near the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism and is respectively connected to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism, including: the current detection device is used to respectively realize the on-site measurement of the current current of the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism.

[0037] Figure 3 Schematic diagram of the internal structure of a flammable wall intelligent detection system for gas safety management according to the third embodiment of the present invention.

[0038] Compared to Figure 1 According to the third embodiment of the present invention, the flammable wall intelligent detection system for gas safety management may also include:

[0039] A humidity detection device is arranged near the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism and is connected to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively;

[0040] Among them, the humidity detection device is arranged near the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism and is respectively connected to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism, including: the humidity detection device is used to respectively realize on-site measurement of the current humidity of the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism.

[0041] Next, the specific structure of the flammable wall intelligent detection system for gas safety management of the present invention will be further described.

[0042] In each of the flammable wall intelligent detection systems for gas safety management according to the embodiments of the present invention:

[0043] An FPGA device is used to perform image data processing on the output data of the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain output processing data corresponding to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively.

[0044] In each of the flammable wall intelligent detection systems for gas safety management according to the embodiments of the present invention:

[0045] Using an FPGA device to perform image data processing on the output data of the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain the output processing data corresponding to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively includes: performing guided filtering processing on the output data of the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain the output processing data corresponding to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively.

[0046] In each of the flammable wall intelligent detection systems for gas safety management according to the embodiments of the present invention:

[0047] Using an FPGA device to perform image data processing on the output data of the exponential enhancement device, the artifact removal device, the image filtering device, and the wall judgment mechanism to obtain the output processing data corresponding to the exponential enhancement device, the artifact removal device, the image filtering device, and the wall judgment mechanism respectively includes: performing box filtering processing on the output data of the exponential enhancement device, the artifact removal device, the image filtering device, and the wall judgment mechanism to obtain the output processing data corresponding to the exponential enhancement device, the artifact removal device, the image filtering device, and the wall judgment mechanism respectively.

[0048] In each of the flammable wall intelligent detection systems for gas safety management according to the embodiments of the present invention:

[0049] Using an FPGA device to perform image data processing on the output data of the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain the output processing data corresponding to the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively includes: performing wavelet filtering processing on the output data of the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain the output processing data corresponding to the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively.

[0050] And in each of the flammable wall intelligent detection systems for gas safety management according to the embodiments of the present invention:

[0051] Using an FPGA device to perform image data processing on the output data of the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain the output processing data corresponding to the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively includes: performing bilinear interpolation processing on the output data of the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain the output processing data corresponding to the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively.

[0052] In addition, in the flammable wall intelligent detection system for gas safety management, when the proportion of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall among the pixel points closed by a closed curve exceeds a set proportion limit, it is judged that there is a wooden wall in the current filtered image; otherwise, it is judged that there is no wooden wall in the current filtered image, including: the grayscale value distribution interval corresponding to the wooden wall is limited by the grayscale value upper limit threshold and the grayscale value lower limit threshold corresponding to the wooden wall.

[0053] It should be understood by those skilled in the art that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

Claims

1. An intelligent flammable wall detection system for gas safety management, characterized in that: The system comprises: A visual capture device, arranged opposite to the gas pipeline, for performing a time capture operation on the environment where the gas pipeline is located, so as to obtain and output a corresponding pipeline environment image; An exponential enhancement device, connected to the visual capture device, for performing an image content enhancement process based on an exponential transformation on the received pipeline environment image to obtain and output a corresponding exponentially enhanced image; an artifact removal device, connected to the exponential enhancement device, for performing an artifact removal process on the received exponential enhancement image to obtain and output a corresponding artifact removed image; An image filtering device, connected to the artifact removal device, for performing Gaussian white noise removal processing on the received image to obtain and output a corresponding current filtered image; A wall judging mechanism is connected to the image filtering device, and is used to traverse whether each pixel point in the current filtered image is an edge pixel point to obtain each edge pixel point in the current filtered image, remove isolated edge pixel points from each edge pixel point to obtain the remaining multiple reference pixel points, and combine the multiple reference pixel points to obtain each closed curve in the current filtered image. When the proportion of the number of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall among each pixel point closed by a certain closed curve exceeds a set proportion limit, it is judged that there is a wooden wall in the current filtered image; otherwise, it is judged that there is no wooden wall in the current filtered image; A safety identification mechanism, connected to the wall judgment mechanism, is used for judging that there is a wooden wall in the current filtered image by the wall judgment mechanism, and sending a safety alarm signal corresponding to the illegal wooden wall through a wireless communication link; Among them, when the proportion of the number of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall among the pixel points enclosed by a certain closed curve exceeds the set proportion limit, it is judged that there is a wooden wall in the current filtered image; otherwise, it is judged that there is no wooden wall in the current filtered image, which includes: obtaining the number of pixel points whose grayscale values ​​match the grayscale value distribution interval corresponding to the wooden wall among the pixel points enclosed by the certain closed curve as the first number, obtaining the total number of pixel points enclosed by the certain closed curve as the second number, and dividing the first number by the second number to obtain the proportion of the number of pixel points.

2. The flammable wall intelligent detection system for gas safety management according to claim 1, characterized in that: The safety identification mechanism is also used to determine that there is no wooden wall in the current filtered image, and to suspend sending the safety alarm signal corresponding to the illegal wooden wall through the wireless communication link.

3. The flammable wall intelligent detection system for gas safety management according to claim 2, characterized in that: The system further comprises: a current detection device, arranged near the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism and connected to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively; Among them, the current detection device is arranged near the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism and is respectively connected to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism, including: the current detection device is used to respectively realize the on-site measurement of the current current of the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism.

4. The flammable wall intelligent detection system for gas safety management according to claim 2, characterized in that: The system further comprises: A humidity detection device is arranged near the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism and is connected to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively; Among them, the humidity detection device is arranged near the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism and is respectively connected to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism, including: the humidity detection device is used to respectively realize on-site measurement of the current humidity of the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism.

5. The flammable wall intelligent detection system for gas safety management according to any one of claims 2 to 4, characterized in that: An FPGA device is used to perform image data processing on the output data of the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain output processing data corresponding to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively.

6. The flammable wall intelligent detection system for gas safety management according to claim 5, characterized in that: Using an FPGA device to perform image data processing on the output data of the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain the output processing data corresponding to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively includes: performing guided filtering processing on the output data of the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain the output processing data corresponding to the index enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively.

7. The flammable wall intelligent detection system for gas safety management according to claim 5, characterized in that: Using an FPGA device to perform image data processing on the output data of the exponential enhancement device, the artifact removal device, the image filtering device, and the wall judgment mechanism to obtain the output processing data corresponding to the exponential enhancement device, the artifact removal device, the image filtering device, and the wall judgment mechanism respectively includes: performing box filtering processing on the output data of the exponential enhancement device, the artifact removal device, the image filtering device, and the wall judgment mechanism to obtain the output processing data corresponding to the exponential enhancement device, the artifact removal device, the image filtering device, and the wall judgment mechanism respectively.

8. The flammable wall intelligent detection system for gas safety management according to claim 5, characterized in that: Using an FPGA device to perform image data processing on the output data of the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain the output processing data corresponding to the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively includes: performing wavelet filtering processing on the output data of the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain the output processing data corresponding to the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively.

9. The flammable wall intelligent detection system for gas safety management according to claim 5, characterized in that: Using an FPGA device to perform image data processing on the output data of the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain the output processing data corresponding to the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively includes: performing bilinear interpolation processing on the output data of the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism to obtain the output processing data corresponding to the exponential enhancement device, the artifact removal device, the image filtering device and the wall judgment mechanism respectively.

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