Method and System for Screening Interference of Flame Detection Flashlight in Pre-oxidation Furnace

Abstract

The present invention relates to the field of image recognition technology, and in particular to a method and system for screening flashlight interference in flame detection in a pre-oxidation furnace. The method includes: obtaining an image inside the pre-oxidation furnace, and screening out suspected flame regions through feature extraction; performing morphological judgment on the suspected flame regions, calculating the taper of the suspected flame regions, and judging as interference when the taper is greater than a set threshold; then performing dynamic judgment on the suspected flame regions, extracting the bright yellow regions in the suspected flame regions, comparing the bright yellow regions in a continuous number of images, and judging as a flame when the area of the bright yellow region becomes larger, otherwise judging as interference. In the present invention, morphological analysis is performed on the screened suspected flame regions, which can remove part of the interference, and then dynamic analysis is performed on the suspected flame regions, which can greatly improve the accuracy and reliability of flame detection in the pre-oxidation furnace, ensure the timely discovery and response to flames during the actual production process, and avoid the occurrence of dangerous situations.

Description

Technical Field

[0001] The present invention relates to the technical field of image recognition, and particularly to a method and system for screening flashlight interference in flame detection in a pre-oxidation furnace. Background Art

[0002] The oxidation and carbonization process of PAN-based carbon fiber includes processes such as pre-oxidation, low-temperature carbonization, high-temperature carbonization, surface treatment, sizing and drying, etc. Among them, pre-oxidation is an important intermediate process. In this process, the linear molecular chains of PAN raw filaments gradually form a heat-resistant ladder structure. PAN raw filaments need to pass through multiple pre-oxidation furnaces with increasing temperature in an oxidation furnace cluster. The main reactions in the pre-oxidation process are cyclization, oxidation, and dehydrogenation, all of which are exothermic reactions, which will cause heat storage and overheating inside the fiber. And the temperature in the pre-oxidation furnace is high, and it is easy to catch fire due to local overheating.

[0003] Due to the high temperature in the pre-oxidation furnace, once a fire breaks out in the furnace, a deflagration phenomenon will occur, and the flame can spread to the entire oxidation furnace within a few seconds. In order to improve the speed of flame recognition in the oxidation furnace, the flame can be recognized by visual detection, but the detection accuracy requirement is very high. When a flame appears, it is necessary to recognize it and take subsequent fire extinguishing measures. During the production process of the pre-oxidation furnace, operators will shine a flashlight into the pre-oxidation furnace to observe the production status. Sometimes when the operator shines the flashlight, due to operation problems, the flashlight will shine on the palm, fingers, etc. Because of the blood, the reflected light will also appear red, which is likely to cause false detection.

[0004] The information disclosed in this background art section is only intended to deepen the understanding of the overall background art of the present invention, and should not be regarded as an admission or any form of suggestion that this information constitutes prior art known to those skilled in the art. Summary of the Invention

[0005] The present invention provides a method and system for screening flashlight interference in flame detection in a pre-oxidation furnace, thus effectively solving the problems in the background art.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is: a method for screening flashlight interference in flame detection in a pre-oxidation furnace, including the following steps:

[0007] Obtain an image inside the pre-oxidation furnace, and through feature extraction, screen out the suspected flame area;

[0008] Perform morphological judgment on the suspected flame area, calculate the taper of the suspected flame area, and judge it as interference when the taper is greater than the set threshold;

[0009] Then, perform dynamic judgment on the suspected flame area, extract the bright yellow area in the suspected flame area, compare the bright yellow areas in several consecutive images, and judge it as a flame when the area of the bright yellow area becomes larger, otherwise judge it as interference.

[0010] Furthermore, the morphological judgment on the suspected flame area includes the following steps:

[0011] Extract the edge points in the suspected flame area;

[0012] Extract the highest point among the edge points and denote it as vertex A;

[0013] Find the maximum value of the line segment length between two edge points by connecting lines within the set slope range, and denote it as line segment BC;

[0014] Calculate the length of the line segment BC divided by the distance from vertex A to the line segment BC to obtain the taper of the suspected flame area.

[0015] Furthermore, the extraction of the highest point among the edge points and denoting it as vertex A includes:

[0016] Assign an xy coordinate system to the pixel points in the acquired image, where the vertical direction corresponding to the pre-oxidation furnace in the image is the y-axis and the horizontal direction corresponding to the pre-oxidation furnace is the x-axis, and vertex A is the edge point with the largest y-axis coordinate.

[0017] Furthermore, the set slope range is (-1, 1).

[0018] Furthermore, the extraction of the bright yellow area in the suspected flame area includes the following steps:

[0019] Extract the R, G, and B color components of the pixel points in the suspected flame area;

[0020] Extract the bright yellow pixel points according to the color components and gray values of the pixel points to form the bright yellow area.

[0021] Furthermore, the judgment of it being a flame when the area of the bright yellow area becomes larger also includes:

[0022] Judge the average gray value of the bright yellow areas in several consecutive images before and after. If the average gray value increases and the area becomes larger, then judge it as a flame.

[0023] The present invention also includes a system for screening out flashlight interference in flame detection in a pre-oxidation furnace, using the method as described above, including:

[0024] An acquisition unit, configured to acquire images inside the pre-oxidation furnace and, through feature extraction, screen out suspected flame areas;

[0025] A morphological unit is used to perform morphological judgment on the suspected flame area, calculate the taper of the suspected flame area, and judge it as interference when the taper is greater than a set threshold.

[0026] A dynamic judgment unit is used to perform dynamic judgment on the suspected flame area again, extract the bright yellow area in the suspected flame area, compare the bright yellow areas in a continuous number of images, and judge it as a flame when the area of the bright yellow area becomes larger, otherwise judge it as interference.

[0027] The present invention further includes a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method as described above is implemented.

[0028] The present invention further includes a storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method as described above is implemented.

[0029] The beneficial effects of the present invention are as follows: The present invention performs morphological analysis on the selected suspected flame areas, calculates the tapers of these areas, and when the taper is greater than the set threshold, judges that the area is flashlight interference. Because the shape of the flashlight light reflected on the palm usually presents a relatively large taper, a part of the interference can be removed. Then, dynamic analysis is performed on the suspected flame areas. In a continuous number of frames of images, the area changes of these bright yellow areas are compared. If the area of the bright yellow area in the continuous images becomes larger, it is judged as a flame. This is because a real flame has the characteristic of dynamic change and will fluctuate and expand over time. If the area of the bright yellow area does not change significantly, it is judged as flashlight interference. Through this method combining multiple steps and multiple technical means, the accuracy and reliability of flame detection in the pre-oxidation furnace can be greatly improved, ensuring that flames can be detected and dealt with in a timely manner during the actual production process and avoiding the occurrence of dangerous situations. Description of the Drawings

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0031] Figure 1 It is a flowchart of the method of the present invention;

[0032] Figure 2 and Figure 3 It is a schematic diagram of a flashlight shining on the hand;

[0033] Figure 4 andFigure 5 Schematic diagram of a flame;

[0034] Figure 6 Schematic diagram for taper calculation;

[0035] Figure 7 Schematic structural diagram of the system of the present invention;

[0036] Figure 8 Schematic structural diagram of a computer device. Detailed implementation manners

[0037] Next, in combination with the accompanying drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments.

[0038] As Figure 1 shown: A method for screening out flashlight interference in flame detection in a pre-oxidation furnace includes the following steps:

[0039] Obtain an image inside the pre-oxidation furnace, and through feature extraction, screen out suspected flame regions;

[0040] Perform morphological judgment on the suspected flame regions, calculate the taper of the suspected flame regions, and when the taper is greater than a set threshold, judge it as interference;

[0041] Then perform dynamic judgment on the suspected flame regions, extract the bright yellow regions in the suspected flame regions, compare the bright yellow regions in several consecutive images, and when the area of the bright yellow region becomes larger, judge it as a flame, otherwise judge it as interference.

[0042] Perform morphological analysis on the screened suspected flame regions, calculate the taper of these regions, and when the taper is greater than the set threshold, judge this region as flashlight interference. Because the shape of the flashlight light reflected on the palm usually presents a relatively large taper, a part of the interference can be removed. Then, perform dynamic analysis on the suspected flame regions. In several consecutive frames of images, compare the area changes of these bright yellow regions. If the area of the bright yellow region in the consecutive images becomes larger, judge it as a flame. This is because a real flame has the characteristic of dynamic change and will fluctuate and expand over time. If the area of the bright yellow region does not change significantly, judge it as flashlight interference. Through this method combining multiple steps and multiple technical means, the accuracy and reliability of flame detection in the pre-oxidation furnace can be greatly improved, ensuring that flames can be detected and dealt with in a timely manner during the actual production process and avoiding the occurrence of dangerous situations.

[0043] Figure 2 and Figure 3 are respectively images of the flashlight shining on the finger or the palm, Figure 4 and Figure 5They are respectively images of flames. As Figure 6 shown, morphological judgment is performed on the suspected flame area, including the following steps:

[0044] Extract the edge points in the suspected flame area;

[0045] Extract the highest point among the edge points and denote it as vertex A;

[0046] Find the maximum value of the line segment length between two edge points by connecting lines within a set slope range, and denote it as line segment BC;

[0047] Calculate the length of line segment BC divided by the distance from vertex A to line segment BC to obtain the taper of the suspected flame area.

[0048] Since the reflection of flashlight light may cause the appearance of red areas, if not distinguished, false alarms may occur. By calculating the taper, part of the interference can be excluded, and morphological judgment and taper calculation can be completed quickly, which is particularly important for flame detection in the pre-oxidation furnace. The flame spreads rapidly in the furnace, so rapid detection and measures need to be taken. Morphological judgment can be carried out immediately after image acquisition, so as to achieve rapid response.

[0049] Among them, extracting the highest point among the edge points and denoting it as vertex A includes:

[0050] Assign an xy coordinate system to the pixel points in the acquired image, where the vertical direction corresponding to the pre-oxidation furnace in the image is the y-axis, and the horizontal direction corresponding to the pre-oxidation furnace is the x-axis. Vertex A is the edge point with the largest y-axis coordinate.

[0051] Due to the action of gravity, the flame extends upward, and the bottom of the flame is larger than the top of the flame. Therefore, when assigning the coordinate system to the image, the vertical direction of the image needs to be set as the y-axis and the horizontal direction as the x-axis. Thus, only by finding the point with the largest y-axis coordinate among the edge points can it be vertex A, which can accurately reflect the top position of the suspected flame area and lay a foundation for subsequent morphological judgment and taper calculation. This method effectively improves the accuracy and efficiency of flame detection and ensures safe production in the pre-oxidation furnace.

[0052] As a preference of the above embodiment, the set slope range is (-1, 1).

[0053] After finding vertex A, it is necessary to find the bottom diameter to calculate the taper. Since the captured image is a two-dimensional image, only the bottom edge length of the flame needs to be found. Since the flame is irregular and its bottom edge is not necessarily horizontal, at this time, the maximum value of the connection length between the two longest edge points within the slope range is used to determine the bottom edge. And because the taper of the flame is small, the connection length between the edge points near the vertex and the edge points near the bottom edge may be longer. Therefore, when finding the bottom edge, a slope range needs to be set. And since the bottom edge of the flame is usually at the bottom during combustion, the slope range is set to (-1, 1), which adapts to the natural shape of the flame and excludes overly vertical line segments.

[0054] In this embodiment, extracting the bright yellow area in the suspected flame area includes the following steps:

[0055] Extract the R, G, and B color components of the pixel points in the suspected flame area;

[0056] Extract the bright yellow pixel points according to the color components and gray values of the pixel points to form a bright yellow area.

[0057] When the area of the bright yellow area becomes larger, it is judged as a flame. It also includes:

[0058] Judge the average gray value of the bright yellow area in several consecutive images before and after. If the average gray value increases and the area becomes larger, it is judged as a flame.

[0059] Because the flame is a dynamic change. Therefore, based on this characteristic, it can be further judged whether it is a light or a flame. When the flame burns, it will become taller and the color will become more vivid, that is, the area of the bright yellow inside the flame will become larger and gradually become brighter. Based on this characteristic, as long as the bright yellow in the flame area is found and three consecutive images are judged continuously, as long as it is judged whether the area of this bright yellow area is becoming larger and whether the average gray value is becoming larger. If both the area and the average gray value are becoming larger, it means that this area is the flame area, otherwise it is a light.

[0060] As Figure 7 shown, this embodiment also includes a system for screening out flashlight interference in flame detection in a pre-oxidation furnace. Using the method as described above, it includes:

[0061] An acquisition unit for obtaining images inside the pre-oxidation furnace and screening out suspected flame areas through feature extraction;

[0062] A morphology unit for performing morphological judgment on the suspected flame area, calculating the taper of the suspected flame area, and judging it as interference when the taper is greater than a set threshold;

[0063] A dynamic judgment unit, which is used to dynamically judge the suspected flame area, extract the bright yellow area in the suspected flame area, compare the bright yellow areas in a continuous number of images, and judge it as a flame when the area of the bright yellow area becomes larger, otherwise judge it as interference.

[0064] This system can be used for flame monitoring in a pre-oxidation furnace, and is especially suitable for industrial production environments that require fast response and high-precision flame detection. For example, in the process of carbon fiber production, by real-time monitoring the flame situation in the pre-oxidation furnace, fire accidents can be effectively prevented and production safety can be guaranteed. Through the collaborative work of the acquisition unit, the morphological unit and the dynamic judgment unit, efficient and accurate flame detection is achieved, effectively excluding interferences such as flashlight light, providing reliable safety guarantee for industrial production.

[0065] Please refer to Figure 8 The structural schematic diagram of the computer device provided by the embodiment of the present application shown. A computer device 400 provided by an embodiment of the present application includes: a processor 410 and a memory 420. The memory 420 stores a computer program executable by the processor 410. When the computer program is executed by the processor 410, it executes the method as described above.

[0066] An embodiment of the present application also provides a storage medium 430. A computer program is stored on the storage medium 430. When the computer program is run by the processor 410, it executes the method as described above.

[0067] Among them, the storage medium 430 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (abbreviated as SRAM), electrically erasable programmable read-only memory (abbreviated as EEPROM), erasable programmable read-only memory (abbreviated as EPROM), programmable read-only memory (abbreviated as PROM), read-only memory (abbreviated as ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0068] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The meaning of "a plurality" is two or more unless otherwise specifically defined.

[0069] In the present invention, unless otherwise clearly defined and limited, terms such as "mounted", "connected", "coupled", "fixed", etc. shall be construed in a broad sense. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the internal communication of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0070] In the description of this specification, the description with reference to terms such as "an embodiment", "some embodiments", "examples", "specific examples", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0071] Any process or method description shown in a flowchart or described otherwise herein may be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing a specific logical function or process. The scope of the preferred embodiments of the present invention includes additional implementations, where the functions may be executed in a substantially simultaneous manner or in an order opposite to that shown or discussed, according to the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0072] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definitional sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or used in conjunction with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion having one or more wirings (electronic device), a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or otherwise processing as appropriate, and then stored in a computer memory.

[0073] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), and the like.

[0074] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the method of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0075] The above-mentioned storage medium can be a read-only memory, a disk, an optical disc, or the like. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for screening out flashlight interference in flame detection in a pre-oxidation furnace, characterized in that, It includes the following steps: Obtain the image inside the pre-oxidation furnace, and through feature extraction, screen out the suspected flame area; Perform morphological judgment on the suspected flame area, calculate the taper of the suspected flame area, and judge it as interference when the taper is greater than the set threshold; Then perform dynamic judgment on the suspected flame area, extract the bright yellow area in the suspected flame area, compare the bright yellow areas in several consecutive images, and judge it as a flame when the area of the bright yellow area becomes larger, otherwise judge it as interference; The performing morphological judgment on the suspected flame area includes the following steps: Extract the edge points in the suspected flame area; Extract the highest point among the edge points and denote it as vertex A; Find the maximum value of the line segment length between two edge points by connecting lines within the set slope range, and denote it as line segment BC; Calculate the length of the line segment BC divided by the distance from vertex A to the line segment BC to obtain the taper of the suspected flame area; The extracting the highest point among the edge points and denoting it as vertex A includes: Assign an xy coordinate system to the pixel points in the obtained image, where the vertical direction corresponding to the pre-oxidation furnace in the image is the y-axis, and the horizontal direction corresponding to the pre-oxidation furnace is the x-axis, and vertex A is the edge point with the largest y-axis coordinate.

2. The method for screening flashlight interference in flame detection in a pre-oxidation furnace according to claim 1, wherein The set slope range is (-1, 1).

3. The method for screening flashlight interference in flame detection in a pre-oxidation furnace according to claim 1, characterized in that, The extracting the bright yellow area in the suspected flame area includes the following steps: Extract the R, G, and B color components of the pixel points in the suspected flame area; Extract the bright yellow pixel points according to the color components and gray values of the pixel points to form the bright yellow area.

4. The method for screening flashlight interference in flame detection in a pre-oxidation furnace according to claim 3, wherein The judging it as a flame when the area of the bright yellow area becomes larger further includes: Judge the average gray value of the bright yellow areas in several consecutive front and back images. If the average gray value increases and the area becomes larger, then judge it as a flame.

5. A flame detection flashlight interference screening system in a pre-oxidation furnace, characterized in that Using the method according to any one of claims 1 to 4 includes: An acquisition unit for obtaining the image inside the pre-oxidation furnace, and through feature extraction, screening out the suspected flame area; A morphological unit for performing morphological judgment on the suspected flame area, calculating the taper of the suspected flame area, and judging it as interference when the taper is greater than the set threshold; A dynamic judgment unit for further performing dynamic judgment on the suspected flame area, extracting the bright yellow area in the suspected flame area, comparing the bright yellow areas in several consecutive images, and judging it as a flame when the area of the bright yellow area becomes larger, otherwise judging it as interference.

6. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method according to any one of claims 1 - 4.

7. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method according to any one of claims 1 - 4.

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