Flame detection light interference screening system and method in pre-oxidation furnace

Abstract

The present invention relates to the field of image processing technology, and in particular to a system and method for screening light interference for flame detection in a pre-oxidation furnace, the method comprising: obtaining an image in the pre-oxidation furnace, and screening out a suspected flame area through feature extraction; extracting the color components of pixels in the suspected flame area to determine the R, G, and B values ​​of each pixel; respectively calculating the sum of the R, G, and B values ​​of the pixels in the suspected flame area; calculating the red proportion of each pixel in the suspected flame area, and when the red proportion is greater than a set value, judging the pixel to be red; counting the proportion of red pixels in the suspected flame area, if it is greater than a set threshold, the suspected flame area is a flame, and if it is less than the set threshold, it is interference. In the present invention, it can be judged whether the suspected flame area is a flame, and when the proportion of red pixels is small, it can be judged as the edge light of a zoom flashlight, and interference can be eliminated, effectively preventing false alarms and reducing production costs.

Description

Technical Field

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

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

[0003] Since the temperature inside the pre-oxidation furnace is relatively high, once the furnace catches fire, deflagration will occur, and the flame can spread to the entire oxidation furnace within a few seconds. In order to increase the speed of flame recognition in the oxidation furnace, the flame can be identified by visual detection, but the detection accuracy is very high. As soon as a flame appears, it must be identified and subsequent fire extinguishing measures must be taken.

[0004] In the prior art, manual inspections are often required during the production process of the pre-oxidation furnace. Since there is no light in the pre-oxidation furnace, a zoom flashlight is used to illuminate the furnace to observe the furnace during manual inspections. When performing flame detection, the light of the zoom flashlight needs to be identified and screened out as an interference item to prevent false alarms.

[0005] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present invention, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0006] The present invention provides a system and method for screening light interference in flame detection in a pre-oxidation furnace, thereby effectively solving the problems in the background technology.

[0007] In order to achieve the above object, the technical solution adopted by the present invention is: a method for screening light interference of flame detection in a pre-oxidation furnace, comprising the following steps:

[0008] Obtain images inside the pre-oxidation furnace and filter out suspected flame areas through feature extraction;

[0009] Extracting the color components of the pixels in the suspected flame area to determine the R, G, and B values ​​of each pixel;

[0010] Calculate the sum of the values ​​of R, G, and B of the pixels in the suspected flame area respectively;

[0011] Calculate the red proportion of each pixel in the suspected flame area, and when the red proportion is greater than a set value, determine that the pixel is red;

[0012] The proportion of red pixels in the suspected flame area is counted. If it is greater than a set threshold, the suspected flame area is a flame; if it is less than the set threshold, it is interference.

[0013] Furthermore, the calculating of the red proportion of each pixel in the suspected flame area includes:

[0014] P = [R / (G+B)]*[Rs / (Gs+Bs)];

[0015] Wherein, P is the red proportion, G and B are the G value and B value of the current pixel, and Rs, Gs, and Bs are the sum of the R, G, and B values ​​of the pixels in the suspected flame area, respectively.

[0016] Further, when P is greater than a set value, the pixel is determined to be red, and the set value is 0.4-0.6.

[0017] Furthermore, the counting of the proportion of red pixels in the suspected flame area includes:

[0018] Q=A2 / A1;

[0019] Wherein, Q is the proportion, A2 is the number of red pixels in the suspected flame area, and A1 is the number of all pixels in the suspected flame area.

[0020] Furthermore, when Q is less than a set threshold, the suspected flame area is judged to be interference, and the set threshold is 0.2-0.4.

[0021] The present invention also includes a flame detection lighting interference screening system in a pre-oxidation furnace, using the above method, including:

[0022] An acquisition unit, the acquisition unit is used to acquire an image in the pre-oxidation furnace and screen out a suspected flame area by feature extraction;

[0023] An extraction unit, the extraction unit is used to extract the color components of the pixels in the suspected flame area and determine the R, G, and B values ​​of each pixel;

[0024] A calculation unit, the calculation unit is used to calculate the sum of the values ​​of R, G, and B of the pixel points in the suspected flame area respectively;

[0025] It is also used to calculate the red proportion of each pixel in the suspected flame area, and when the red proportion is greater than a set value, the pixel is judged to be red;

[0026] The screening unit is used to count the proportion of red pixels in the suspected flame area. If it is greater than a set threshold, the suspected flame area is a flame; if it is less than the set threshold, it is interference.

[0027] The present invention also includes a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method described above is implemented.

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

[0029] The beneficial effects of the present invention are as follows: after screening out a suspected flame area, the present invention extracts a color component for each pixel in the suspected flame area, calculates the sum of the color components of all the pixels in the suspected flame area, and then calculates the red proportion of each pixel by the color component of the pixel and the sum of the color components to determine whether the pixel is red, and calculates the proportion of red pixels in the suspected flame area. When the proportion of red pixels is relatively large, the suspected flame area is determined to be a flame. When the proportion of red pixels is relatively small, it can be determined to be the edge light of a zoom flashlight, thereby eliminating interference, effectively preventing false alarms, and reducing production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 is a flow chart of the method of the present invention;

[0032] Figure 2 It is a structural schematic diagram of the system of the present invention;

[0033] Figure 3 It is a structural schematic diagram of the computer device of the present invention. DETAILED DESCRIPTION

[0034] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0035] like Figure 1 As shown: A method for screening light interference for flame detection in a pre-oxidation furnace, comprising the following steps:

[0036] Obtain images inside the pre-oxidation furnace and filter out suspected flame areas through feature extraction;

[0037] Extract the color components of the pixels in the suspected flame area and determine the R, G, and B values ​​of each pixel;

[0038] Calculate the sum of the R, G, and B values ​​of the pixels in the suspected flame area respectively;

[0039] Calculate the red ratio of each pixel in the suspected flame area. When the red ratio is greater than the set value, the pixel is judged to be red.

[0040] The proportion of red pixels in the suspected flame area is counted. If it is greater than the set threshold, the suspected flame area is a flame. If it is less than the set threshold, it is interference.

[0041] After screening out the suspected flame area, the color component of each pixel in the suspected flame area is extracted, and the sum of the color components of all pixels in the suspected flame area is calculated. Then, the red proportion of each pixel is calculated by the color component of the pixel and the sum of the color components to determine whether the pixel is red, and the proportion of red pixels in the suspected flame area is calculated. When the proportion of red pixels is relatively large, the suspected flame area is judged to be a flame. When the proportion of red pixels is relatively small, it can be judged as the edge light of the zoom flashlight, and the interference is eliminated, which effectively prevents false alarms and reduces production costs.

[0042] In this embodiment, calculating the red proportion of each pixel in the suspected flame area includes:

[0043] P = [R / (G+B)]*[Rs / (Gs+Bs)];

[0044] Among them, P is the red proportion, G and B are the G value and B value of the current pixel, and Rs, Gs, and Bs are the sum of the R, G, and B values ​​of the pixels in the suspected flame area, respectively.

[0045] When judging whether a pixel is red, if the pixel is directly judged by the R, G, B value or R value, errors will occur. Red pixels will also appear at the edge of the zoom flashlight light, but the red pixels here are deviated from the pixels of the flame. If the R value is used alone to judge, false alarms will occur. Therefore, in this embodiment, the ratio of the sum of the red components of the entire suspected flame area to the sum of the green and blue components is multiplied by the ratio of the red component of a single pixel to the sum of the green and blue components to judge whether the pixel is red, so as to make a comprehensive judgment on the overall color of the suspected flame area and the color of a single pixel.

[0046] Among them, when P is greater than the set value, the pixel is judged to be red, and the set value is 0.4~0.6.

[0047] As a preferred embodiment of the above, counting the proportion of red pixels in the suspected flame area includes:

[0048] Q=A2 / A1;

[0049] Among them, Q is the proportion, A2 is the number of red pixels in the suspected flame area, and A1 is the number of all pixels in the suspected flame area.

[0050] When Q is less than the set threshold, the suspected flame area is judged as interference, and the threshold is set to 0.2~0.4.

[0051] There are also red pixels at the edge of the zoom flashlight, but the proportion of red pixels is not high, or the red component of the pixels is not high enough. Therefore, when it is determined that the ratio of the number of red pixels to the number of all pixels in the suspected flame area is small, the suspected flame area here can be determined to be the edge of the zoom flashlight, and the interference can be eliminated.

[0052] like Figure 2 As shown, this embodiment also includes a flame detection light interference screening system in a pre-oxidation furnace, using the above method, including:

[0053] An acquisition unit is used to acquire images in the pre-oxidation furnace and screen out suspected flame areas through feature extraction;

[0054] An extraction unit, the extraction unit is used to extract the color components of the pixels in the suspected flame area and determine the R, G, and B values ​​of each pixel;

[0055] A calculation unit, the calculation unit is used to calculate the sum of the values ​​of R, G, and B of the pixel points in the suspected flame area respectively;

[0056] It is also used to calculate the red proportion of each pixel in the suspected flame area. When the red proportion is greater than the set value, the pixel is judged to be red;

[0057] The screening unit is used to count the proportion of red pixels in the suspected flame area. If it is greater than a set threshold, the suspected flame area is a flame; if it is less than the set threshold, it is interference.

[0058] See also Figure 3 A computer device 400 provided in an embodiment of the present application includes: a processor 410 and a memory 420, wherein the memory 420 stores a computer program executable by the processor 410, and when the computer program is executed by the processor 410, the above method is executed.

[0059] The embodiment of the present application further provides a storage medium 430 on which a computer program is stored. When the computer program is run by the processor 410, the above method is executed.

[0060] 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 (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable red-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, disk or optical disk.

[0061] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. "Multiple" means two or more, unless otherwise clearly and specifically defined.

[0062] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0063] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction 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, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0064] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0065] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0066] 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-mentioned 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 by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0067] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0068] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A method for screening light interference for flame detection in a pre-oxidation furnace, characterized in that: The steps include: Obtain images inside the pre-oxidation furnace and filter out suspected flame areas through feature extraction; Extracting the color components of the pixels in the suspected flame area to determine the R, G, and B values ​​of each pixel; Calculate the sum of the values ​​of R, G, and B of the pixels in the suspected flame area respectively; Calculate the red proportion of each pixel in the suspected flame area, and when the red proportion is greater than a set value, determine that the pixel is red; Counting the proportion of red pixels in the suspected flame area, if it is greater than a set threshold, the suspected flame area is a flame, and if it is less than the set threshold, it is interference; The calculating the red proportion of each pixel in the suspected flame area includes: P = [R / (G+B)]*[Rs / (Gs+Bs)]; Wherein, P is the red proportion, G and B are the G value and B value of the current pixel, and Rs, Gs, and Bs are the sum of the R, G, and B values ​​of the pixel points in the suspected flame area respectively; When P is greater than a set value, the pixel is determined to be red, and the set value is 0.4-0.

6.

2. The method for screening light interference of flame detection in a pre-oxidation furnace according to claim 1, characterized in that: The counting of the proportion of red pixels in the suspected flame area includes: Q=A2 / A1; Wherein, Q is the proportion, A2 is the number of red pixels in the suspected flame area, and A1 is the number of all pixels in the suspected flame area.

3. The method for screening light interference of flame detection in a pre-oxidation furnace according to claim 2, characterized in that: When Q is less than a set threshold, the suspected flame area is judged to be interference, and the set threshold is 0.2-0.

4.

4. A flame detection light interference screening system in a pre-oxidation furnace, characterized in that: Use of the method according to any one of claims 1 to 3, comprising: An acquisition unit, the acquisition unit is used to acquire an image in the pre-oxidation furnace and screen out a suspected flame area by feature extraction; An extraction unit, the extraction unit is used to extract the color components of the pixels in the suspected flame area and determine the R, G, and B values ​​of each pixel; A calculation unit, the calculation unit is used to calculate the sum of the values ​​of R, G, and B of the pixel points in the suspected flame area respectively; It is also used to calculate the red proportion of each pixel in the suspected flame area, and when the red proportion is greater than a set value, the pixel is judged to be red; The screening unit is used to count the proportion of red pixels in the suspected flame area. If it is greater than a set threshold, the suspected flame area is a flame; if it is less than the set threshold, it is interference.

5. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 3 is implemented.

6. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 3 is implemented.

Images