A method and system for monitoring overflow of aluminum outlet of smelting furnace

Abstract

The present invention discloses a method and system for monitoring overflow of an aluminum outlet of a smelting furnace, and relates to the technical field of furnace data processing. The method comprises the following steps: acquiring an image of a furnace outlet; performing image recognition on the image of the furnace outlet to obtain an outlet liquid level; acquiring a flow channel temperature; calculating a flow channel temperature variation coefficient according to the flow channel temperature; calculating an overflow index according to the outlet liquid level and the flow channel temperature variation coefficient; judging the furnace outlet state according to the overflow index, and controlling the furnace outlet. The present invention acquires an image of the aluminum outlet of a smelting furnace, recognizes the image to obtain the liquid level of the aluminum outlet, calculates the temperature variation trend of the flow channel based on the obtained liquid level data, calculates the overflow index according to the outlet liquid level and the temperature variation coefficient, analyzes the working state of the aluminum outlet of the smelting furnace, and controls the aluminum outlet of the smelting furnace according to the analysis result, thereby improving the accuracy of the overflow monitoring result of the aluminum outlet of the smelting furnace.

Description

Technical Field

[0001] The present invention relates to the technical field of melting furnace data processing, and in particular to a method and system for monitoring overflow at an aluminum outlet of a melting furnace. Background Art

[0002] The aluminum outlet of the smelting furnace is a key part for guiding the molten aluminum liquid out of the smelting furnace, and plays an important role in the process of aluminum production and processing. Through the aluminum outlet of the smelting furnace, the amount of aluminum liquid flowing out of the smelting furnace can be controlled. Correct design and maintenance of the aluminum outlet can improve the accuracy of control and prevent the leakage of aluminum liquid. The overflow of the aluminum outlet refers to the phenomenon that when the aluminum liquid flows out of the smelting furnace, the amount of aluminum liquid flowing out cannot be controlled in time due to various reasons, causing the aluminum liquid to exceed the normal flow path. The overflow of the aluminum outlet will lead to the waste of aluminum liquid and cause safety hazards. Therefore, it is necessary to monitor the overflow phenomenon of the aluminum outlet of the smelting furnace.

[0003] The existing monitoring of the aluminum outlet of a smelting furnace cannot effectively predict the overflow phenomenon. It can only monitor the time when the overflow phenomenon occurs and close the aluminum outlet. The accuracy of the overflow monitoring of the aluminum outlet is low, and it can easily cause damage to the smelting furnace and surrounding equipment. Summary of the invention

[0004] The object of the present invention is to provide a method and system for monitoring overflow of an aluminum outlet of a smelting furnace. The present invention obtains an image of the aluminum outlet of the smelting furnace, identifies the image to obtain the liquid level of the aluminum outlet, calculates the temperature change trend of the flow channel based on the obtained liquid level data, calculates the overflow index according to the outlet liquid level and the temperature change coefficient, analyzes the working state of the aluminum outlet of the smelting furnace, controls the aluminum outlet of the smelting furnace according to the analysis result, and improves the accuracy of the overflow monitoring result of the aluminum outlet of the smelting furnace.

[0005] The purpose of the present invention is achieved by the following technical means:

[0006] In a first aspect, the present invention provides a method for monitoring overflow at an aluminum outlet of a smelting furnace, comprising the following steps:

[0007] Acquire furnace exit images;

[0008] Performing image recognition on the furnace outlet image to obtain the outlet liquid level;

[0009] Get the flow tank temperature;

[0010] Calculating a flow channel temperature variation coefficient according to the flow channel temperature;

[0011] Calculating an overflow index according to the outlet liquid level and the flow tank temperature variation coefficient;

[0012] The furnace outlet state is judged according to the overflow index, and the furnace outlet is controlled.

[0013] Preferably, performing image recognition on the furnace outlet image to obtain the outlet liquid level comprises the following steps:

[0014] Performing grayscale processing on the furnace outlet image to obtain an outlet grayscale image;

[0015] Performing edge extraction on the outlet grayscale image to obtain the ordinate of the liquid level boundary and the flow channel contour;

[0016] According to the flow channel profile, obtaining the ordinate of the highest point of the flow channel and the ordinate of the lowest point of the flow channel;

[0017] Calculate the height of the flow channel according to the ordinate of the highest point of the flow channel and the ordinate of the lowest point of the flow channel;

[0018] Calculating the outlet liquid level according to the ordinate of the liquid level boundary and the height of the flow channel;

[0019] The calculation formula of the outlet liquid level is as follows:

[0020] ,

[0021] in, is the outlet liquid level, is the ordinate of the liquid level boundary, is the ordinate of the highest point of the flow channel, is the ordinate of the lowest point of the flow channel.

[0022] Preferably, the calculating the flow channel temperature variation coefficient according to the flow channel temperature comprises the following steps:

[0023] Get the temperature measurement interval;

[0024] Establishing temperature time series data according to the flow tank temperature and the temperature measurement interval;

[0025] Calculating the flow channel temperature variation coefficient according to the temperature time series data;

[0026] The calculation formula of the flow channel temperature variation coefficient is as follows:

[0027] ,

[0028] in, is the temperature variation coefficient of the flow channel, is the flow channel temperature at the current moment, is the flow cell temperature at the last measurement time, is the temperature measurement interval.

[0029] Preferably, the calculation of the overflow index according to the outlet liquid level and the temperature variation coefficient of the flow tank comprises the following steps:

[0030] Construct overflow index calculation model;

[0031] Calibrate the overflow index calculation model according to historical data to obtain weights and influencing parameters;

[0032] Inputting the outlet liquid level and the flow channel temperature variation coefficient into the overflow index calculation model;

[0033] Calculating the overflow index according to the outlet liquid level, the flow tank temperature variation coefficient, the weight and the influencing parameter;

[0034] The formula of the overflow index calculation model is as follows:

[0035] ,

[0036] in, is the overflow index, is the liquid level weight, is the outlet liquid level, is the liquid level influencing parameter, is the temperature weight, is the temperature variation coefficient of the flow channel, is the temperature-affected parameter, , .

[0037] Preferably, judging the furnace outlet state according to the overflow index and controlling the furnace outlet comprises the following steps:

[0038] comparing the overflow index to a first threshold;

[0039] When the overflow index is greater than or equal to the first threshold, the furnace outlet is in overflow state, and the furnace outlet is closed.

[0040] Preferably, judging the furnace outlet state according to the overflow index and controlling the furnace outlet further comprises the following steps:

[0041] When the overflow index is less than the first threshold, comparing the overflow index with a second threshold;

[0042] When the overflow index is less than the second threshold, the furnace outlet state is normal, and the furnace outlet is maintained;

[0043] When the overflow index is greater than or equal to the second threshold, the furnace outlet state is pre-overflow;

[0044] The furnace outlet is adjusted according to the overflow index.

[0045] Preferably, adjusting the furnace outlet according to the overflow index comprises the following steps:

[0046] Subtract the overflow index from the second threshold to obtain an overflow difference;

[0047] According to the overflow difference, calculate the aluminum size at the furnace outlet;

[0048] Adjusting the working size of the furnace outlet to the aluminum output size;

[0049] The calculation formula of the aluminum output size is as follows:

[0050] ,

[0051] in, For the aluminum size, is the normal working size of the furnace outlet, is the overflow difference, The maximum size of the furnace outlet.

[0052] In a second aspect, the present invention provides a smelting furnace aluminum outlet overflow monitoring system, which uses the above-mentioned smelting furnace aluminum outlet overflow monitoring method, including: an outlet image acquisition module, an outlet liquid level acquisition module, a flow channel temperature acquisition module, a temperature variation coefficient calculation module, an overflow index calculation module and an outlet state judgment module;

[0053] The outlet image acquisition module is used to acquire the furnace outlet image;

[0054] The outlet liquid level acquisition module is used to perform image recognition on the furnace outlet image to obtain the outlet liquid level;

[0055] The flow channel temperature acquisition module is used to obtain the flow channel temperature;

[0056] The temperature variation coefficient calculation module is used to calculate the temperature variation coefficient of the flow channel according to the flow channel temperature;

[0057] The overflow index calculation module calculates the overflow index according to the outlet liquid level and the flow tank temperature variation coefficient;

[0058] The outlet state judgment module is used to judge the outlet state of the furnace according to the overflow index and control the outlet of the furnace.

[0059] In a third aspect, the present invention provides an electronic device comprising a processor and a memory, wherein the memory is used to store computer program code, and the computer program code comprises computer instructions. When the processor executes the computer instructions, the electronic device executes the above-mentioned method for monitoring overflow at an aluminum outlet of a smelting furnace.

[0060] In a fourth aspect, the present invention provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions, and when the program instructions are executed by a processor of an electronic device, the processor executes the above-mentioned method for monitoring overflow at an aluminum outlet of a smelting furnace.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] The present invention obtains an image of the aluminum outlet of the smelting furnace, identifies the image to obtain the liquid level of the aluminum outlet, calculates the temperature change trend of the flow channel based on the obtained liquid level data, calculates the overflow index according to the outlet liquid level and the temperature change coefficient, analyzes the working state of the aluminum outlet of the smelting furnace, controls the aluminum outlet of the smelting furnace according to the analysis result, and improves the accuracy of the overflow monitoring result of the aluminum outlet of the smelting furnace;

[0063] The present invention judges the outlet state of the smelting furnace by comparing the overflow index with the first threshold value and / or the second threshold value, and adjusts the outlet of the smelting furnace according to the overflow index, which is beneficial to preventing overflow from occurring at the aluminum outlet of the smelting furnace and improving the safety of the aluminum outlet of the smelting furnace. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0065] 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, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0066] Figure 1 A schematic flow chart of a method for monitoring overflow at an aluminum outlet of a smelting furnace provided in this embodiment;

[0067] Figure 2 In step S2 provided in this embodiment, image recognition is performed on the furnace outlet image to obtain a flow chart of the outlet liquid level;

[0068] Figure 3A schematic flow chart of step S4 provided in this embodiment, which is a flow chart of calculating the flow channel temperature variation coefficient according to the flow channel temperature;

[0069] Figure 4 Step S5 provided in this embodiment is a flow chart of calculating the overflow index according to the outlet liquid level and the flow tank temperature variation coefficient;

[0070] Figure 5 A schematic diagram of a process for controlling the furnace outlet in step S6 of this embodiment, which determines the furnace outlet state according to the overflow index;

[0071] Figure 6 Step S66 provided in this embodiment is a flow chart of adjusting the furnace outlet according to the overflow index;

[0072] Figure 7 A schematic diagram of a structure of a smelting furnace aluminum outlet overflow monitoring system provided in this embodiment;

[0073] Figure 8 A schematic diagram of the structure of an electronic device provided in this embodiment. DETAILED DESCRIPTION

[0074] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0075] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the components in a certain specific posture. If the specific posture changes, the directional indication will also change accordingly.

[0076] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their 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 at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0077] Embodiment 1

[0078] This embodiment provides a method for monitoring overflow at an aluminum outlet of a smelting furnace. Figure 1 As shown, the following steps are included:

[0079] S1, obtaining the furnace outlet image;

[0080] S2, performing image recognition on the furnace outlet image to obtain the outlet liquid level;

[0081] S3, obtaining the flow channel temperature;

[0082] S4, calculating the flow channel temperature variation coefficient according to the flow channel temperature;

[0083] S5, calculating the overflow index according to the outlet liquid level and the flow channel temperature variation coefficient;

[0084] S6, judging the furnace outlet state according to the overflow index and controlling the furnace outlet.

[0085] It should be noted that the furnace outlet image can be obtained by high-definition camera equipment, and the obtained furnace outlet image includes the launder connected to the aluminum outlet of the smelting furnace and the aluminum liquid in the launder. The outlet liquid level is the liquid level of the aluminum liquid in the launder of the aluminum outlet, which is obtained by image recognition of the furnace outlet image. The launder temperature can be obtained by a temperature sensor set in the launder. The overflow index is calculated based on the outlet liquid level and the launder temperature. The overflow index is used to evaluate the flow of aluminum liquid at the aluminum outlet of the smelting furnace. The larger the overflow index, the closer the aluminum outlet is to the overflow state or is already in the overflow state. Therefore, the state of the aluminum outlet of the smelting furnace is judged by the size of the overflow index.

[0086] In this embodiment, an image of the aluminum outlet of the smelting furnace is obtained, the image is identified to obtain the liquid level of the aluminum outlet, and the temperature change trend of the flow channel is calculated based on the obtained liquid level data. The overflow index is calculated according to the outlet liquid level and the temperature change coefficient, and the working state of the aluminum outlet of the smelting furnace is analyzed. The aluminum outlet of the smelting furnace is controlled according to the analysis results, thereby improving the accuracy of the overflow monitoring results of the aluminum outlet of the smelting furnace.

[0087] In some embodiments, step S2, image recognition is performed on the furnace outlet image to obtain the outlet liquid level, such as Figure 2 As shown, the following steps are included:

[0088] S21, grayscale processing is performed on the furnace outlet image to obtain an outlet grayscale image;

[0089] S22, performing edge extraction on the outlet grayscale image to obtain the ordinate of the liquid level boundary and the flow channel contour;

[0090] S23, obtaining the ordinate of the highest point of the flow channel and the ordinate of the lowest point of the flow channel according to the flow channel profile;

[0091] S24, calculating the height of the flow channel according to the ordinate of the highest point of the flow channel and the ordinate of the lowest point of the flow channel;

[0092] S25, calculating the outlet liquid level according to the ordinate of the liquid level boundary and the flow channel height;

[0093] The calculation formula for the outlet liquid level is as follows:

[0094] ,

[0095] in, is the outlet liquid level, is the ordinate of the liquid level boundary, is the ordinate of the highest point of the flow channel, is the ordinate of the lowest point of the flow channel.

[0096] It should be noted that, in order to perform image recognition on the furnace outlet image and obtain the outlet liquid level, it is necessary to first perform grayscale processing and edge extraction on the furnace outlet image to obtain the liquid level boundary and the contour of the flow channel. A coordinate system is established for the outlet grayscale image to obtain the coordinate data of the liquid level boundary and the flow channel contour obtained by edge extraction. In some embodiments, the ordinate of the liquid level boundary and the ordinate of the highest and lowest points of the flow channel contour are obtained, and the position of the aluminum liquid level in the flow channel is calculated to obtain the outlet liquid level.

[0097] In this embodiment, the furnace outlet image is identified by image recognition technology, and the position of the molten aluminum level in the flow channel is calculated to obtain the outlet liquid level, which provides a data basis for subsequent overflow monitoring and improves the accuracy of overflow monitoring at the aluminum outlet of the smelting furnace.

[0098] In some embodiments, step S4, based on the flow tank temperature, calculate the flow tank temperature variation coefficient, such as Figure 3 As shown, the following steps are included:

[0099] S41, obtaining a temperature measurement interval;

[0100] S42, establishing temperature time series data according to the flow channel temperature and the temperature measurement interval;

[0101] S43, calculating the flow channel temperature variation coefficient according to the temperature time series data;

[0102] The calculation formula of the flow channel temperature variation coefficient is as follows:

[0103] ,

[0104] in, is the temperature variation coefficient of the flow channel, is the flow channel temperature at the current moment, is the flow cell temperature at the last measurement time, is the temperature measurement interval.

[0105] It should be noted that when monitoring overflow, the temperature change of the launder also needs to be obtained. Considering that the overflow phenomenon cannot be accurately monitored only by the liquid level of the aluminum liquid in the launder, when the overflow phenomenon occurs, the temperature of the aluminum liquid will also change, usually manifested as a temperature increase. The temperature variation coefficient is used to measure the temperature variation trend of the aluminum liquid in the launder, and can predict the overflow phenomenon to a certain extent. Therefore, on the basis of obtaining the outlet liquid level, the temperature variation coefficient of the launder is obtained, and overflow monitoring is performed through the two data of liquid level and temperature.

[0106] In this embodiment, by acquiring the flow channel temperature and calculating the flow channel temperature variation coefficient, a data basis is provided for subsequent overflow monitoring, thereby improving the accuracy of overflow monitoring at the aluminum outlet of the smelting furnace.

[0107] In some embodiments, in step S5, the overflow index is calculated based on the outlet liquid level and the flow tank temperature variation coefficient, such as Figure 4 As shown, the following steps are included:

[0108] S51, construct overflow index calculation model;

[0109] S52, calibrating the overflow index calculation model according to historical data to obtain weights and influencing parameters;

[0110] S53, inputting the outlet liquid level and the flow channel temperature variation coefficient into the overflow index calculation model;

[0111] S54, calculating the overflow index according to the outlet liquid level, the flow channel temperature variation coefficient, the weight and the influencing parameter;

[0112] The formula of the overflow index calculation model is as follows:

[0113] ,

[0114] in, is the overflow index, is the liquid level weight, is the outlet liquid level, is the liquid level influencing parameter, is the temperature weight, is the temperature variation coefficient of the flow channel, is the temperature-affected parameter, , .

[0115] It should be noted that in the overflow index calculation model, and The weights of controlling the liquid level and temperature are determined by historical data. Liquid level affects parameters and Temperature influence parameters are used to describe the effect of changes in liquid level on the speed of overflow and the effect of changes in temperature on the expansion of molten aluminum.

[0116] In this embodiment, an overflow index calculation model is constructed, model parameters are determined according to historical data, and overflow index is calculated for overflow monitoring, thereby improving the accuracy of overflow monitoring at the aluminum outlet of the smelting furnace.

[0117] In some embodiments, step S6, judging the furnace outlet state according to the overflow index, and controlling the furnace outlet, such as Figure 5 As shown, the following steps are included:

[0118] S61, comparing the overflow index with a first threshold;

[0119] S62: When the overflow index is greater than or equal to the first threshold, the furnace outlet is in overflow state, and the furnace outlet is closed.

[0120] In some embodiments, step S6, judging the furnace outlet state according to the overflow index, and controlling the furnace outlet, such as Figure 5 As shown, the following steps are also included:

[0121] S63, when the overflow index is less than the first threshold, comparing the overflow index with a second threshold;

[0122] S64, when the overflow index is less than the second threshold value, the furnace outlet state is normal, and the furnace outlet is maintained;

[0123] S65, when the overflow index is greater than or equal to the second threshold, the furnace outlet state is pre-overflow;

[0124] S66, adjusting the furnace outlet according to the overflow index.

[0125] It should be noted that the furnace outlet status is determined based on the size of the overflow index. Specifically, by setting the first threshold and the second threshold, the size of the overflow index is divided into three ranges, namely greater than or equal to the first threshold, less than the first threshold and greater than or equal to the second threshold, and less than the second threshold, and the corresponding furnace outlet statuses are overflow, pre-overflow and normal. After determining the furnace outlet status, the aluminum outlet of the smelting furnace is adjusted according to the analysis results. Specifically, when the furnace outlet status is overflow, the aluminum outlet is immediately closed; when the furnace outlet status is normal, the normal working size of the aluminum outlet is maintained; when the furnace outlet status is pre-overflow, this status indicates that an overflow warning is required, and the size of the aluminum outlet needs to be adjusted to prevent the aluminum outlet of the smelting furnace from entering an overflow state. Therefore, the furnace outlet needs to be adjusted according to the size of the overflow index.

[0126] In this embodiment, the outlet state of the smelting furnace is judged by comparing the overflow index with the first threshold value and / or the second threshold value, and the outlet of the smelting furnace is adjusted according to the overflow index, which is beneficial to prevent overflow from occurring at the aluminum outlet of the smelting furnace and improve the safety of the aluminum outlet of the smelting furnace.

[0127] In some embodiments, step S66, the furnace outlet is adjusted according to the overflow index, such as Figure 6 As shown, the following steps are included:

[0128] S661, subtracting the overflow index from the second threshold to obtain an overflow difference;

[0129] S662, calculating the aluminum size at the furnace outlet according to the overflow difference;

[0130] S663, adjust the working size of the furnace outlet to the aluminum output size;

[0131] The calculation formula for aluminum output size is as follows:

[0132] ,

[0133] in, For the aluminum size, is the normal working size of the furnace outlet, is the overflow difference, The maximum size of the furnace outlet.

[0134] Embodiment 2

[0135] This embodiment provides a smelting furnace aluminum outlet overflow monitoring system, using the above-mentioned smelting furnace aluminum outlet overflow monitoring method, such as Figure 7 As shown, it includes: an outlet image acquisition module, an outlet liquid level acquisition module, a flow channel temperature acquisition module, a temperature variation coefficient calculation module, an overflow index calculation module and an outlet state judgment module;

[0136] An exit image acquisition module, used to acquire the furnace exit image;

[0137] The outlet liquid level acquisition module is used to perform image recognition on the furnace outlet image to obtain the outlet liquid level;

[0138] A flow channel temperature acquisition module is used to obtain the flow channel temperature;

[0139] A temperature variation coefficient calculation module is used to calculate the temperature variation coefficient of the flow channel according to the flow channel temperature;

[0140] An overflow index calculation module is used to calculate the overflow index according to the outlet liquid level and the flow tank temperature variation coefficient;

[0141] The outlet state judgment module is used to judge the outlet state of the furnace according to the overflow index and control the outlet of the furnace.

[0142] In this embodiment, an image of the aluminum outlet of the smelting furnace is obtained, the image is identified to obtain the liquid level of the aluminum outlet, and the temperature change trend of the flow channel is calculated based on the obtained liquid level data. The overflow index is calculated according to the outlet liquid level and the temperature change coefficient, and the working state of the aluminum outlet of the smelting furnace is analyzed. The aluminum outlet of the smelting furnace is controlled according to the analysis results, thereby improving the accuracy of the overflow monitoring results of the aluminum outlet of the smelting furnace.

[0143] It should be understood that the disclosed system can be implemented in other ways. For example, the system embodiments described above are merely schematic. For example, the division of the above modules is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, each functional module can be integrated into a processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0144] Embodiment 3

[0145] This embodiment provides an electronic device 2, such as Figure 8 As shown, a processor 21 and a memory 22, the memory 22 is used to store computer program codes, the computer program codes include computer instructions, when the processor 21 executes the computer instructions, the electronic device executes the above-mentioned method for monitoring overflow at the aluminum outlet of a smelting furnace.

[0146] The electronic device 2 includes a processor 21, a memory 22, an output device 23, and an input device 24. The processor 21, the memory 22, the output device 23, and the input device 24 are coupled via a connector, and the connector includes various interfaces, transmission lines, or buses, etc., which are not limited in the embodiments of the present invention. It should be understood that in various embodiments of the present invention, coupling refers to mutual connection in a specific manner, including direct connection or indirect connection through other devices, for example, through various interfaces, transmission lines, buses, etc.

[0147] The processor 21 may be one or more graphics processing units (GPUs). When the processor 21 is a GPU, the GPU may be a single-core GPU or a multi-core GPU. Optionally, the processor 21 may be a processor group consisting of multiple GPUs, and the multiple processors are coupled to each other via one or more buses. Optionally, the processor 21 may also be other types of processors, etc., which are not limited in the embodiments of the present invention.

[0148] The memory 22 can be used to store computer program instructions and various computer program codes including program codes for executing the scheme of the present invention. Optionally, the memory 22 includes but is not limited to random access memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM), or portable read only memory (CD-ROM), and the memory 22 is used for related instructions and data.

[0149] The input device 24 is used to input data and / or signals, and the output device 23 is used to output data and / or signals. The output device 23 and the input device 24 can be independent devices or an integrated device.

[0150] This embodiment provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes the above-mentioned method for monitoring overflow at an aluminum outlet of a smelting furnace.

[0151] The above are only specific embodiments of the present invention, which enable those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for monitoring overflow at an aluminum outlet of a smelting furnace, characterized in that: The following steps are involved: Acquire furnace exit images; Performing image recognition on the furnace outlet image to obtain the outlet liquid level; Get the flow tank temperature; Calculating a flow channel temperature variation coefficient according to the flow channel temperature; Calculating an overflow index according to the outlet liquid level and the flow tank temperature variation coefficient; Judging the furnace outlet state according to the overflow index and controlling the furnace outlet; The method of calculating the overflow index according to the outlet liquid level and the flow channel temperature variation coefficient comprises the following steps: Construct overflow index calculation model; Calibrate the overflow index calculation model according to historical data to obtain weights and influencing parameters; Inputting the outlet liquid level and the flow channel temperature variation coefficient into the overflow index calculation model; Calculating the overflow index according to the outlet liquid level, the flow tank temperature variation coefficient, the weight and the influencing parameter; The formula of the overflow index calculation model is as follows: ， in, is the overflow index, is the liquid level weight, is the outlet liquid level, is the liquid level influencing parameter, is the temperature weight, is the temperature variation coefficient of the flow channel, is the temperature-affected parameter, , .

2. A method for monitoring overflow at an aluminum outlet of a smelting furnace according to claim 1, characterized in that: The step of performing image recognition on the furnace outlet image to obtain the outlet liquid level comprises the following steps: Performing grayscale processing on the furnace outlet image to obtain an outlet grayscale image; Performing edge extraction on the outlet grayscale image to obtain the ordinate of the liquid level boundary and the flow channel contour; According to the flow channel profile, obtaining the ordinate of the highest point of the flow channel and the ordinate of the lowest point of the flow channel; Calculate the height of the flow channel according to the ordinate of the highest point of the flow channel and the ordinate of the lowest point of the flow channel; Calculating the outlet liquid level according to the ordinate of the liquid level boundary and the height of the flow channel; The calculation formula of the outlet liquid level is as follows: ， in, is the outlet liquid level, is the ordinate of the liquid level boundary, is the ordinate of the highest point of the flow channel, is the ordinate of the lowest point of the flow channel.

3. The method for monitoring overflow at an aluminum outlet of a smelting furnace according to claim 1, characterized in that: Calculating the flow channel temperature variation coefficient according to the flow channel temperature includes the following steps: Get the temperature measurement interval; Establishing temperature time series data according to the flow tank temperature and the temperature measurement interval; Calculating the flow channel temperature variation coefficient according to the temperature time series data; The calculation formula of the flow channel temperature variation coefficient is as follows: ， in, is the temperature variation coefficient of the flow channel, is the flow channel temperature at the current moment, is the flow cell temperature at the last measurement time, is the temperature measurement interval.

4. The method for monitoring overflow at an aluminum outlet of a smelting furnace according to claim 1, characterized in that: The method of judging the furnace outlet state according to the overflow index and controlling the furnace outlet comprises the following steps: comparing the overflow index to a first threshold; When the overflow index is greater than or equal to the first threshold, the furnace outlet is in overflow state, and the furnace outlet is closed.

5. The method for monitoring overflow at an aluminum outlet of a smelting furnace according to claim 1, characterized in that: The method of judging the furnace outlet state according to the overflow index and controlling the furnace outlet further comprises the following steps: When the overflow index is less than the first threshold, comparing the overflow index with a second threshold; When the overflow index is less than the second threshold, the furnace outlet state is normal, and the furnace outlet is maintained; When the overflow index is greater than or equal to the second threshold, the furnace outlet state is pre-overflow; The furnace outlet is adjusted according to the overflow index.

6. A method for monitoring overflow at an aluminum outlet of a smelting furnace according to claim 5, characterized in that: The step of adjusting the furnace outlet according to the overflow index comprises the following steps: Subtract the overflow index from the second threshold to obtain an overflow difference; According to the overflow difference, calculate the aluminum size at the furnace outlet; Adjusting the working size of the furnace outlet to the aluminum output size; The calculation formula of the aluminum output size is as follows: ， in, For the aluminum size, is the normal working size of the furnace outlet, is the overflow difference, The maximum size of the furnace outlet.

7. A smelting furnace aluminum outlet overflow monitoring system, using a smelting furnace aluminum outlet overflow monitoring method according to any one of claims 1 to 6, characterized in that: include: An outlet image acquisition module, an outlet liquid level acquisition module, a flow channel temperature acquisition module, a temperature variation coefficient calculation module, an overflow index calculation module and an outlet state judgment module; The outlet image acquisition module is used to acquire the furnace outlet image; The outlet liquid level acquisition module is used to perform image recognition on the furnace outlet image to obtain the outlet liquid level; The flow channel temperature acquisition module is used to obtain the flow channel temperature; The temperature variation coefficient calculation module is used to calculate the temperature variation coefficient of the flow channel according to the flow channel temperature; The overflow index calculation module calculates the overflow index according to the outlet liquid level and the flow tank temperature variation coefficient; The outlet state judgment module is used to judge the outlet state of the furnace according to the overflow index and control the outlet of the furnace.

8. An electronic device, characterized in that: It includes a processor and a memory, the memory is used to store computer program code, the computer program code includes computer instructions, when the processor executes the computer instructions, the electronic device executes a method for monitoring overflow at an aluminum outlet of a smelting furnace as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes a method for monitoring overflow at an aluminum outlet of a smelting furnace as described in any one of claims 1 to 6.

Images