Converter gas diffusion chimney long open fire monitoring method and related equipment

Abstract

The invention discloses a converter gas diffusion chimney long open fire monitoring method and related equipment, and relates to the technical field of steel smelting, the method comprises the following steps: obtaining a first flame radiation characteristic parameter from an infrared thermal imager and a second flame radiation characteristic parameter from an optical pyrometer; determining a first flame space distribution state based on the first flame radiation characteristic parameter; determining a second flame space distribution state based on a comparison result of the second flame radiation characteristic parameter and a preset temperature threshold value; performing cross validation on the first flame space distribution state and the second flame space distribution state to generate a flame state judgment signal; and when the flame state judgment signal indicates that the flame is extinguished, a long open fire abnormity alarm instruction is triggered. Through multi-source flame characteristic parameter fusion and cross validation, flame state recognition and automatic alarm with high accuracy and low false alarm rate are realized, and the safety and intelligent level of a gas system can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of steel smelting, and more particularly, to a converter gas diffusing chimney eternal fire monitoring method and related equipment. BACKGROUND

[0002] With the continuous improvement of automation and intelligence level of the steel metallurgical industry, the converter gas diffusing chimney as an important safety discharge device, its real-time monitoring of eternal fire state has important significance in ensuring the stable operation of the system and preventing safety accidents; the eternal fire is not only the external manifestation of normal combustion diffusion, but also an important basis for judging whether the gas system is stable, whether there is abnormal backflow or leakage risk. Therefore, building a set of accurate, efficient and reliable eternal fire monitoring mechanism has become a problem that needs to be solved in industrial field.

[0003] In the prior art, eternal fire monitoring mostly relies on a single type of sensor device, such as using an infrared thermal imager to obtain a flame image, or measuring the radiation intensity through an optical pyrometer; however, a single sensor is easily affected by external environmental interference in actual application, such as light changes, smoke shielding, air flow disturbance, etc., resulting in false positives or false negatives of the monitoring results, especially in extreme working conditions, its stability and accuracy are difficult to meet the needs of industrial-level applications; at the same time, some schemes fail to achieve comprehensive identification of the flame space state, relying only on temperature or image features for determination, thereby limiting the reliability and intelligence level of the system. That is, the related art generally has the technical problems of poor flame recognition robustness, high false positive rate, and imperfect alarm triggering mechanism. SUMMARY

[0004] A series of simplified concepts are introduced in the summary part of the present application, which will be further described in detail in the specific embodiment part. The summary part of the present application does not mean to try to limit the key features and necessary technical features of the claimed technical solution, and even less means to determine the protection scope of the claimed technical solution.

[0005] The converter gas diffusing chimney eternal fire monitoring method and related equipment provided by the present application can realize high-accuracy, low-false-positive-rate flame state recognition and automatic alarm through multi-source flame feature parameter fusion and cross verification, and can improve the safety and intelligence level of the gas system.

[0006] In a first aspect, the application provides a method for monitoring a long-lasting flame of a converter gas emission stack, comprising: obtaining a first flame radiation characteristic parameter from an infrared thermal imager and a second flame radiation characteristic parameter from an optical pyrometer; determining a first flame spatial distribution state based on the first flame radiation characteristic parameter; determining a second flame spatial distribution state based on a comparison result of the second flame radiation characteristic parameter and a preset temperature threshold; cross-verifying the first flame spatial distribution state and the second flame spatial distribution state to generate a flame state determination signal; and triggering a long-lasting flame abnormality alarm instruction when the flame state determination signal indicates that the flame is extinguished.

[0007] In some embodiments, the determining of the first flame spatial distribution state based on the first flame radiation characteristic parameter comprises: extracting a first average temperature value and a temperature distribution gradient of a preset attention region from the first flame radiation characteristic parameter; and determining that the first flame spatial distribution state is abnormal when the first average temperature value is less than a first threshold value and / or the temperature distribution gradient is greater than a second threshold value.

[0008] In some embodiments, the preset temperature threshold comprises a first temperature threshold and a second temperature threshold; the determining of the second flame spatial distribution state based on the comparison result of the second flame radiation characteristic parameter and the preset temperature threshold comprises: extracting a second average temperature value and a temperature fluctuation amplitude of a preset attention region within a preset time period from the second flame radiation characteristic parameter; determining that the second flame spatial distribution state is abnormal when the second average temperature value is less than the first temperature threshold; determining that the second flame spatial distribution state is abnormal when the second average temperature value is greater than or equal to the first temperature threshold and less than the second temperature threshold, and the temperature fluctuation amplitude is greater than a preset amplitude threshold; determining that the second flame spatial distribution state is normal when the second average temperature value is greater than or equal to the first temperature threshold and less than the second temperature threshold, and the temperature fluctuation amplitude is less than or equal to the preset amplitude threshold; and determining that the second flame spatial distribution state is normal when the second average temperature value is greater than or equal to the second temperature threshold.

[0009] In some embodiments, the cross-verifying of the first flame spatial distribution state and the second flame spatial distribution state to generate the flame state determination signal comprises: generating a flame state determination signal indicating that the flame is extinguished when the first flame spatial distribution state and the second flame spatial distribution state are both abnormal; and generating a flame state determination signal indicating that the flame is stably burning when the first flame spatial distribution state and the second flame spatial distribution state are both normal.

[0010] In some embodiments, the converter gas emission stack permanent pilot flame monitoring method further comprises: when any one of the first flame spatial distribution state and the second flame spatial distribution state is an abnormal state, acquiring a temperature signal from a fixed thermocouple; generating a sensor failure alarm signal based on a comparison result of the temperature signal and a third temperature threshold, wherein the sensor failure alarm signal is a signal indicating that a sensor corresponding to a normal state has failed.

[0011] In some embodiments, when the flame state determination signal indicates that the flame is extinguished, the permanent pilot flame abnormal alarm instruction is triggered, including: when the flame state determination signal continuously indicates that the flame is extinguished for a preset time threshold, the permanent pilot flame abnormal alarm instruction is triggered; the converter gas emission stack permanent pilot flame monitoring method further comprises: in response to the permanent pilot flame abnormal alarm instruction, activating a field sound and light alarm device and starting an automatic ignition device to perform a flame rekindling operation.

[0012] In some embodiments, the preset time threshold is determined according to real-time environmental parameters, wherein the real-time environmental parameters include precipitation, wind speed value and atmospheric transmittance.

[0013] In some embodiments, the infrared thermal imager is deployed on the ground area 30-100 meters away from the stack body; the optical pyrometer is coaxially installed with the infrared thermal imager on an explosion-proof pan-tilt device, and the fixed thermocouple is arranged in the flame area at the top of the stack.

[0014] In the second aspect, the application further provides a converter gas emission stack permanent pilot flame monitoring device, comprising: a data acquisition unit configured to acquire a first flame radiation characteristic parameter from an infrared thermal imager and a second flame radiation characteristic parameter from an optical pyrometer; a first state determination unit configured to determine a first flame spatial distribution state based on the first flame radiation characteristic parameter; a second state determination unit configured to determine a second flame spatial distribution state based on a comparison result of the second flame radiation characteristic parameter and a preset temperature threshold; a determination signal generation unit configured to cross-verify the first flame spatial distribution state and the second flame spatial distribution state to generate a flame state determination signal; and an alarm instruction generation unit configured to trigger a permanent pilot flame abnormal alarm instruction when the flame state determination signal indicates that the flame is extinguished.

[0015] In the third aspect, the application further provides an electronic device, comprising: a memory and a processor, wherein the processor is configured to implement the steps of the converter gas emission stack permanent pilot flame monitoring method of the first aspect when executing a computer program stored in the memory.

[0016] In a fourth aspect, the present application also provides a computer readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the converter gas emission stack eternal fire monitoring method of the first aspect.

[0017] In a fifth aspect, the present application also provides a computer program product comprising a computer program or computer executable instructions, which, when executed by a processor, implements the converter gas emission stack eternal fire monitoring method provided by the embodiments of the present application.

[0018] In summary, the present application fuses two different types of flame radiation characteristic parameters collected by the infrared thermal imager and the optical pyrometer, respectively identifies and determines the flame from two dimensions of image space information and temperature intensity information, can effectively avoid the misjudgment caused by shielding, light interference or environmental changes of a single sensor, can improve the accuracy and robustness of flame state recognition; adopts a cross verification mechanism, i.e. compares and verifies the flame spatial distribution state obtained by the two sensors, only in the case that the multi-source information consistently indicates that the flame is extinguished, an alarm is triggered, effectively reducing the false positive rate and the false negative rate, enhancing the reliable operation ability of the monitoring system in the complex industrial environment; when it is determined that the flame has been extinguished, an eternal fire abnormality alarm instruction can be automatically sent, supporting linkage with the back-end control system, realizing early abnormal response and automatic intervention, improving the operation safety and intelligent level of the gas system, and reducing the dependence and delay of manual inspection. In summary, the converter gas emission stack eternal fire monitoring method provided by the present application realizes high-accuracy, low-false-positive-rate flame state recognition and automatic alarm through multi-source flame characteristic parameter fusion and cross verification, and can improve the safety and intelligent level of the gas system. BRIEF DESCRIPTION OF DRAWINGS

[0019] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The accompanying drawings are included to provide a description of the preferred embodiments and are not intended to limit the scope of the present application. Moreover, the same reference numerals are used throughout the same figures. In the drawings:

[0020] Figure 1 A flowchart of a converter gas emission stack eternal fire monitoring method provided by an embodiment of the present application;

[0021] Figure 2 A composition structure diagram of a converter gas emission stack eternal fire monitoring device provided by an embodiment of the present application;

[0022] Figure 3 A composition structure diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0023] The terms, such as "first", "second", "third", "fourth" and the like (if any) in the specification, claims and drawings of the present application are used to distinguish similar objects, not to describe a particular sequential or chronological order. Therefore, it is understood that these terms can be used interchangeably, as appropriate, to achieve a described embodiment, unless a specific requirement is otherwise required by the illustration or description. In addition, the terms "is" and "has" and any variations thereof in the present application are intended to cover non-exclusive inclusion of all possible constituent elements. For example, a process, method, system, product or device including several steps or units does not necessarily limit to only the steps or units explicitly listed, but can also include other steps or units not explicitly listed or inherent to the process, method, product or device.

[0024] In the present application, "module" or "unit" refers to a computer program or a part of a computer program with a specific function, and works with other related parts to achieve a predetermined target. These modules or units can be implemented by software, hardware (such as processing circuitry or memory) or a combination of the two. One or more processors or memories can implement one or more modules or units. At the same time, each module or unit can also be part of a larger module or unit.

[0025] The technical solutions in the present application will be described in detail below in conjunction with the drawings in the embodiments. It should be noted that the described embodiments are only a part of the present application, not all embodiments. In the following description, "some embodiments" mentioned is only a subset of all possible embodiments, which can be the same or different subset, and different embodiments can be combined with each other without conflict.

[0026] Figure 1 is a flowchart of a converter gas diffusion chimney eternal fire monitoring method provided by an embodiment of the present application. For example, see Figure 1 The converter gas diffusion chimney eternal fire monitoring method provided by the embodiment of the present application can include the following steps 101 to 105:

[0027] Step 101, acquiring first flame radiation characteristic parameters from an infrared thermal imager and second flame radiation characteristic parameters from an optical pyrometer;

[0028] In some examples, the infrared thermal imager is a non-contact imaging temperature measurement device that generates a thermal image by detecting infrared radiation emitted by the surface of an object; in the monitoring site, the infrared thermal imager is fixedly installed at a safe distance of about 50 meters from the chimney, is aligned with the ignition flame area at the top of the chimney, collects the infrared radiation intensity of each pixel point in the field of view, and is converted into a temperature distribution map through a built-in algorithm; for example, in the image recorded by the infrared thermal imager, the flame area appears as a high-temperature bright spot, and the maximum temperature value, the average temperature value, the hot spot area, the flame position coordinates and other parameters in the area can be extracted as the first flame radiation characteristic parameters. The first flame radiation characteristic parameters are a set of parameters extracted from the infrared thermal imager image, which can reflect the existence, intensity and spatial characteristics of the flame, and the flame area can be extracted by using an image processing algorithm, and then the temperature mean value, the maximum value, the hot spot area, the shape contour, the thermal gradient and other indexes of the area can be calculated. The optical pyrometer is a temperature measuring instrument based on the blackbody radiation law, which usually adopts the colorimetric (double-wavelength or multi-wavelength) method to measure the temperature by comparing the radiation intensity ratio of the target at two (or more) wavelengths; the optical pyrometer is installed side by side with the infrared thermal imager, and a precision aiming mechanism is used to fix and aim at the core area (such as the flame root) of the ignition flame, and the pyrometer collects the radiation signal emitted by the flame in real time and calculates the instantaneous temperature reading; for example, the optical pyrometer measures that the temperature of the core point of the flame is 683°C, and updates once per second. The second flame radiation characteristic parameter is measured by the optical pyrometer and is used to represent the temperature state of the central area of the flame, which can be a point temperature value; the radiation intensity of a certain point at two or more wavelengths can be collected in real time, and then the colorimetric method algorithm is used to convert it into an accurate temperature.

[0029] For example, in the field deployment, the infrared thermal imager captures a thermal image every second, and the processing software automatically locates the flame area and extracts the temperature distribution; at the same time, the optical pyrometer continuously measures the point temperature of the flame core; the two groups of data can be transmitted to the control system in real time through the edge computing unit for the subsequent steps to perform flame state judgment and alarm strategy.

[0030] By implementing step 101, two different types of sensors are introduced, which can realize multi-dimensional and multi-angle collection of flame information; the infrared thermal imager provides spatial image distribution information, and the optical pyrometer provides temperature intensity data, which can complement each other, enhance the comprehensive perception ability of the flame state, improve the accuracy and robustness of the detection, and reduce the risk of misjudgment due to a single data source.

[0031] Step 102, determining a first flame spatial distribution state based on the first flame radiation characteristic parameters;

[0032] In some examples, the first flame spatial distribution state refers to the geometric shape, position, coverage area, distribution structure, etc. of the flame observed from the thermal image, which can be used to determine whether the flame is stable, deviated, too small or extinguished; the first flame spatial distribution state includes but is not limited to the spatial position of the flame, the area and shape of the flame, whether the flame is complete or broken, the change trajectory of the flame barycenter and the stability of the flame boundary contour, etc.; the first flame radiation characteristic parameters extracted from the image collected by the infrared thermal imager can be used to determine the first flame spatial distribution state of the flame through image processing and spatial analysis algorithms. For example, the flame area is 0.15 square meters, located about 7 degrees above the center of the picture, and the shape is approximately elliptical; the flame edge is stable, and the barycenter deviates by no more than 1 pixel in 5 seconds, indicating that the flame distribution is stable, and if the flame area suddenly decreases and the barycenter deviates by more than 5 degrees, it is determined to be "deviated or unstable".

[0033] For example, by performing thermal image analysis on the infrared thermal imager image, the pixel set of the high-temperature region is automatically extracted, and the area and barycenter coordinates of the flame are calculated; the threshold value is set to determine whether the flame is within the normal spatial distribution range, and if the flame is detected to be significantly deviated or deformed, it is immediately marked as an abnormal state and a warning signal is sent.

[0034] Through the implementation of step 102, the image data provided by the infrared thermal imager is used for spatial state recognition, which can directly present the shape, position and coverage range of the flame, facilitate dynamic tracking of flame changes, and improve the real-time and accuracy of monitoring, especially suitable for complex working conditions where visual recognition is advantageous.

[0035] Step 103, determining the second flame spatial distribution state based on the comparison result of the second flame radiation characteristic parameters and the preset temperature threshold value;

[0036] In some examples, the preset temperature threshold value refers to a key temperature interval or specific value set in advance according to the working condition requirements, safety standards or experience data, which is used to determine whether the flame has reached a qualified combustion state; for example, the lower limit threshold value can be set to 950℃, and below this value is considered to be insufficient combustion, and the upper limit threshold value can also be set to 1400℃ to avoid overheating of the furnace. The second flame spatial distribution state is based on the temperature point or surface data collected by the optical pyrometer, and by comparing the temperatures at different positions, it is determined whether the flame heat distribution is reasonable, whether there are hot spot areas, large temperature differences, uneven combustion, etc.

[0037] For example, the optical pyrometer collects flame temperature values at multiple measurement points in real time, and compares them one by one with the set upper and lower temperature threshold values, and then calculates the spatial heat distribution map of the flame based on these comparison results, and if a significant low-temperature area or high-temperature concentration area is detected, it is determined that the flame distribution is abnormal, so as to facilitate subsequent control adjustment.

[0038] By implementing step 103, the temperature parameter measured by the optical pyrometer is compared with the preset threshold, which can realize physical quantity judgment of whether the flame really exists, avoid misrecognition caused by image artifacts, reflection, etc., and enhance the reliability of judgment from the thermal dimension.

[0039] Step 104, cross-verification is performed on the first flame spatial distribution state and the second flame spatial distribution state to generate a flame state judgment signal.

[0040] In some examples, cross-verification refers to comparing, matching, and complementing the two flame spatial distribution states obtained by the infrared thermal imager and the optical pyrometer respectively, judging whether they are consistent, mutually confirmatory, or deviate from each other, so as to enhance the accuracy and reliability of the flame monitoring result. If both flame spatial distribution states show that a certain region is abnormal, the result is highly reliable; if one flame spatial distribution state is abnormal and the other is normal, it can be marked as “to be reviewed” or “state uncertain”; if both flame spatial distribution states show normal, the flame state is confirmed to be correct; the two flame spatial distribution states can be set with priority or credibility weighting. For example, the infrared thermal imager has strong spatial shape recognition, and the temperature data is more quantitative, so the first flame spatial distribution state is set as priority or higher weight. The flame state judgment signal is a digital / logical flag or graphical output for controlling the system or operation and maintenance response, which can be used to express the current comprehensive operation state result of the flame. The flame state judgment signal can be a binary signal such as normal (0) and abnormal (1), a multi-level signal such as normal / mild abnormal / serious abnormal, or an image superimposed signal such as superimposing the temperature abnormal region on the thermal image for further analysis by artificial or algorithm.

[0041] For example, the flame shape image obtained by the infrared thermal imager can be spatially registered and state-compared with the temperature data collected by the optical pyrometer, and cross-verification is performed by setting consistency rules; if the verification result confirms that the flame abnormal region really exists, the flame state judgment signal is output, and the feedback adjustment or alarm prompt of the combustion controller can be linked.

[0042] By implementing step 104, the information cross-verification mechanism is used to compare the image recognition result with the temperature data for consistency, so that only when both detection results show that the flame is abnormal or extinguished, the abnormal state is determined, thereby effectively reducing the false positive rate and the false negative rate, and the credibility and stability of the method can be improved.

[0043] Step 105, when the flame state judgment signal indicates that the flame is extinguished, a long-lasting flame abnormality alarm instruction is triggered.

[0044] In some examples, the flame state determination signal is a determination result obtained after the system synthesizes the infrared thermal imager and optical pyrometer data. When the flame state determination signal shows "flame extinguished", it means that the sensor detects the presence of an abnormal long-lasting flame or the temperature is significantly lower than the safe combustion threshold, confirming that the flame has been interrupted or disappeared. The long-lasting flame abnormality alarm instruction is a control instruction automatically issued after confirming that the flame is extinguished, which is used to notify the monitoring system and the operator, prompting that the long-lasting flame poses a safety risk and immediate measures such as automatic ignition or manual intervention should be taken.

[0045] For example, when the cross-validation confirms that the flame state determination signal is "extinguished", the long-lasting flame abnormality alarm instruction is immediately issued, which is transmitted to the on-site alarm device and the automatic ignition control unit through the industrial control network, achieving rapid response and safety guarantee when the flame is extinguished, while recording the alarm event and sensor data to support subsequent analysis and maintenance decisions.

[0046] Through the implementation of step 105, once the flame is confirmed to be extinguished, an alarm can be automatically triggered to promptly notify the operation and maintenance system or the linkage control system for emergency response, avoiding safety accidents such as coal gas backflow and explosion caused by the extinguishing of the long-lasting flame, improving the automation level and operational safety of the method, and reducing the reliance on human intervention.

[0047] In summary, the embodiment of the present application fuses two different types of flame radiation characteristic parameters collected by the infrared thermal imager and the optical pyrometer, respectively identifies and determines the flame from two dimensions of image space information and temperature intensity information, which can effectively avoid misjudgment caused by shielding, light interference or environmental changes of a single sensor, and can improve the accuracy and robustness of flame state recognition; The cross-validation mechanism is adopted, i.e. the flame spatial distribution states obtained by the two sensors are compared and verified. Only when the multi-source information consistently indicates that the flame is extinguished, an alarm is triggered, effectively reducing the false positive rate and the false negative rate, and enhancing the reliable operation capability of the monitoring system in complex industrial environments; When it is determined that the flame is extinguished, a long-lasting flame abnormality alarm instruction can be automatically issued to support linkage with the back-end control system, realize early abnormal response and automatic intervention, improve the operational safety and intelligent level of the coal gas system, and reduce the dependence on and delay of manual inspection. In summary, the long-lasting flame monitoring method for converter gas dispersion stack provided by the embodiment of the present application realizes high-accuracy, low-false-alarm-rate flame state recognition and automatic alarm through multi-source flame characteristic parameter fusion and cross-validation, which can improve the safety and intelligent level of the coal gas system.

[0048] In some embodiments, the aforementioned step 102 can include: extracting a first average temperature value and a temperature distribution gradient of a preset attention region from the first flame radiation characteristic parameter; and determining that the first flame spatial distribution state is an abnormal state when the first average temperature value is less than a first threshold value and / or the temperature distribution gradient is greater than a second threshold value.

[0049] In some examples, the preset attention region refers to a key observation region set artificially or specified automatically by an algorithm in the monitoring picture, which can include a long-lasting fire nozzle, a flame core region, or an easily extinguished edge region. The first average temperature value is a result obtained by averaging the temperature values represented by all pixel points in the preset attention region in the infrared image, reflecting the overall thermal intensity level of the flame in the region. The average value in the attention region can be converted from the radiation intensity of each pixel point in the infrared thermal image to temperature, and then calculated. The temperature distribution gradient is the amplitude or slope of the temperature change between different pixels in the attention region, reflecting the uniformity or disturbance degree of the flame. The greater the temperature distribution gradient, the more unstable the temperature distribution of the flame. The gradient of the temperature field can be calculated by using image processing methods such as Sobel operator and central difference method. For example, the temperature changes sharply from the center of the nozzle to the outside, and the gradient value reaches 80℃ / m, which can indicate that the flame fluctuates or deviates. The first threshold is a lower limit set for the first average temperature value, which is used to determine whether the flame is low-temperature abnormal; the second threshold is an upper limit set for the temperature distribution gradient, which is used to identify the flame disturbance or deviation phenomenon, which can be set by experimental experience or historical data, such as setting the first threshold to 360℃ and the second threshold to 60℃ / m.

[0050] For example, after collecting the infrared image, the image processing algorithm automatically locks the nozzle region (preset attention region), extracts its temperature data and calculates the average temperature and gradient distribution. If the calculated average temperature is lower than 360℃ and / or the gradient exceeds 60℃ / m, the flame space state is automatically marked as abnormal, indicating that there may be an extinguishing or unstable burning problem, and the next step of logical judgment processing is prompted.

[0051] Through the implementation of the above embodiments, the average temperature value and temperature gradient of the attention region in the infrared image are extracted, which can realize sensitive detection of the morphological change and thermal distribution change of the flame. When the temperature is too low or the temperature distribution is abnormal (such as edge blur and loose shape), the flame state is quickly determined to be abnormal, which helps to discover abnormal fluctuations of the long-lasting fire in time and improves the flexibility and accuracy of flame recognition.

[0052] In some embodiments, the aforementioned preset temperature threshold values can include a first temperature threshold value and a second temperature threshold value; the aforementioned step 103 can include: extracting a second average temperature value and a temperature fluctuation amplitude of the preset area of interest within a preset time period from the second flame radiation characteristic parameter; when the second average temperature value is less than the first temperature threshold value, determining that the second flame spatial distribution state is an abnormal state; when the second average temperature value is greater than or equal to the first temperature threshold value and less than the second temperature threshold value, if the temperature fluctuation amplitude is greater than a preset amplitude threshold value, determining that the second flame spatial distribution state is an abnormal state; when the second average temperature value is greater than or equal to the first temperature threshold value and less than the second temperature threshold value, if the temperature fluctuation amplitude is less than or equal to the preset amplitude threshold value, determining that the second flame spatial distribution state is a normal state; and when the second average temperature value is greater than or equal to the second temperature threshold value, determining that the second flame spatial distribution state is a normal state.

[0053] In some examples, the first temperature threshold value is a lower threshold value for determining whether the flame is in a low-temperature abnormal state, and the second temperature threshold value is an upper temperature threshold value for further determining whether the flame has reached a stable combustion temperature. The preset time period is a fixed time window (such as 5 seconds, 10 seconds, etc.) defined in the analysis process, which can be used to collect temperature data and perform statistical processing (such as average value, fluctuation amplitude, etc.). The second average temperature value is an average temperature calculated from the temperature data obtained from the optical pyrometer in the preset area of interest and the preset time period, which is used to represent the overall level of the flame thermal state in that period of time. The temperature fluctuation amplitude is the variation amplitude of the temperature in the area within the preset time period, which can be measured by using the standard deviation or the maximum-minimum difference, reflecting whether the flame has unstable fluctuations. When the second average temperature value is less than the first temperature threshold value, it indicates that the flame intensity is obviously insufficient, and faults such as extinguishing and misfire may occur, and it is determined to be an abnormal state. When the second average temperature value is greater than or equal to the second temperature threshold value, the high-temperature stable combustion state is usually not worried about flame extinguishing, and it is determined to be a normal state.

[0054] For example, in each monitoring period (such as every 10 seconds), temperature values are continuously collected from the optical pyrometer, and statistical processing is performed on the data in the preset area of interest. If the average temperature value is less than 360°C, the flame is immediately determined to be abnormal; if it is between 360°C and 410°C, the temperature fluctuation amplitude is further analyzed to determine whether the flame is in stable combustion; and if it is higher than 410°C, the flame is automatically considered to be stable and reliable. This method combines the dual criteria of flame intensity and dynamic fluctuation, which can greatly improve the recognition accuracy of abnormal states such as flame extinguishing and virtual fire.

[0055] Through the implementation of the above-mentioned embodiments, the temperature data collected by the optical pyrometer is analyzed in a hierarchical and fine-grained manner. Not only whether the average temperature is lower than the lower threshold is considered, but also the fluctuation amplitude in the intermediate temperature interval is considered. The false judgment caused by transient fluctuation or measurement jitter can be effectively excluded. The stability is enhanced while the recognition sensitivity is ensured. The flame monitoring demand under high load working condition of the steel plant is met.

[0056] In some embodiments, the foregoing step 104 can include: when the first flame spatial distribution state and the second flame spatial distribution state are both abnormal states, generating a flame state judgment signal indicating that the flame is extinguished; when the first flame spatial distribution state and the second flame spatial distribution state are both normal states, generating a flame state judgment signal indicating that the flame is stably burning.

[0057] In some examples, when the first flame spatial distribution state and the second flame spatial distribution state are both abnormal states, it can be concluded with high confidence that the flame has been extinguished or is close to being extinguished, thereby generating a flame state judgment signal indicating that the flame is extinguished. The flame state judgment signal indicating that the flame is extinguished is a control / alarm signal generated after detecting double-source abnormalities. It is usually a Boolean value, a flag bit, or an event trigger signal, indicating that the flame has been extinguished or there is a risk of being extinguished. When the first flame spatial distribution state and the second flame spatial distribution state are both normal states, it is determined that the flame is in a stable burning state, thereby generating a flame state judgment signal indicating that the flame is stably burning. The flame state judgment signal indicating that the flame is stably burning is a judgment signal output under the premise that both sources are normal, indicating that the flame state is good, supporting the subsequent control system to maintain normal fuel supply and operation.

[0058] For example, in actual deployment, infrared thermal images and optical temperature data are collected every set time period (such as every second), and two flame spatial distribution states are calculated respectively. After logically summarizing the judgment results of the two, if they are both abnormal, a “flame extinguished” signal is generated and an alarm is triggered. If they are both normal, a “flame stable” signal is output for use by the main control system. If they are inconsistent, a “to be confirmed state” can be entered or re-detection can be requested, enhancing fault tolerance.

[0059] Through the implementation of the above-mentioned embodiments, whether the two monitoring means are consistent in abnormality is judged to generate an extinguishing signal. The logical mutual certification of multi-source sensing data is realized. Only when both dimensions indicate abnormality, an alarm is given. False positives caused by temporary shielding, jitter or failure of a sensor are avoided. The robustness of the method and the application reliability in industrial field can be improved.

[0060] In some embodiments, the aforementioned method for monitoring the permanent flame of the converter gas venting chimney may further include: when either the first flame spatial distribution state or the second flame spatial distribution state is in an abnormal state, acquiring a temperature signal from a fixed thermocouple; and generating a sensor fault alarm signal based on the comparison result of the temperature signal and a third temperature threshold, wherein the sensor fault alarm signal is a signal indicating that the sensor corresponding to the normal state has malfunctioned.

[0061] In some examples, a fixed thermocouple is a temperature sensor installed inside the converter gas venting chimney or near the flame zone. It directly measures the local actual temperature and can serve as a backup or redundant thermal detection method, featuring fast high-temperature response, simple structure, and high accuracy. The fixed thermocouple converts the actual temperature into a voltage signal, which is then converted into a temperature value by a data acquisition module such as a PLC or industrial data acquisition card. The temperature signal refers to the real-time temperature data output by the fixed thermocouple, which can be used as an independent verification method for the data from the aforementioned infrared thermal imager and optical pyrometer. The third temperature threshold is a reference lower temperature limit used to determine whether the infrared and optical detection are abnormal. It can be set empirically at the lowest reasonable temperature in the flame combustion zone, for example, between 300℃ and 400℃. When either the infrared or optical detection is abnormal, to avoid misjudgment, the thermocouple temperature is introduced as an auxiliary judgment. If the thermocouple temperature signal still shows a "normal" combustion state (i.e., above the third threshold), but any other sensor indicates an "abnormality," it may mean that the infrared or optical sensor itself has a problem. In this case, a "sensor fault alarm signal" is generated. The sensor fault alarm signal indicates that the sensor is faulty due to inconsistency with the flame stability state, which can trigger the maintenance system to intervene or switch to backup detection equipment.

[0062] For example, during a monitoring cycle, if the infrared thermal imager or optical pyrometer shows an abnormal flame condition, the temperature data from the thermocouple is immediately retrieved for cross-validation. If the thermocouple data shows that the flame still exists (temperature is normal), it can be assumed that the original infrared or optical signal may be a false alarm, thereby generating a sensor fault alarm signal to prompt manual inspection for issues such as whether the optical lens is blocked or whether the thermal imaging equipment is misaligned, thus improving the method's tolerance for misjudgment and overall reliability.

[0063] Through the implementation of the above embodiments, when only one type of sensor determines an anomaly, a fixed thermocouple is introduced as a redundant heat source sensing means for supplementary judgment. This can identify the functional failure or drift of a certain sensor, realize the fault self-checking and alarm capability of the sensor system, ensure the continuous and stable operation of the method, and improve the fault tolerance and adaptive capability of the overall monitoring system.

[0064] In some embodiments, the aforementioned step 105 can include: triggering a long-lasting fire abnormality alarm instruction when the flame state determination signal continuously indicates flame extinguishment for a preset time threshold; the converter gas emission stack long-lasting fire monitoring method can further include: in response to the long-lasting fire abnormality alarm instruction, activating a local audible and visual alarm device and starting an automatic ignition device to perform a flame rekindling operation.

[0065] In some examples, the state of the flame state determination signal can be continuously monitored, and when it continuously indicates an abnormal state for more than a preset time threshold, it is determined that the flame is indeed extinguished, rather than a transient fluctuation or sensor false alarm; for example, the flame state signal has been continuously abnormal for 12 seconds, and the preset time threshold is set to 10 seconds, i.e., the alarm condition is met. The preset time threshold is a minimum duration set to determine whether the flame is indeed extinguished, used to filter out short-term jitter, wind disturbance, and other false positive phenomena; the preset time threshold can be preset according to system requirements, such as 10 seconds, or dynamically adjusted according to the stack gas flow rate, working conditions, monitoring frequency, etc. When it is determined that the flame is extinguished for a long time, a control signal is sent to the control end to trigger a buzzer, a flashing light, and other audible and visual alarms installed on site to remind on-site personnel to intervene and handle. After the alarm is issued, the ignition device such as a high-pressure electronic ignition gun or a gas nozzle can be automatically or manually confirmed to start and attempt to rekindle the stack flame to prevent gas accumulation or safety accidents.

[0066] For example, when the flame state determination signal continuously maintains an abnormal state for 10 seconds, it is determined that the flame has actually been extinguished, and a long-lasting fire abnormality alarm instruction is immediately issued; then, the audible and visual alarm on site is automatically driven to start and prompt the operator to pay attention, and a start signal is sent to the automatic ignition module to perform a re-ignition action by the ignition gun to ensure that the stack flame is quickly restored and prevent gas diffusion and safety accidents.

[0067] Through the implementation of the above embodiments, the duration threshold of flame abnormality is set to avoid false alarms caused by short-term interference; at the same time, the linkage of audible and visual alarms and automatic ignition operation is supported to realize closed-loop control from abnormality detection to emergency response, which can reduce manual intervention, improve the timeliness and automation level of long-lasting fire rekindling response, and enhance the intrinsic safety of the gas emission system.

[0068] In some embodiments, the aforementioned preset time threshold is determined according to real-time environmental parameters, wherein the real-time environmental parameters can include precipitation, wind speed, and atmospheric transmittance.

[0069] In some examples, the duration threshold required for flame extinguishing determination can be optimized according to current environmental factors (such as rain, wind, visibility) to enhance the robustness and sensitivity of monitoring; for example, set the threshold to 10 seconds under normal weather, extend to 20 seconds when encountering strong wind (wind speed > 12 m / s) and low light transmittance (< 50%), to avoid false positives. Precipitation is the total amount of precipitation per unit time, which can be measured in millimeters (mm), and is used to determine whether it is raining or snowing and other weather that interferes with infrared / optical observation; precipitation can be obtained using a rain gauge sensor installed in the monitoring area, or obtained from a weather data interface (such as an industrial Internet of Things platform). The wind speed value is the real-time wind speed in the monitoring area, with units of meters per second (m / s), and strong winds can cause the flame to shift, flutter, or even temporarily extinguish; wind speed can be measured using a wind speed sensor (such as an ultrasonic anemometer), or boundary wind speed data can be obtained from a weather platform; for example, when the wind speed is 14 m / s (above level 5 wind), the flame can be significantly shaken, so the extinguishing determination threshold is extended to 15 seconds or more. Atmospheric light transmittance indicates the current air's ability to transmit light, which can be expressed as a percentage, and is a key environmental factor for evaluating the effectiveness of optical pyrometers and infrared thermal imagers; atmospheric light transmittance can be measured using an atmospheric visibility meter or a light transmittance sensor, and the lower the value, the greater the impact of fog, rain, and snow; for example, a light transmittance of < 40% indicates smog or heavy fog, which requires an extended time threshold to prevent false extinguishing.

[0070] For example, during operation, real-time environmental data is collected, such as a wind speed of 12.5 m / s, a precipitation of 3 mm / h, and an atmospheric light transmittance of 45%. According to the configured rule table, there is a risk of image interference and unstable flame under such weather conditions, so the original flame extinguishing determination time threshold is automatically adjusted from 10 seconds to 18 seconds; in this way, even if there is a short image loss or flame fluctuation, an alarm will not be falsely triggered, effectively improving the reliability and environmental adaptability of the monitoring.

[0071] By implementing the above embodiments, the abnormality determination time is adjusted according to real-time weather conditions such as wind speed, precipitation, and atmospheric light transmittance, improving the adaptability of the method in harsh environments, avoiding premature false positives due to rain and fog affecting thermal imaging, and enhancing the intelligence level of the method to improve the accuracy and robustness of the method in different weather conditions.

[0072] In some embodiments, the infrared thermal imager is deployed on the ground 30-100 meters away from the chimney body; the optical pyrometer is coaxially installed with the infrared thermal imager on the explosion-proof gimbal device, and the fixed thermocouple is arranged in the flame area at the top of the chimney.

[0073] In some examples, infrared thermal imagers need to be installed at a distance of 30 to 100 meters from the monitored chimney, at a horizontal or slightly elevated position, ensuring coverage of the entire chimney flame area while avoiding high-temperature and equipment interference zones. For instance, a tripod platform 50 meters south of a converter gas chimney might be used to mount an infrared thermal imager, with the viewpoint aimed at the top of the chimney's embers, balancing image clarity with equipment safety. Explosion-proof pan-tilt units are explosion-proof mounting platforms with remotely controllable rotation and elevation. They can safely mount infrared thermal imagers and optical pyrometers in flammable and explosive industrial environments, providing flexible viewing angle adjustments. The flame area at the top of the chimney is where the embers at the top of the gas venting chimney burn normally; it is the area where the flames are visible and a key target area for monitoring the flame status.

[0074] Through the implementation of the above embodiments, the infrared thermal imager and the optical pyrometer are coaxially mounted on an explosion-proof gimbal and deployed in a safe area around the chimney, which can obtain a stable observation angle and has high temperature resistance and explosion resistance, ensuring long-term stable operation in high-risk steel smelting sites; the top thermocouple layout further enhances the measurement coverage and provides real-time feedback of the high-temperature core area for the method, which can improve the overall monitoring accuracy and deployment rationality.

[0075] Furthermore, as an implementation of the aforementioned method embodiments, this application also provides a converter gas venting chimney long-burning flame monitoring device for implementing the aforementioned method embodiments. This device embodiment corresponds to the aforementioned method embodiments. For ease of reading, this converter gas venting chimney long-burning flame monitoring device embodiment will not repeat the details of the aforementioned method embodiments one by one, but it should be clear that the device in this application embodiment can correspondingly implement all the contents of the aforementioned method embodiments. For example... Figure 2 As shown, the converter gas venting chimney smoldering fire monitoring device 20 includes: a data acquisition unit 201, a first state determination unit 202, a second state determination unit 203, a judgment signal generation unit 204, and an alarm command generation unit 205. The data acquisition unit 201 acquires first flame radiation characteristic parameters from an infrared thermal imager and second flame radiation characteristic parameters from an optical pyrometer. The first state determination unit 202 determines the first flame spatial distribution state based on the first flame radiation characteristic parameters. The second state determination unit 203 determines the second flame spatial distribution state based on the comparison result between the second flame radiation characteristic parameters and a preset temperature threshold. The judgment signal generation unit 204 cross-verifies the first and second flame spatial distribution states to generate a flame state judgment signal. The alarm command generation unit 205 triggers an abnormal smoldering fire alarm command when the flame state judgment signal indicates that the flame is extinguished.

[0076] In some embodiments, the first state determining unit 202 is further configured to extract a first average temperature value and a temperature distribution gradient of the preset attention region from the first flame radiation characteristic parameter; and determine that the first flame spatial distribution state is an abnormal state when the first average temperature value is less than a first threshold value and / or the temperature distribution gradient is greater than a second threshold value.

[0077] In some embodiments, the preset temperature threshold value includes a first temperature threshold value and a second temperature threshold value; the second state determining unit 203 is further configured to extract a second average temperature value and a temperature fluctuation amplitude of the preset attention region within a preset time period from the second flame radiation characteristic parameter; determine that the second flame spatial distribution state is an abnormal state when the second average temperature value is less than the first temperature threshold value; determine that the second flame spatial distribution state is an abnormal state when the second average temperature value is greater than or equal to the first temperature threshold value and less than the second temperature threshold value, and the temperature fluctuation amplitude is greater than a preset amplitude threshold value; determine that the second flame spatial distribution state is a normal state when the second average temperature value is greater than or equal to the first temperature threshold value and less than the second temperature threshold value, and the temperature fluctuation amplitude is less than or equal to the preset amplitude threshold value; and determine that the second flame spatial distribution state is a normal state when the second average temperature value is greater than or equal to the second temperature threshold value.

[0078] In some embodiments, the determination signal generating unit 204 is further configured to generate a flame state determination signal indicating that the flame is extinguished when both the first flame spatial distribution state and the second flame spatial distribution state are abnormal states; and generate a flame state determination signal indicating that the flame is stably burning when both the first flame spatial distribution state and the second flame spatial distribution state are normal states.

[0079] In some embodiments, the converter gas diffusing chimney permanent flame monitoring device 20 further includes a data verification unit configured to acquire a temperature signal from the fixed thermocouple when any one of the first flame spatial distribution state and the second flame spatial distribution state is an abnormal state; and generate a sensor fault alarm signal based on a comparison result of the temperature signal and a third temperature threshold value, wherein the sensor fault alarm signal is a signal indicating that a sensor corresponding to a normal state has failed.

[0080] In some embodiments, the alarm instruction generating unit 205 is further configured to trigger a permanent flame abnormality alarm instruction when the flame state determination signal continuously indicates that the flame is extinguished for a preset time threshold value; and the converter gas diffusing chimney permanent flame monitoring device 20 further includes an ignition unit configured to activate a local sound and light alarm device and start an automatic ignition device to perform a flame relighting operation in response to the permanent flame abnormality alarm instruction.

[0081] In some embodiments, the preset time threshold value is determined according to real-time environmental parameters, wherein the real-time environmental parameters include precipitation, wind speed value, and atmospheric transmittance.

[0082] In some embodiments, the infrared thermal imager is deployed on the ground area 30-100 meters away from the chimney body; the optical pyrometer is coaxially installed with the infrared thermal imager on the explosion-proof pan-tilt device, and the fixed thermocouple is arranged at the flame area of the top of the chimney.

[0083] The application further provides a computer readable storage medium, in which computer executable instructions or computer programs are stored, and when the computer executable instructions or computer programs are executed by a processor, the processor will execute any step of the converter gas diffusion chimney eternal fire monitoring method provided by the application.

[0084] In some embodiments, the computer readable storage medium can be a random access memory (RAM), a read-only memory (ROM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM) and the like memory; or can be various devices including one or any combination of the above memories.

[0085] In some embodiments, the computer executable instructions can be in the form of programs, software, software modules, scripts or codes, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and can be deployed in any form, including being deployed as independent programs or being deployed as modules, components, subroutines or other units suitable for use in a computing environment.

[0086] In some embodiments, the computer executable instructions can but not necessarily correspond to files in a file system, can be stored in a part of a file storing other programs or data, for example, stored in one or more scripts in a HyperText Markup Language (HTML) document, stored in a single file dedicated to the program in question, or stored in multiple cooperative files (for example, files storing one or more modules, subroutines or code parts).

[0087] In some embodiments, the computer executable instructions can be deployed to execute on one electronic device, or on multiple electronic devices located at one site, or on multiple electronic devices distributed at multiple sites and interconnected through a communication network.

[0088] As Figure 3As shown, the present application also provides an electronic device 30, comprising a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor, wherein the processor 320 implements any step of the converter gas emission stack eternal fire monitoring method described above when executing the computer program 311.

[0089] The present application also provides a computer program product, comprising a computer program or computer executable instructions stored in a computer readable storage medium. The processor of the electronic device reads the computer program or computer executable instructions from the computer readable storage medium, and the processor executes the computer program or computer executable instructions, so that the electronic device executes any step of the converter gas emission stack eternal fire monitoring method described above.

[0090] The above embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements for some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of monitoring a BFG flare in a BFG flare stack, characterized in that, The method comprises: acquiring a first flame radiation characteristic parameter from an infrared thermal imager and a second flame radiation characteristic parameter from an optical pyrometer; determining a first flame spatial distribution state based on the first flame radiation characteristic parameter; determining a second flame spatial distribution state based on a comparison result of the second flame radiation characteristic parameter and a preset temperature threshold value; cross-verifying the first flame spatial distribution state and the second flame spatial distribution state to generate a flame state determination signal; when the flame state determination signal indicates that the flame is extinguished, triggering an eternal fire abnormality alarm instruction.

2. The method of monitoring a BFG flare in a BFG flare stack according to claim 1, characterized in that, The method further comprises: extracting a first average temperature value and a temperature distribution gradient of a preset attention region from the first flame radiation characteristic parameter; when the first average temperature value is less than a first threshold value and / or the temperature distribution gradient is greater than a second threshold value, determining that the first flame spatial distribution state is an abnormal state.

3. The method of monitoring a BFG flare in a BFG flare stack of claim 1, wherein, The preset temperature threshold value comprises a first temperature threshold value and a second temperature threshold value; the method further comprises: extracting a second average temperature value and a temperature fluctuation amplitude of a preset attention region within a preset time period from the second flame radiation characteristic parameter; when the second average temperature value is less than the first temperature threshold value, determining that the second flame spatial distribution state is an abnormal state; when the second average temperature value is greater than or equal to the first temperature threshold value and less than the second temperature threshold value, if the temperature fluctuation amplitude is greater than a preset amplitude threshold value, determining that the second flame spatial distribution state is an abnormal state; when the second average temperature value is greater than or equal to the first temperature threshold value and less than the second temperature threshold value, if the temperature fluctuation amplitude is less than or equal to a preset amplitude threshold value, determining that the second flame spatial distribution state is a normal state; when the second average temperature value is greater than or equal to the second temperature threshold value, determining that the second flame spatial distribution state is a normal state.

4. The method of monitoring a BFG flare in a BFG flare stack of claim 1, wherein, The method further comprises: when the first flame spatial distribution state and the second flame spatial distribution state are both abnormal states, generating a flame state determination signal indicating that the flame is extinguished; when the first flame spatial distribution state and the second flame spatial distribution state are both normal states, generating a flame state determination signal indicating that the flame is stably burning.

5. The method of monitoring a BFG flare in a BFG flare stack of claim 4, wherein, The method further comprises: when either the first flame spatial distribution state or the second flame spatial distribution state is an abnormal state, acquiring a temperature signal from a fixed thermocouple; based on a comparison result of the temperature signal and a third temperature threshold value, generating a sensor fault alarm signal, wherein the sensor fault alarm signal is a signal indicating that a sensor corresponding to a normal state has failed.

6. The method of monitoring a BFG flare in a BFG flare stack of claim 1, wherein, The method further comprises: When the flame state determination signal continuously indicates flame extinguishment for a preset time threshold, the long-lasting fire abnormal alarm instruction is triggered; The converter gas emission stack long-lasting fire monitoring method further comprises: In response to the long-lasting fire abnormal alarm instruction, a field sound and light alarm device is activated and an automatic ignition device is started to perform a flame rekindling operation.

7. The method of monitoring a long-lasting flame of a BFG flare stack according to claim 6, characterized in that, The preset time threshold is determined according to real-time environmental parameters, wherein the real-time environmental parameters include precipitation, wind speed value and atmospheric light transmittance.

8. A BFG flare stack pilot flame monitoring device, characterized in that, Comprise: A data acquisition unit is configured to acquire a first flame radiation characteristic parameter from an infrared thermal imager and a second flame radiation characteristic parameter from an optical pyrometer; A first state determination unit is configured to determine a first flame spatial distribution state based on the first flame radiation characteristic parameter; A second state determination unit is configured to determine a second flame spatial distribution state based on a comparison result of the second flame radiation characteristic parameter and a preset temperature threshold; A determination signal generation unit is configured to cross-verify the first flame spatial distribution state and the second flame spatial distribution state to generate a flame state determination signal; An alarm instruction generation unit is configured to trigger a long-lasting fire abnormal alarm instruction when the flame state determination signal indicates flame extinguishment.

9. An electronic device comprising: A memory and a processor, wherein the processor is configured to implement the steps of the converter gas emission stack long-lasting fire monitoring method according to any one of claims 1-7 when executing a computer program stored in the memory.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the converter gas emission stack long-lasting fire monitoring method according to any one of claims 1-7.

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