LF furnace steel ladle air permeability automatic measurement method and system based on visual technology

Abstract

The invention provides an LF furnace steel ladle air permeability automatic measurement method and system based on the visual technology, and the method comprises the steps: obtaining photosensitive sensor data and argon blowing flow pressure data, and calculating an argon blowing photosensitive equivalent value based on the photosensitive sensor data; and calculating an argon blowing flow accumulated value based on the argon blowing flow pressure data, and inputting the argon blowing photosensitive equivalent value and the argon blowing flow accumulated value into a ventilation model to output an argon blowing ventilation equivalent value. According to the method, photosensitive sensor data and argon blowing flow pressure data are automatically collected, an argon blowing photosensitive equivalent value and an argon blowing flow accumulated value are calculated, and finally an argon blowing ventilation equivalent value is output through a ventilation model, so that full-automatic quantitative measurement of the air permeability of the steel ladle is realized.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of air permeability measurement, and in particular to an LF ladle air permeability automatic measurement method and system based on visual technology. BACKGROUND

[0002] As a device for secondary refining of molten steel in steel smelting, the LF (Ladle Furnace) is used for removing impurities through argon blowing in the desulfurization link in the refining process. The ladle air permeability is affected by material quality and use state during the argon blowing process, and the actual effect fluctuates significantly under the standardized pressure and flow parameters. In order to optimize the process control precision and ensure the stability of the desulfurization efficiency, an objective method for quantifying the air permeability can be used.

[0003] In the evaluation of the ladle air permeability, the operator estimates by visually observing the argon blowing phenomenon, and the judgment of the blowing situation is directly feasible.

[0004] However, the normal blowing is only dependent on the experience-based qualitative analysis, and standard data output cannot be generated, resulting in an increased risk of splashing when the air permeability is good, and frequent crust formation when the air permeability is poor. SUMMARY

[0005] The application provides an LF ladle air permeability automatic measurement method and system based on visual technology to solve the problem of increased risk of splashing when the air permeability is good and frequent crust formation when the air permeability is poor.

[0006] In a first aspect, the application provides an LF ladle air permeability automatic measurement method based on visual technology, comprising: obtaining photosensitive sensor data and argon blowing flow pressure data; calculating an argon blowing photosensitive equivalent value based on the photosensitive sensor data; calculating an argon blowing flow cumulative value based on the argon blowing flow pressure data; inputting the argon blowing photosensitive equivalent value and the argon blowing flow cumulative value into an air permeability model to output an argon blowing air permeability equivalent value.

[0007] In some feasible embodiments, the obtaining of the photosensitive sensor data and the argon blowing flow pressure data comprises: in response to the completion of the unhooking, setting the argon blowing flow to a preset flow value; starting the photosensitive sensor and the flow pressure sensor to collect the photosensitive sensor data and the argon blowing flow pressure data.

[0008] In some feasible embodiments, the obtaining of the photosensitive sensor data and the argon blowing flow pressure data further comprises: acquiring a starting time length of the photosensitive sensor data and the argon blowing flow pressure data in response to starting of the photosensitive sensor and the flow pressure sensor; setting a preset time length; collecting the photosensitive sensor data and the argon blowing flow pressure data when the starting time length is greater than or equal to the preset time length.

[0009] In some possible embodiments, the calculating the argon blowing photosensitive equivalent value based on the photosensitive sensor data comprises: extracting values of all sampling points from the photosensitive sensor data; calculating a sum of squares of the values of all the sampling points to calculate a square root value of the sum of squares; obtaining the argon blowing photosensitive equivalent value based on the square root value, the argon blowing photosensitive equivalent value being a quotient of the square root value and a total number of the sampling points.

[0010] In some possible embodiments, the calculating the argon blowing flow cumulative value based on the argon blowing flow pressure data comprises: extracting flow values of all sampling points from the argon blowing flow pressure data; calculating a sum of squares of the flow values of all the sampling points to calculate a square root value of the sum of squares; obtaining the argon blowing flow cumulative value based on the square root value, the argon blowing flow cumulative value being a quotient of the square root value and a total number of the sampling points.

[0011] In some possible embodiments, the inputting the argon blowing photosensitive equivalent value and the argon blowing flow cumulative value into the permeation model to output an argon blowing permeation equivalent value comprises: performing square calculation on the argon blowing photosensitive equivalent value to obtain a first intermediate value; multiplying the argon blowing photosensitive equivalent value by a fixed coefficient to obtain a second intermediate value; adding the first intermediate value, the second intermediate value, and a first constant term to obtain a numerator term; multiplying the argon blowing flow cumulative value by a fixed coefficient to obtain a denominator term; dividing the numerator term by the denominator term to obtain a third intermediate value; subtracting a second constant term from the third intermediate value to obtain the argon blowing permeation equivalent value.

[0012] In some possible embodiments, the method further comprises: presetting an effective range; determining the argon blowing permeation equivalent value when the argon blowing permeation equivalent value is in the effective range; generating a sensor fault detection signal when the argon blowing permeation equivalent value is out of the effective range.

[0013] In some possible embodiments, after the generating the sensor fault detection signal, further comprising: In response to generating the sensor fault detection signal, detecting the photosensitive sensor and the flow pressure sensor.

[0014] In a second aspect, the present application provides a LF ladle permeability automatic measurement system based on visual technology, which is used to execute the LF ladle permeability automatic measurement method based on visual technology in the first aspect, and comprises: A photosensitive signal sensor is configured to collect photosensitive sensor data. A flow pressure sensor is configured to collect argon blowing flow pressure data. An acquisition module is configured to acquire the photosensitive sensor data and the argon blowing flow pressure data. A first calculation module is configured to calculate an argon blowing photosensitive equivalent value based on the photosensitive sensor data. A second calculation module is configured to calculate an argon blowing flow cumulative value based on the argon blowing flow pressure data. A permeability model is configured to receive the argon blowing photosensitive equivalent value and the argon blowing flow cumulative value to output an argon blowing permeability equivalent value.

[0015] In some possible embodiments, the photosensitive signal sensor is arranged above the side of the LF ladle sitting position.

[0016] According to the above technical solution, the present application provides a LF ladle permeability automatic measurement method and system based on visual technology. The method comprises the following steps: acquiring photosensitive sensor data and argon blowing flow pressure data, calculating an argon blowing photosensitive equivalent value based on the photosensitive sensor data, calculating an argon blowing flow cumulative value based on the argon blowing flow pressure data, and inputting the argon blowing photosensitive equivalent value and the argon blowing flow cumulative value into a permeability model to output an argon blowing permeability equivalent value. The method realizes full-automatic quantitative measurement of the ladle permeability by automatically collecting photosensitive sensor data and argon blowing flow pressure data, calculating an argon blowing photosensitive equivalent value and an argon blowing flow cumulative value, and finally outputting an argon blowing permeability equivalent value through the permeability model. When the permeability is good, the argon blowing permeability equivalent value is low, and the anti-splashing measure can be triggered in time to avoid the production safety hazard caused by molten steel splashing. When the permeability is poor, the argon blowing permeability equivalent value is high, and the argon blowing flow can be increased to prevent the molten steel crust and ensure the continuity of the smelting process. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the present application, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, other drawings can also be obtained by those skilled in the art without any creative effort.

[0018] Figure 1 A flowchart of the LF ladle permeability automatic measurement method based on visual technology provided by the embodiment of the present application is shown in the figure; Figure 2 A schematic diagram of the position of the photosensitive signal sensor provided by the embodiment of the present application is shown in the figure; Figure 3 A flowchart of the process after obtaining the argon blowing permeability equivalent value provided by the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0019] The embodiments will be described in detail below with reference to the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following embodiments do not represent all the embodiments consistent with the present application. They are only examples of systems and methods consistent with some aspects of the present application as described in detail in the claims.

[0020] The application scenarios of the embodiment of the present application focus on the refining link in the steel smelting field, involving the production process of the LF ladle refining furnace, which is a device for further processing of the molten steel after the initial refining of the electric furnace or converter. Its main functions include adjusting the temperature of the molten steel, uniforming the composition of the molten steel, and deeply removing harmful impurities such as sulfur and oxygen in the molten steel.

[0021] In this refining process, argon blowing is a crucial process. Argon blowing is blowing inert gas argon into the molten steel through the permeable brick installed at the bottom of the ladle. Argon gas rises from the bottom of the ladle in the form of bubbles. In the rising process, it can drive the molten steel to flow, playing a role of stirring the molten steel. This stirring effect makes the temperature and composition of the molten steel more uniform, and creates favorable conditions for the floating and removal of harmful impurities.

[0022] The permeability of the ladle is the core parameter affecting the argon blowing effect. The permeability reflects the difficulty of gas passing through the permeable brick at the bottom of the ladle. Poor permeability of the ladle means that the resistance of gas passing through the permeable brick is large, and argon gas is difficult to enter the molten steel smoothly, which is usually due to the blockage or erosion of the permeable brick during use.

[0023] When the permeability is poor, the argon gas blown in cannot form uniform and fine bubble flow, which may cause unstable gas flow or concentration in local areas. This insufficient stirring makes it difficult for the heat and composition in the molten steel to be uniform, and harmful impurities cannot be effectively floated to the slag layer for removal, thereby affecting the purity of the final molten steel.

[0024] On the contrary, the ladle with good permeability is not problem-free, but it is easy to cause splashing. Good permeability means that the gas channel is unobstructed, and under the same argon blowing pressure, argon can quickly and massively flow into the molten steel. These argon bubbles rapidly rise, expand and burst in the molten steel, which will generate a large amount of kinetic energy. When a large number of bubbles burst at the same time near the surface of the molten steel, the energy carried by the bubbles is enough to throw the molten steel droplets or even a small stream of molten steel out of the ladle, which is called splashing. Splashing not only causes loss of molten steel, but more dangerously, the splashed high-temperature molten steel will adhere to the ladle shell, the ladle belt and the ladle cover, forming hard steel slag, which affects the normal operation of the equipment and brings safety hazards.

[0025] For the ladle with poor permeability, crust is easy to form during production. Poor permeability leads to insufficient argon flow or unstable gas flow, which weakens the stirring force of the molten steel. The temperature of the molten steel will naturally decrease during the refining process. If the stirring is not sufficient, the temperature gradient in the molten steel will increase, and the surface molten steel will solidify first due to faster heat dissipation. At the same time, tiny metal particles and oxides also suspend in the molten steel due to lack of sufficient upward force. These factors together can easily form a layer of semi-solid, viscous structure containing more inclusions on the surface of the molten steel, which is called crust. Crust will hinder the subsequent alloy addition and slag-metal reaction, and in severe cases, the smelting process needs to be terminated for treatment, which seriously affects the production efficiency and the quality of the molten steel.

[0026] Therefore, accurate judgment and quantification of the ladle permeability is the key to stable control of the LF furnace refining process. The traditional visual estimation method highly depends on the personal experience of the operator, and cannot give a stable and consistent quantitative evaluation of the normal argon blowing effect, which makes the production process uncertain and potentially risky.

[0027] Some embodiments of the present application provide a LF ladle permeability automatic measurement method based on visual technology, as shown in Figure 1 The method comprises the following steps: S100: acquiring photosensitive sensor data and argon blowing flow pressure data.

[0028] The photosensitive sensor data is the original information collected by the photosensitive signal sensor reflecting the change of the light signal during the argon blowing process of the ladle. The photosensitive sensor data is used to characterize the light intensity fluctuation of the molten steel surface caused by the argon bubble turbulence during the argon blowing. In some embodiments, the photosensitive signal sensor is arranged above the side of the LF ladle ladle sitting position.

[0029] As shown in Figure 2As shown, two photosensitive signal sensors are arranged above the sides of the LF ladle tundish position. By arranging above the sides, the sensors can directly observe the fluctuation of the liquid steel surface caused by argon blowing. When argon bubbles break during argon blowing, light and shadow changes will occur, and the side-up perspective can capture the complete picture. At the same time, the side-up position avoids the high-temperature radiation area directly above the ladle. The temperature of the molten steel in the ladle exceeds 1500°C, and the direct overhead heat radiation can easily damage the sensor elements.

[0030] In addition, the side-up position is in a relatively stable area of indoor air flow, which can reduce dust adhesion. The metal dust and smoke generated during the smelting process mainly diffuses upward, and the side position is less affected. The setting position also considers the convenience of maintenance. The sensor is installed near the platform accessible to personnel, which is convenient for daily cleaning and maintenance. Through this optimized arrangement, the photosensitive signal sensor ensures long-term stable operation and provides high-quality input data for the system.

[0031] The photosensitive signal sensor converts the light signal into an electrical signal output. The structure of the photosensitive sensor data includes a series of voltage or current values sampled over time, and each sampling point corresponds to a light intensity measurement at a specific time.

[0032] The argon blowing flow pressure data is the original information of the argon flow and pressure collected by the flow pressure sensor during the argon blowing process. The argon blowing flow pressure data is used to quantify the process parameters of the argon blowing operation, and its acquisition depends on the flow meter and pressure sensor connected to the argon blowing pipeline. These sensors monitor the flow state of argon in real time. The structure of the argon blowing flow pressure data includes flow values and pressure values, which are usually recorded in digital signal form, and each sampling point contains the measurement values of flow and pressure.

[0033] In some embodiments, the acquisition of photosensitive sensor data and argon blowing flow pressure data includes: In response to the completion of the unhooking, set the argon blowing flow to a preset flow value; Start the photosensitive sensor and the flow pressure sensor to collect photosensitive sensor data and argon blowing flow pressure data.

[0034] The unhooking completion is the operation state of the ladle after being lifted by the hoisting device to the LF furnace refining station, and the hook of the hoisting device is separated from the lifting lug of the ladle. The unhooking completion indicates that the ladle has been positioned and is in a stable state. The unhooking completion state is detected by a position sensor or a limit switch, and its signal is transmitted to the control system. The unhooking completion serves as a trigger condition for data acquisition, which can ensure that the measurement process starts at a fixed station and ensures the consistency of the data.

[0035] For example, after the ladle is lifted by the crane to the LF furnace ladle position, the operator issues an unhooking command through the console, the crane hook is separated from the ladle lifting lug, the separation action triggers the limit switch, generates an unhooking completion signal, the signal is transmitted to the main control system, the unhooking completion indicates that the ladle has been positioned, and the refining operation can be started. At this time, starting the measurement can ensure that the ladle is in the standard position and avoid changes in the observation angle due to position movement.

[0036] In response to the unhooking completion signal, the control system immediately issues an instruction to the flow regulating valve to set the argon blowing flow to a preset flow value, which is pre-set in the system parameters. The selection of this value needs to ensure that the argon can penetrate the molten steel to form a visible boiling effect, and at the same time, it will not cause severe spattering due to excessive flow. For example, the preset flow value is 2000 liters / min.

[0037] After receiving the instruction, the flow regulating valve automatically adjusts the opening degree to quickly and stably regulate the argon flow to the preset value. The purpose of setting the preset flow value is to unify the measurement reference, because different initial flows will lead to differences in argon blowing patterns. Only by fixing the initial conditions can the measurement results between different heats be comparable.

[0038] After the argon blowing flow is stabilized, the photosensitive sensor and the flow pressure sensor are started, the photosensitive sensor starts to collect the light intensity data of the ladle opening area at a fixed frequency, and the flow pressure sensor synchronously records the flow and pressure readings of the argon pipeline. After the sensor is started, it enters a continuous working mode, converts the collected analog signals into digital signals, and buffers them in the memory.

[0039] In some embodiments, the obtaining of the photosensitive sensor data and the argon blowing flow pressure data further comprises: In response to the start of the photosensitive sensor and the flow pressure sensor, obtaining the start duration of the photosensitive sensor data and the argon blowing flow pressure data; setting a preset duration; when the start duration is greater than or equal to the preset duration, collecting the photosensitive sensor data and the argon blowing flow pressure data.

[0040] After the sensor is started, the timing function is activated, and the start duration is started. The calculation of the start duration is based on the hardware clock, and the clock pulses are accumulated by the counter, and the result is updated in real time as a time value. At the same time, the preset duration is read from the configuration parameters, which is a fixed value, for example, 40s, which represents the typical time from the start of the sensor to the stable output.

[0041] The start-up duration is continuously compared with the preset duration. When the start-up duration is greater than or equal to the preset duration, it is determined that the sensor has entered a stable working state, at which time a data acquisition instruction is triggered. The data acquisition process includes reading the photosensitive sensor data and the argon blowing flow pressure data from the sensor interface and storing the data in a buffer.

[0042] For example, the preset duration is set to 40s. After receiving the start-up instruction, the photosensitive sensor and the flow pressure sensor start working. The timer starts recording the start-up duration from zero. When the start-up duration reaches 40s, the comparison result meets the condition, the data acquisition module is started, and the sampling is performed at a fixed frequency, for example, once per second, to continuously record the photosensitive and flow pressure values. In this way, the data acquisition starts from the 40s, avoiding the signal fluctuation stage in the initial 39s of the start-up. This design can ensure that the calculated argon blowing photosensitive equivalent value and the argon blowing flow cumulative value are based on stable data, thereby improving the measurement accuracy.

[0043] By obtaining the start-up duration in response to the sensor start-up and setting the preset duration as a trigger threshold, the data is acquired when the start-up duration meets the condition. This method can effectively eliminate the influence of signal instability in the initial working stage of the sensor on the measurement result.

[0044] S200: Calculate the argon blowing photosensitive equivalent value based on the photosensitive sensor data.

[0045] The argon blowing photosensitive equivalent value is a quantitative index calculated based on the photosensitive sensor data, which is used to comprehensively evaluate the visual activity of the argon blowing. The argon blowing photosensitive equivalent value is obtained by mathematical processing of the photosensitive sensor data, and a scalar value representing the overall intensity of the light signal is obtained.

[0046] In the calculation, the values of all sampling points are extracted from the photosensitive sensor data, which represent the light intensity at different times. Then, the sum of squares of all sampling point values is calculated, and the square root value of the sum of squares is calculated. Finally, the square root value is divided by the total number of sampling points to obtain the argon blowing photosensitive equivalent value. This calculation process uses the root mean square method, which can effectively smooth random fluctuations and highlight the overall signal trend. The argon blowing photosensitive equivalent value is important because it condenses dynamic visual information into a stable feature, which is convenient for model processing.

[0047] Specifically, in some embodiments, the calculation of the argon blowing photosensitive equivalent value based on the photosensitive sensor data includes: extracting the values of all sampling points from the photosensitive sensor data; calculating the sum of squares of all sampling point values to calculate the square root value of the sum of squares; obtaining the argon blowing photosensitive equivalent value based on the square root value, wherein the argon blowing photosensitive equivalent value is the quotient of the square root value and the total number of sampling points.

[0048] A sampling point is a single measurement value in the time sequence of photosensitive sensor data stream. Each sampling point represents the light intensity value collected by the photosensitive sensor at a specific time, which is proportional to the reflected light intensity of the liquid steel surface.

[0049] The photosensitive equivalent value of argon blowing is calculated by the following formula: ; Wherein, is the photosensitive sensor data.

[0050] The square sum calculation traverses each sampling point, multiplies its value by itself, and adds it to a total sum variable to amplify the fluctuation component in the signal while eliminating the negative value. The square root value calculation uses a numerical algorithm to take the square sum as input and output its arithmetic square root to restore the amplified signal amplitude to a reasonable magnitude while maintaining the relative intensity relationship of the signal.

[0051] The photosensitive equivalent value of argon blowing is calculated by dividing the square root value by the number of sampling points to obtain the average signal intensity per sampling point. The role of the photosensitive equivalent value of argon blowing is to normalize the signal intensity, eliminate the deviation caused by different sampling lengths, and make the data of different batches comparable. Through mathematical transformation to enhance the signal characteristics and realize data normalization, a standardized input is provided for the permeation model.

[0052] S300: Calculate the argon blowing flow cumulative value based on the argon blowing flow pressure data.

[0053] The argon blowing flow cumulative value is a quantitative index calculated based on the argon blowing flow pressure data, used to evaluate the cumulative effect of the argon blowing flow. The argon blowing flow cumulative value is obtained by mathematical processing of the flow value, resulting in a scalar value representing the overall level of the flow.

[0054] During calculation, the flow values of all sampling points are extracted from the argon blowing flow pressure data, and the pressure values are ignored to simplify the model. Then, the square sum of all flow values is calculated, and the square root value of the square sum is calculated. Finally, the square root value is divided by the total number of sampling points to obtain the argon blowing flow cumulative value. This calculation is symmetrical with the photosensitive equivalent value calculation, ensuring that the two input parameters are comparable in magnitude. The role of the argon blowing flow cumulative value is to normalize the flow data and eliminate the influence of time span.

[0055] Specifically, in some embodiments, the calculation of the argon blowing flow cumulative value based on the argon blowing flow pressure data includes: extracting the flow values of all sampling points from the argon blowing flow pressure data; calculating the square sum of all flow values to calculate the square root value of the square sum; Based on the square root value, the argon blowing flow cumulative value is obtained, which is the quotient of the square root value and the total number of sampling points.

[0056] The argon blowing flow cumulative value is calculated by the following formula: ; Wherein, is the argon blowing flow pressure data.

[0057] The calculation process traverses each sampling point, and the flow value is squared and added to the total variable. The square sum enhances the significance of the main flow characteristics and smooths accidental fluctuations. The square root value of the square sum is calculated. The square root value is solved by a numerical algorithm to restore the enhanced flow intensity to the physical dimension. Finally, the argon blowing flow cumulative value is obtained based on the square root value, that is, the square root value is divided by the total number of sampling points. The division operation realizes data standardization, so that the measurement results of different lengths are comparable. The final argon blowing flow cumulative value represents the average flow intensity and reflects the overall level of argon blowing operation.

[0058] For example, assuming that 40 sampling points of flow data are collected, the numerical value represents the flow value at different times. When calculating the square sum, each flow value is squared and added. Assuming that the square sum is 640,000, the square root value is 800, and finally the square root value is divided by the total number of sampling points 40 to obtain the argon blowing flow cumulative value of 20. This value can be directly compared with the data of different heats, and the numerical value reflects the difference in argon blowing intensity. Through this calculation method, real-time flow data is converted into a standard characteristic quantity to provide reliable input parameters for the permeation model.

[0059] S400: inputting the argon blowing photosensitive equivalent value and the argon blowing flow cumulative value into the permeation model to output an argon blowing permeation equivalent value.

[0060] The permeation model is a mathematical calculation model for outputting an argon blowing permeation equivalent value according to the argon blowing photosensitive equivalent value and the argon blowing flow cumulative value. The permeation model associates the input parameters through a specific formula. The role of the permeation model is to establish a quantitative relationship between the light signal and the flow data and the ladle permeability.

[0061] The argon blowing permeation equivalent value is the final result output by the permeation model and is used to directly represent the permeability state of the ladle. The argon blowing permeation equivalent value is a numerical index, and its range can distinguish good and bad permeability. A lower numerical value indicates better permeability, and a higher numerical value indicates poorer permeability. The role of the argon blowing permeation equivalent value is to provide objective measurement results for the operator, replacing subjective visual judgment.

[0062] The permeation model captures the interactive effect of the light signal and the flow through nonlinear combination. Specifically, in some embodiments, the inputting the argon blowing photosensitive equivalent value and the argon blowing flow cumulative value into the permeation model to output an argon blowing permeation equivalent value includes: square the argon blowing photosensitive equivalent value to obtain a first intermediate value; multiply the argon blowing photosensitive equivalent value by a fixed coefficient to obtain a second intermediate value; add the first intermediate value, the second intermediate value and a first constant term to obtain a numerator term; multiply the argon blowing flow accumulation value by a fixed coefficient to obtain a denominator term; divide the numerator term by the denominator term to obtain a third intermediate value; subtract a second constant term from the third intermediate value to obtain an argon blowing gas permeability equivalent value.

[0063] The first intermediate value is the result of squaring the argon blowing photosensitive equivalent value. The first intermediate value amplifies the numerical characteristics of the argon blowing photosensitive equivalent value through mathematical operations. The calculation process squares the argon blowing photosensitive equivalent value. The first intermediate value strengthens the contribution of light signal intensity to the final result and provides a basic component for the numerator term calculation.

[0064] The second intermediate value is the result of multiplying the argon blowing photosensitive equivalent value by a fixed coefficient. The fixed coefficient is a preset multiplication factor, and its value is determined according to model optimization. The second intermediate value adjusts the proportion of the argon blowing photosensitive equivalent value through linear transformation, and its role is to control the weight while maintaining the linear relationship of the characteristics.

[0065] The argon blowing gas permeability equivalent value is calculated by the following formula: ; Specifically, first, square the argon blowing photosensitive equivalent value to obtain a first intermediate value. Squaring amplifies the characteristic differences of the light signal, so that larger photosensitive equivalent values have higher weights. Then multiply the argon blowing photosensitive equivalent value by a fixed coefficient to obtain a second intermediate value. The fixed coefficient is usually 2, which is used to maintain the linear component of the characteristics. Then add the first intermediate value, the second intermediate value and a first constant term to obtain a numerator term. The first constant term is 7, which is used to adjust the baseline level of the model. The calculation of the numerator term completes the comprehensive expression of the light signal characteristics.

[0066] At the same time, multiply the argon blowing flow accumulation value by a fixed coefficient to obtain a denominator term. The fixed coefficient is also 2, which makes the flow parameter and the light signal parameter match in order of magnitude. Then divide the numerator term by the denominator term to obtain a third intermediate value. This operation establishes the proportional relationship between the light signal and the flow, reflecting the light signal intensity corresponding to the unit flow. Finally, subtract a second constant term from the third intermediate value to obtain an argon blowing gas permeability equivalent value. The second constant term is 66, which is used to calibrate the result to the standard range. The entire calculation process fuses the light signal and flow parameters through a nonlinear model and finally outputs a gas permeability index with clear physical meaning.

[0067] By fusing the argon blowing photosensitive equivalent value and the argon blowing flow cumulative value into the calculation method of the argon blowing permeability equivalent value, the quantitative relationship model of the light signal characteristics and the flow parameter is effectively established, the limitation of single parameter evaluation of the permeability is solved, the interactive effect of the light signal and the flow is captured through the nonlinear combination, and the final output of the argon blowing permeability equivalent value can accurately reflect the real state of the ladle permeability.

[0068] After obtaining the argon blowing permeability equivalent value, as shown in some embodiments, the method further comprises: Figure 3 presetting an effective range; in the case where the argon blowing permeability equivalent value is in the effective range, determining the argon blowing permeability equivalent value; in the case where the argon blowing permeability equivalent value is out of the effective range, generating a sensor fault detection signal.

[0069] The preset effective range is a predefined numerical interval for judging the rationality of the argon blowing permeability equivalent value. The preset effective range is determined by process experience and experimental data. The structure of the preset effective range includes a minimum value and a maximum value, representing the normal fluctuation interval of the argon blowing permeability equivalent value. The preset effective range provides a judgment reference to distinguish effective measurement results and abnormal conditions. In this embodiment, the effective range is 0-259.

[0070] If the argon blowing permeability equivalent value is in the effective range, the argon blowing permeability equivalent value is determined. The determination action includes marking the value as valid and preparing to send to the human-machine interface. If the argon blowing permeability equivalent value is out of the effective range, a sensor fault detection signal is generated. The process of generating the signal includes triggering an alarm flag, encoding fault information and outputting to the monitoring system. The purpose of generating the signal is to prompt the abnormality in time and avoid the misuse of error data.

[0071] In some embodiments, after the sensor fault detection signal is generated, the method further comprises: in response to the generation of the sensor fault detection signal, detecting the photosensitive sensor and the flow pressure sensor.

[0072] When the argon blowing permeability equivalent value is out of the effective range, the alarm mechanism is triggered, and after the sensor fault detection signal is generated, the detection program is started in response to the signal. When the photosensitive sensor is detected, a standard test light signal is sent to the photosensitive sensor, for example, a fixed light intensity is simulated through a built-in light source, and then the output response of the photosensitive sensor is collected. The expected output value is compared with the actual measured value. If the deviation is too large, it indicates a fault.

[0073] When detecting the flow pressure sensor, the zero point output of the sensor is checked, a known pressure or flow simulation signal is applied, and it is verified whether the reading is within the allowed error. The detection operation is necessary because it can distinguish between real process abnormalities and sensor failures, and avoid production interruptions caused by false positives. The detection result is used to update the system state. If the sensor is normal, the parameters can be recalibrated. If a fault is detected, the system logs and prompts the maintenance personnel to intervene.

[0074] The following table is a comparison of the automatic measurement of the LF ladle permeability and the visual reference. The test data is randomly selected from 80 furnaces of different steel grades.

[0075]

[0076] From the comparison of the above table data, it can be seen that the automatic measurement result of the LF furnace ladle permeability based on machine vision technology is basically accurate, and is basically consistent with the measurement result of the operator's visual method.

[0077] The present application collects the light signal in the argon blowing process through machine vision technology, and equivalent models the LF furnace ladle permeability through different photosensitive signals in the actual argon blowing process under the same flow. The automatic measurement of the permeability provides important guidance information for subsequent argon blowing operation, effectively avoids spattering and crust, and has good application prospect.

[0078] Based on the above-mentioned LF furnace ladle permeability automatic measurement method based on visual technology, some embodiments of the present application also provide an LF furnace ladle permeability automatic measurement system based on visual technology, which comprises: A photosensitive signal sensor for collecting photosensitive sensor data; A flow pressure sensor for collecting argon blowing flow pressure data; An acquisition module for acquiring photosensitive sensor data and argon blowing flow pressure data; A first calculation module for calculating the argon blowing photosensitive equivalent value based on the photosensitive sensor data; A second calculation module for calculating the argon blowing flow cumulative value based on the argon blowing flow pressure data; A permeability model for receiving the argon blowing photosensitive equivalent value and the argon blowing flow cumulative value to output the argon blowing permeability equivalent value.

[0079] According to the technical scheme, the application provides a LF ladle permeability automatic measurement method and system based on visual technology, the method comprises the following steps: acquiring photosensitive sensor data and argon blowing flow pressure data; calculating argon blowing photosensitive equivalent value based on the photosensitive sensor data; calculating argon blowing flow cumulative value based on the argon blowing flow pressure data; inputting the argon blowing photosensitive equivalent value and the argon blowing flow cumulative value into a permeability model to output argon blowing permeability equivalent value. The method realizes full-automatic quantitative measurement of ladle permeability by automatically collecting photosensitive sensor data and argon blowing flow pressure data, calculating argon blowing photosensitive equivalent value and argon blowing flow cumulative value, and finally outputting argon blowing permeability equivalent value through the permeability model. When the permeability is good, the argon blowing permeability equivalent value is low, and the anti-splashing measure can be triggered in time to avoid production safety hazards caused by molten steel splashing. When the permeability is poor, the argon blowing permeability equivalent value is high, and the argon blowing flow can be increased to prevent molten steel crust and ensure the continuity of the smelting process.

[0080] The similar parts among the embodiments provided by the application can be referred to each other, the specific embodiments provided above are only some examples under the general concept of the application, and do not constitute the limitation of the protection scope of the application. Any other embodiments extended according to the application scheme without creative labor belong to the protection scope of the application for those skilled in the art.

Claims

1. An automatic measurement method for the air permeability of LF furnace steel ladles based on vision technology, characterized in that, include: Acquire data from the photosensitive sensor and argon blowing flow and pressure data; Based on the data from the photosensitive sensor, the equivalent value of the argon-blown photosensitive sensor is calculated; Based on the argon blowing flow rate and pressure data, calculate the cumulative value of the argon blowing flow rate; The equivalent value of the argon blowing photosensitive function and the cumulative value of the argon blowing flow rate are input into the gas permeability model to output the equivalent value of the argon blowing gas permeability.

2. The automatic measurement method for the air permeability of LF furnace steel ladle based on vision technology according to claim 1, characterized in that, The acquisition of photosensitive sensor data and argon blowing flow and pressure data includes: In response to the completion of decoupling, the argon blowing flow rate is set to the preset flow rate value; Activate the photosensitive sensor and the flow and pressure sensor to collect photosensitive sensor data and argon blowing flow and pressure data.

3. The automatic measurement method for the air permeability of LF furnace steel ladle based on vision technology according to claim 2, characterized in that, The acquisition of photosensitive sensor data and argon blowing flow and pressure data also includes: The startup duration for acquiring the photosensitive sensor data and the argon blowing flow and pressure data in response to the activation of the photosensitive sensor and the flow and pressure sensor; Set the preset duration; While the startup duration is greater than or equal to the preset duration, data from the photosensitive sensor and argon blowing flow and pressure are collected.

4. The automatic measurement method for the air permeability of LF furnace steel ladle based on vision technology according to claim 1, characterized in that, The calculation of the equivalent value of the argon-blown photosensitivity based on the data from the photosensitizer includes: Extract the values ​​of all sampling points from the data from the photosensitive sensor; Calculate the sum of squares of all the sampled values ​​to calculate the square root of the sum; Based on the square root value, the argon-blown photosensitive equivalent value is obtained, which is the quotient of the square root value and the total number of sampling points.

5. The automatic measurement method for the air permeability of LF furnace steel ladle based on vision technology according to claim 1, characterized in that, The calculation of the cumulative argon blowing flow rate based on the argon blowing flow rate and pressure data includes: Extract the flow rate values ​​of all sampling points from the argon blowing flow rate and pressure data; Calculate the sum of squares of all the stated flow rates to calculate the square root of that sum. Based on the square root value, the cumulative argon flow rate is obtained, which is the quotient of the square root value and the total number of sampling points.

6. The automatic measurement method for the air permeability of LF furnace steel ladle based on vision technology according to claim 1, characterized in that, The step of inputting the equivalent value of argon blowing photosensitivity and the cumulative value of argon blowing flow rate into the permeability model to output the equivalent value of argon blowing permeability includes: The equivalent value of the argon-blown photosensitivity is squared to obtain the first intermediate value; The equivalent value of the argon-blown photosensitivity is multiplied by a fixed coefficient to obtain a second intermediate value; Add the first intermediate value, the second intermediate value, and the first constant term to obtain the numerator; Multiply the cumulative argon flow rate by a fixed coefficient to obtain the denominator. Divide the numerator by the denominator to obtain the third intermediate value; Subtract the second constant term from the third intermediate value to obtain the equivalent value of argon blowing permeability.

7. The automatic measurement method for the air permeability of LF furnace steel ladle based on vision technology according to claim 1, characterized in that, The method further includes: Preset effective range; The argon-blown permeability equivalent value is determined when it is within the effective range. If the equivalent value of argon blowing exceeds the effective range, a sensor fault detection signal is generated.

8. The automatic measurement method for the air permeability of LF furnace steel ladle based on vision technology according to claim 7, characterized in that, After generating the sensor fault detection signal, the method further includes: In response to the generation of a sensor fault detection signal, the photosensitive sensor and the flow and pressure sensor are detected.

9. An automatic measurement system for the air permeability of LF furnace steel ladles based on vision technology, characterized in that, The method for automatically measuring the air permeability of LF furnace steel ladles based on vision technology as described in any one of claims 1-8 includes: A photosensitive signal sensor is used to collect data from a photosensitive sensor. Flow and pressure sensors are used to collect argon blowing flow and pressure data; The acquisition module is used to acquire data from the photosensitive sensor and argon blowing flow and pressure data; The first calculation module is used to calculate the equivalent value of the argon-blown photosensitivity based on the data from the photosensitizer. The second calculation module is used to calculate the cumulative value of argon blowing flow rate based on the argon blowing flow rate and pressure data; A permeability model is used to receive the argon blowing photosensitive equivalent value and the cumulative value of argon blowing flow rate, so as to output the argon blowing permeability equivalent value.

10. The automatic measurement system for the air permeability of LF furnace steel ladles based on vision technology according to claim 9, characterized in that, The photosensitive signal sensor is positioned above and to the side of the LF furnace ladle sitting position.

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