Oxygen pressure detection method and device for ladle nozzle hole burning system

Abstract

The invention belongs to the technical field of iron and steel smelting, and particularly relates to an oxygen pressure detection method and device for a ladle nozzle eye-burning system, and the method comprises the following steps: collecting an image of an oxygen pressure detection area through an image collection unit; analyzing the characteristics of the detection area by using a control system, determining the detection point position of the oxygen pressure detection area, and controlling an oxygen lance clamp to enable the oxygen burning pipe to be aligned with the detection point; an oxygen burning pipe is adopted to spray oxygen to a detection point, and a feedback unit judges whether an electric signal is triggered or not based on actual blowing pressure and sends a result to a control system; and the control system performs corresponding operation according to the feedback signal. The technical problems that in the prior art, steel ladle nozzle hole burning operation depends on manual work, and oxygen pressure detection is insufficient are solved, and the reliability and safety of steel ladle nozzle hole burning treatment are effectively guaranteed.

Description

Technical Field

[0001] The invention belongs to the technical field of steel smelting, and in particular relates to an oxygen pressure detection method and device for a ladle water nozzle burning eye system. Background Art

[0002] In the ladle hot repair operation, oxygen burning pipes are widely used to burn the blocked water inlet, so as to blow the solidified slag in the water inlet into molten steel and flow out of the water inlet, thereby ensuring that the next ladle of molten steel can flow out of the water inlet smoothly. However, the existing water inlet burning method mainly relies on manual operation, which has many problems and disadvantages.

[0003] First, there are safety hazards in manually holding the oxygen burning tube to perform the eye burning operation. The high temperature environment and splashing molten steel pose a serious threat to the personal safety of workers on site. In addition, the accuracy and efficiency of manual operation are low, which can easily lead to unsatisfactory eye burning results, affecting work efficiency and production quality.

[0004] In order to improve safety and efficiency, some systems have begun to use robots to hold oxygen-burning pipes for nozzle burning operations. However, in actual applications, these systems still require on-site observers to ensure that the oxygen-burning pipes held by the robots are aligned with the nozzles and that the slag in the nozzles is purged. This arrangement not only increases labor costs, but also still poses safety risks because observers need to work in high temperatures and dangerous environments.

[0005] In addition, the prior art lacks effective oxygen pressure detection. During the water nozzle burning operation, oxygen pressure directly affects the burning effect. If the oxygen pressure is too low, the burning effect will be significantly reduced, resulting in the inability to thoroughly clean the slag, affecting the operating efficiency, and even requiring manual re-burning. There are two main reasons for the reduction in oxygen pressure: one is that the gas source pressure itself becomes smaller, and the other is that the tempering valve on the fixture is damaged. However, the detection method for tempering valve failure in the existing system is insufficient, and this problem cannot be discovered and dealt with in time. If the oxygen pressure is too high, it will cause steel seepage, steel leakage, and steel penetration in the ladle, and accelerate the erosion of the refractory lining of the ladle, shorten its service life, and increase the frequency of maintenance and replacement. High oxygen pressure will cause the molten steel to boil and splash violently, increase the difficulty and danger of operation, and may cause the molten steel to overflow, pollute the environment and damage equipment. It will also lead to increased fuel consumption, increased production costs, and reduced economic benefits. Summary of the invention

[0006] In view of the above problems, the present invention provides an oxygen pressure detection method and device for a ladle water nozzle burning eye system. The oxygen pressure detection method performs oxygen pressure detection before the ladle water nozzle burning eye operation, which solves the problems of steel leakage, steel penetration, water nozzle blockage, and normal production order caused by insufficient or excessive oxygen pressure affecting the burning eye effect during the water nozzle burning eye process, and identifies abnormal oxygen pressure faults, improves operation safety and efficiency, and reduces manual intervention.

[0007] On the one hand, the present invention provides an oxygen pressure detection method for a ladle nozzle burning eye system, the method is applied to the ladle nozzle burning eye system, the ladle nozzle burning eye system comprises an oxygen lance fixture for clamping an oxygen burning pipe, a control system for controlling the movement of the oxygen lance fixture, and an image acquisition unit installed on the side of the oxygen lance fixture; the method comprises:

[0008] Step 1: using an image acquisition unit to acquire an image of the oxygen pressure detection area;

[0009] Step 2: Analyze the features of the detection area in the image using a control system, determine the detection point position of the oxygen pressure detection area according to the features of the detection area, and control the oxygen gun fixture to align the oxygen burning tube with the detection point;

[0010] Step 3: Use an oxygen-burning tube to spray oxygen to the detection point and detect the actual blowing pressure of the oxygen-burning tube. If the actual blowing pressure of the oxygen-burning tube meets the set blowing pressure, the feedback unit triggers an electrical signal and sends it to the control system. If the actual blowing pressure of the oxygen-burning tube does not meet the set blowing pressure, the feedback unit has no electrical signal output;

[0011] Step 4: If the control system receives the electrical signal from the feedback unit, it controls the oxygen lance fixture to perform ladle water nozzle burn eye treatment. If the control system does not receive the electrical signal from the feedback unit, the control system shuts down and performs fault identification.

[0012] Furthermore, the step 2 comprises:

[0013] Step 2.1: preprocess the acquired image and detect the edge of the preprocessed image;

[0014] Step 2.2: Use the convolutional neural network to extract the features of the detection points from the image processed in step 1;

[0015] Step 2.3: Align the extracted features with the pre-stored template features, determine the matching relationship between the feature points, and calculate the position of the template image in the target image based on the matching relationship;

[0016] Step 2.4: The center of the matching area is calculated by matching the geometric transformation between the feature points. The control system controls the oxygen gun fixture based on the center of the matching area to align the oxygen burning tube with the center of the matching area.

[0017] Furthermore, in step 3, the blowing pressure of the oxygen burning tube is 1.4-1.6 MPa, and if the blowing pressure is lower than 1.4 MPa, the feedback unit will not output any electrical signal.

[0018] Furthermore, in step 4, the control system includes a feedback receiving module and a control instruction module; the feedback receiving module is used to receive the electrical signal of the feedback unit, and the control instruction module is used to send a burning eye instruction to the actuator.

[0019] Furthermore, in step 4, the control system also includes a self-diagnosis module, which is used to detect the state of the air supply system and restart the burn eye treatment after the air supply system returns to normal.

[0020] On the other hand, the present invention provides an oxygen pressure detection device for implementing any one of the above-mentioned oxygen pressure detection methods for a ladle nozzle burning eye system, comprising a detection movable bracket, a counterweight, a travel switch, a detection fixed bracket and a mounting column;

[0021] The detection fixed bracket is arranged on the top of the mounting column, the detection movable bracket is rotatably connected with the detection fixed bracket through a rotating shaft, the travel switch is arranged on the detection fixed bracket and is connected with a control system; the detection movable bracket comprises a resistance arm and a detection arm, which are respectively located at two ends of the rotating shaft, the resistance arm is provided with the counterweight block and is connected with the travel switch to drive the travel switch, and the detection arm is provided with a pressure receiving area of ​​the oxygen pressure detection device.

[0022] Furthermore, the trigger arm can rotate along the travel switch body.

[0023] Furthermore, the detection movable bracket is provided with a groove for guiding the flow of oxygen.

[0024] Furthermore, there are multiple counterweight blocks.

[0025] Furthermore, the detection movable bracket is provided with a mounting groove for the counterweight block.

[0026] Furthermore, the oxygen pressure detection device detects the blowing pressure of the oxygen burning pipe by the following formula:

[0027]

[0028] Where: P represents the theoretical blowing pressure of the oxygen-burning tube; M represents the total weight of the counterweight block; L mrepresents the distance from the counterweight block to the axle pin; k represents the restoring moment constant of the detection movable bracket, N·m / rad; θ switch Indicates the trigger angle of the travel switch; A indicates the effective force area of ​​the groove; L p Indicates the distance from the blowing force application point to the shaft pin.

[0029] The beneficial effects of the present invention are:

[0030] First, the oxygen pressure detection method of the present invention monitors the oxygen pressure detection area in real time through an image acquisition unit, and uses a control system to analyze the characteristics of the detection area, so as to achieve precise positioning of the detection point and automatic alignment of the oxygen burning tube. A convolutional neural network is used to extract features and align them with the template, so that the oxygen burning tube can be accurately aligned with the area to be processed, thereby improving the accuracy of the ladle water nozzle burning eye operation and reducing manual intervention. The actual blowing pressure of the oxygen burning tube is detected to determine whether it reaches the set value (1.4-1.6MPa), and the detection result is transmitted to the control system through the feedback unit. If the actual pressure does not meet the requirements, the system will automatically shut down and perform fault identification to avoid poor burning eye effects caused by low pressure. This optimized pressure detection and feedback mechanism ensures the stability and consistency of the burning eye operation, avoids interruptions or failures of operations due to insufficient pressure, and effectively ensures the reliability and safety of the ladle water nozzle burning eye treatment;

[0031] Second, in the preferred implementation, by setting up a self-diagnosis module in the control system, the invention can monitor the status of the gas supply system in real time and automatically restart the burn-eye process after the gas supply returns to normal. This intelligent fault handling and self-repair mechanism not only improves the safety of the system, but also reduces the time and frequency of manual intervention, ensuring the continuity and reliability of the burn-eye operation;

[0032] Third, in the preferred implementation, the present invention realizes precise control of the oxygen gun fixture through an automated control system, and automatically adjusts the position and pressure of the oxygen burning tube, which greatly reduces the complexity and labor intensity of manual operation. Through feedback control and self-diagnosis functions, the system can automatically shut down and diagnose the cause of the fault when an abnormality is detected, avoiding potential safety hazards in manual operation and improving overall work efficiency.

[0033] Fourth, in the preferred implementation, the present invention can adapt to the complex working environment during the ladle nozzle burning process, including high temperature, high dust and strong light interference, through preprocessing, edge detection, feature extraction and matching of the collected images, as well as real-time monitoring and feedback control of the oxygen pressure, to ensure that each burning operation can meet the expected quality standards, thereby improving the overall quality and efficiency of the ladle nozzle maintenance;

[0034] Fifth, the oxygen pressure detection device of the present invention realizes real-time detection and response to oxygen pressure by combining the detection movable bracket and the travel switch. The resistance arm of the detection movable bracket is connected to the counterweight block, so that the pressure change can be accurately reflected on the travel switch, and the change of oxygen pressure can be quickly responded, thereby improving the detection accuracy and reaction speed, and effectively ensuring the stability and accuracy of pressure monitoring;

[0035] Sixth, in a preferred implementation, by providing a mounting slot for a counterweight block and a plurality of counterweight blocks on the detection movable bracket, the device can flexibly adjust the detection sensitivity to meet the detection requirements of different pressure ranges. This design provides a high degree of flexibility, enabling the device to adapt to a variety of working scenarios, further enhancing the practicality of the device;

[0036] Seventh, in a preferred implementation, the detection movable bracket of the present invention is provided with a groove for guiding the flow of oxygen, so that the oxygen flow can flow to the pressure receiving area in an orderly and concentrated manner. This design not only improves the working efficiency of the device, but also reduces the loss of oxygen during the flow process, ensures the accuracy and efficiency of oxygen pressure detection, and provides reliable airflow guarantee for the operation of the overall system. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is a flow chart of an oxygen pressure detection method for a ladle nozzle burner system according to an embodiment of the present invention;

[0038] Figure 2 It is a three-dimensional structural diagram of a ladle nozzle burning eye system and an oxygen pressure detection device according to an embodiment of the present invention;

[0039] Figure 3 is a three-dimensional structural diagram of the oxygen pressure detection device of an embodiment of the present invention in a non-detection state;

[0040] Figure 4 yes Figure 3 A partial enlarged view of middle A;

[0041] Figure 5 is a three-dimensional structural diagram of the oxygen pressure detection device in the detection state according to the embodiment of the present invention;

[0042] Figure 6 yes Figure 5 A partial enlarged view of B.

[0043] Among them, 1-oxygen pressure detection device; 10-detection movable bracket; 100-groove; 11-axis pin; 12-counterweight block; 13-travel switch; 130-trigger arm; 14-detection fixed bracket; 15-installation column; 2-oxygen burning pipe; 3-oxygen gun fixture; 4-robot. DETAILED DESCRIPTION

[0044] In order to enable those skilled in the art to better understand the technical solution of the present application, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0045] The terms such as up, down, left, right, front and back in this application document are based on the positional relationships shown in the drawings. If the drawings are different, the corresponding positional relationships may also change accordingly, so they cannot be understood as limiting the scope of protection.

[0046] In this application, the terms "install", "connected", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, an integral connection, a mechanical connection, an electrical connection, or mutual communication, a direct connection, or an indirect connection through an intermediate medium, the internal connection of two components, or the interaction relationship between two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0047] Refer to the instruction manual Figure 1 The present invention describes an oxygen pressure detection method for a ladle nozzle burning eye system, which is applied to the ladle nozzle burning eye system. The ladle nozzle burning eye system includes an oxygen gun fixture for clamping an oxygen burning pipe, a control system for controlling the movement of the oxygen gun fixture, and an image acquisition unit in communication with the control system. The method includes:

[0048] Step 1: Use an image acquisition unit to acquire an image of the oxygen pressure detection area.

[0049] Step 2: Utilize the control system to analyze the features of the detection area in the image, determine the detection point position of the oxygen pressure detection area according to the features of the detection area, and control the oxygen gun fixture to align the oxygen burning tube with the detection point.

[0050] Step 2 specifically includes:

[0051] Step 2.1: Preprocess the acquired image and perform edge detection on the preprocessed image.

[0052] Preprocessing includes grayscale processing, noise removal and contrast enhancement. Grayscale processing converts the image into a grayscale image. Grayscale processing can reduce the computational complexity because the grayscale image only contains intensity information, not color information. Noise in the image is removed by filtering (such as median filtering, Gaussian filtering, etc.) to prevent noise from interfering with subsequent edge detection and feature extraction. Contrast enhancement uses histogram equalization or adaptive contrast enhancement (CLAHE) technology to enhance the contrast of the image and make the edges of the detection area more obvious.

[0053] It should be noted that commonly used edge detection algorithms include Sobel operator, Canny edge detector, etc. The present invention adopts Canny edge detector, and the specific process of Canny edge detection is:

[0054] S1: Perform Gaussian filtering on the image to smooth the image and reduce noise.

[0055] S2: Detect possible edge points by calculating the gradient of the image grayscale intensity.

[0056] S3: Remove points that cannot be edges and retain potential edge points.

[0057] S4: Use high threshold and low threshold to filter the detected edge points to form a final edge map.

[0058] Step 2.2: Use a convolutional neural network to extract the features of the detection points from the image processed in step 1.

[0059] The detection point of the present invention has a specific geometric shape, so the feature of the detection point is a shape feature (such as a circle, a rectangle, etc.).

[0060] Step 2.3: Align the extracted features with the pre-stored template features, determine the matching relationship between the feature points, and calculate the position of the template image in the target image based on the matching relationship.

[0061] Step 2.4: The center of the matching area is calculated by matching the geometric transformation between the feature points. The control system controls the oxygen gun fixture based on the center of the matching area to align the oxygen burning tube with the center of the matching area.

[0062] Step 3: Use an oxygen-burning tube to spray oxygen to the detection point and detect the actual blowing pressure of the oxygen-burning tube. If the actual blowing pressure of the oxygen-burning tube meets the set blowing pressure, the feedback unit triggers an electrical signal and sends it to the control system. If the actual blowing pressure of the oxygen-burning tube does not meet the set blowing pressure, the feedback unit has no electrical signal output.

[0063] Specifically, when the air pressure is normal, the detection movable bracket of the feedback unit rotates to the detection angle and triggers the travel switch, and the travel switch outputs a signal; when the air pressure is abnormal, the detection movable bracket of the feedback unit does not rotate to the detection angle, and the travel switch has no signal output.

[0064] In the preferred solution of the present application, the pressure of oxygen sprayed from the oxygen-burning tube to the detection point is maintained between 1.4-1.6 MPa. If it is lower than 1.4 MPa, the feedback unit will have no electrical signal output, which is regarded as abnormal actual blowing pressure.

[0065] Step 4: If the control system receives the electrical signal from the feedback unit, it controls the oxygen lance fixture to perform ladle water nozzle burn eye treatment. If the control system does not receive the electrical signal from the feedback unit, the control system shuts down and performs fault identification.

[0066] Specifically, the control system includes a feedback receiving module and a control instruction module; the feedback receiving module is used to receive the electrical signal of the feedback unit, and the control instruction module is used to send a burn eye instruction to the actuator. When the feedback receiving module receives the electrical signal of the feedback unit, the control instruction module issues an instruction and controls the system to move the oxygen gun fixture to the ladle water inlet for burn eye treatment; when the feedback receiving module does not receive the electrical signal of the feedback unit, the control instruction module determines that the gas supply system is abnormal and issues an instruction to stop the ladle water inlet burn eye treatment.

[0067] In a preferred solution of the present application, the control system also includes a self-diagnosis module, which is used to detect the status of the gas supply system and restart the burn eye treatment after the gas supply system returns to normal.

[0068] The self-diagnosis module is an important part of the ladle water burnout system. Its main function is to monitor the status of the gas supply system and automatically restart the burnout process after the system returns to normal. Its working principle includes the following steps:

[0069] S1: Condition Monitoring: The self-diagnosis module monitors key parameters of the gas supply system, such as pressure, flow, and temperature, through sensors and monitoring equipment. When the gas supply system is abnormal, the self-diagnosis module can immediately detect these changes.

[0070] S2: Fault identification: When it is detected that the parameters of the air supply system deviate from the normal range, the self-diagnosis module will start the fault identification program, analyze the abnormal data, and determine the nature and possible causes of the fault.

[0071] S3: Alarm and record: Once a fault is identified, the self-diagnosis module will send out an alarm signal and record the fault information. The alarm signal can be sent to the operator's control terminal to alert the staff through an audible and visual alarm or by sending information to the operator's control terminal. Taking the tempering valve fault of the ladle water inlet burner system as an example, the process of the self-diagnosis module identifying the fault includes:

[0072] First, the self-diagnosis module collects data from multiple sensors in the gas supply system, including data from pressure sensors, flow sensors, and temperature sensors, and pre-processes the collected data, including noise removal, data smoothing, and outlier detection. Filtering algorithms (such as Kalman filtering or moving average filtering) are used to improve data quality.

[0073] The data is then compared with the set normal operating parameter range. For example, the pressure threshold and flow threshold are set. The set normal pressure range is 1.4-1.6MPa. If the pressure sensor reading is lower than 1.4MPa, the system will be judged as abnormal; the set normal flow range is 10-15L / min. If the flow sensor reading is lower than 10L / min, the system will be judged as abnormal.

[0074] Then, through historical data and the fault mode library, the self-diagnosis module can match the current abnormal data with known fault modes. For example, a sudden drop in pressure and a decrease in flow rate indicate that the tempering valve is blocked. Furthermore, each fault has a corresponding parameter change pattern, and the nearest neighbor algorithm is used for fault identification. The parameter characteristics of common faults, such as tempering valve blockage, air leakage, valve failure, etc., are comprehensively analyzed to determine the nature of the fault by analyzing the change trends of multiple parameters. For example, a drop in pressure accompanied by a decrease in flow rate can determine that the tempering valve is blocked. This process can use decision trees or Bayesian networks for multi-parameter association analysis to help accurately identify the type of fault.

[0075] The working process of the self-diagnosis module includes:

[0076] S4: Automatic shutdown: When a serious fault occurs in the gas supply system, in order to protect the equipment and ensure safety, the self-diagnosis module will automatically stop the burn eye treatment process to avoid further damage.

[0077] S5: Fault handling and recovery: The staff will check and repair the fault according to the fault information provided by the self-diagnosis module. After the repair is completed, the gas supply system will resume normal operation.

[0078] S6: Automatic restart: After the gas supply system returns to normal, the self-diagnosis module will test again to confirm that all parameters are within the normal range. If the test results are normal, the self-diagnosis module will automatically restart the burn eye treatment process without manual intervention.

[0079] S7: System optimization: Through multiple fault detection and processing, the self-diagnosis module can continuously optimize the operating parameters of the gas supply system and improve the stability and reliability of the system.

[0080] Through the above working process of the self-diagnosis module, the status of the gas supply system can be detected, and the burning eye processing can be restarted after the gas supply system returns to normal, which significantly improves the intelligence level and working efficiency of the ladle water inlet burning eye system, ensures the high-precision, high-reliability and high-automation operation of the system, and thus improves the working performance of the ladle water inlet burning eye system.

[0081] Furthermore, in order to achieve the above-mentioned objectives, the control system of the present invention also provides an oxygen pressure detection device for executing the above-mentioned oxygen pressure detection method for the ladle water nozzle burning eye system.

[0082] Refer to the instruction manual Figure 2 The oxygen pressure detection device 1 is arranged at one end of the ladle nozzle burning eye system. The ladle nozzle burning eye system comprises a robot 4, an oxygen gun fixture 3 arranged at the end of the robot 4 arm, an oxygen burning pipe 2 clamped on the oxygen gun fixture 3 and a control cabinet.

[0083] The robot 4 includes a multi-degree-of-freedom robotic arm, which is electrically connected to the control cabinet to control the movement of the multi-degree-of-freedom robotic arm. The multi-degree-of-freedom robotic arm can flexibly move and operate the end fixture. The oxygen gun fixture 3 includes a fixture for clamping the oxygen burning tube 2 and an image acquisition device. The image acquisition device is used to collect the detection point position and surrounding environment of the oxygen pressure detection device 1, as well as the position of the ladle outlet and the purging of the slag in the outlet. The control cabinet has a built-in control system. The control system issues instructions to control the movement of the multi-degree-of-freedom robotic arm of the robot 4 according to a preset program. The robot 4 drives the oxygen gun fixture 3 to move according to the instructions to ensure that the oxygen burning tube 2 can accurately blow oxygen into the designated position.

[0084] During the ladle water nozzle burning operation, the robot 4 clamps the oxygen burning tube 2 through the oxygen gun clamp 3, and obtains the position of the ladle water nozzle and the slag blowing situation in the water nozzle through the image acquisition device of the oxygen gun clamp 3, so as to realize unmanned operation at the water nozzle burning operation site, and avoid the molten iron from causing harm to the observers at the site from the source.

[0085] Refer to the instruction manual Figure 3-6 The oxygen pressure detection device 1 includes a detection movable bracket 10, an axle pin 11, a counterweight 12, a travel switch 13, a detection fixed bracket 14 and a mounting column 15. The detection fixed bracket 14 is arranged on one side of the top of the mounting column 15. The detection movable bracket 10 is rotatably connected with the detection fixed bracket 14 through the axle pin 11. The travel switch 13 is arranged on the detection fixed bracket 14 and connected with the control system. The travel switch 13 includes a resistance arm and a detection arm, which are respectively located at both ends of the axle pin 11. The resistance arm is provided with a counterweight 12 and is connected with the travel switch 13 to drive the travel switch 13. The detection arm is provided with a pressure receiving area of ​​the oxygen pressure detection device.

[0086] The output end of the travel switch 13 is connected to the input end of the control system. After the control system (such as PLC) receives the signal, it performs corresponding control according to the preset logic. In this embodiment, the travel switch 13 adopts a single-wheel rotary structure, including a trigger arm 130, a roller, a rotating shaft, a cam, a collision block, a reset spring, a micro switch and a housing. The interior of the housing is a cavity structure, the micro switch is arranged inside one end of the housing, the trigger arm 130 is arranged outside the other end of the housing, the two ends of the trigger arm 130 are respectively connected to the roller and one end of the rotating shaft, and the other end of the rotating shaft is connected to the cam inside the housing. There are two specific reset springs, namely the first reset spring and the second reset spring. The first reset spring contacts one side of the cam through the top block, the collision block and the second reset spring are located in the middle area of ​​the housing, one end of the collision block contacts the second reset spring and an adjustment screw is arranged at the bottom thereof, the adjustment screw is arranged opposite to the contact of the micro switch, the other end of the collision block is close to the other side of the cam, and the reset directions of the first reset spring and the second reset spring are opposite.

[0087] The trigger arm 130 can rotate along the rotating shaft, and the rotation angle of the trigger arm 130 includes an initial angle and a detection angle. When the trigger arm 130 is at the initial angle, it remains motionless due to the deadweight pressure of the detection movable bracket 10, and the working surface of the cam rotates to contact the top block on the first return spring, pushing the top block to compress the first return spring, so that the second return spring remains in a reset state. At this time, the adjusting screw does not contact the contact of the micro switch; as the detection movable bracket 10 is rotated by external force, the pressing force on the trigger arm 130 is released, and the trigger arm 130 rotates along the rotating shaft and maintains contact with the detection movable bracket 10 until the trigger arm 130 rotates to the detection angle, and the working surface of the cam rotates to contact the impact block, pushing the impact block to compress the second return spring, so that the first return spring remains in a reset state. At this time, the adjusting screw contacts the contact of the micro switch, triggering the travel switch 13 to send a signal to the control system; when the trigger arm 130 does not rotate to the detection angle, the travel switch does not trigger a signal.

[0088] It should be noted that when the trigger arm 130 is at the detection angle, the signal output by the travel switch 13 is used to indicate that the pressure at the detection point of the oxygen pressure detection device meets the set pressure value.

[0089] In the preferred solution of the present application, the mounting column 15 serves as the supporting structure of the entire oxygen pressure detection device 1 , is usually made of steel, has sufficient strength and stability, and is fixed on the ground or a work platform.

[0090] In the preferred solution of the present application, the detection fixed bracket 14 is a triangular structure to maintain the stability of the structure. Preferably, the detection fixed bracket 14 is made of aluminum alloy or steel, and the surface is anti-corrosive treated. Preferably, the detection point of the detection fixed bracket 14 has a groove 100, and oxygen is blown into the groove 100 through the oxygen burning tube 2. The use of the structure of the groove 100 can accurately guide the oxygen flow to the specified position, ensuring that the travel switch 13 can accurately measure the changes in oxygen. Compared with the planar structure, it can not only reduce the air pressure loss of oxygen during the flow process, ensure that the oxygen pressure at the detection point remains stable, which helps to obtain more accurate detection data, but also helps to stabilize the motion trajectory of the detection movable bracket 10 and prevent the position of the detection movable bracket 10 from being offset due to excessive oxygen thrust.

[0091] Furthermore, the triangular structure of the detection fixed bracket 14 includes two parallel and spaced-apart right-angled triangles, and the detection movable bracket 10 is an L-shaped structure, one side of the L-shaped structure is a resistance arm, which is horizontally arranged between the two right-angled triangles, and the other side of the L-shaped structure is a detection arm, which is vertically arranged downward, and a groove 100 is arranged at the bottom thereof facing the ladle water nozzle burning eye system.

[0092] A pin hole matching the corresponding position of the movable detection bracket 10 is provided at a corner of the fixed detection bracket 14 away from the mounting column 15, and the axle pin 11 is passed through the pin holes of the fixed detection bracket 14 and the movable detection bracket 10, so that the movable detection bracket 10 maintains a stably connected with the movable detection bracket 10 through the axle pin 11 during the rotation process.

[0093] There are multiple counterweights 12. Preferably, a mounting slot for the counterweight 12 is provided on the detection movable bracket 10 to ensure that the counterweight 12 can be easily installed and removed, and to prevent the counterweight 12 from slipping during the rotation of the detection movable bracket 10. According to the weight of the detection movable bracket 10, the number and position of the counterweights 12 are adjusted, which can effectively change the center of gravity of the detection movable bracket 10 and ensure its balance and stability during movement. Preferably, the multiple counterweights 12 are designed as small modules of various different weights. By combining counterweights 12 of different weights, a more precise center of gravity adjustment can be achieved.

[0094] The method for adjusting the counterweight 12 is as follows: if the detection movable bracket 10 is tilted or unstable during operation, a counterweight 12 is added to the corresponding position to shift the center of gravity to one side of the counterweight, thereby increasing the weight on that side to achieve the purpose of balance. If one side of the detection movable bracket 10 is too heavy, the counterweight 12 on that side is reduced, and by removing some counterweights 12, the center of gravity is adjusted back to the center of the detection movable bracket 10 to ensure its balance during movement.

[0095] According to the torque balance condition, the present invention uses the oxygen-burning tube to calculate the torque τ generated by the blowing pressure. pThe moment τ generated by the counterweight m And detect the restoring torque τ of the movable bracket r Achieving Balance:

[0096] τ p =τ m +τ r (1)

[0097] τ p =P×A×L p (2)

[0098] τ m =M×L m (3)

[0099] τ r = k × θ switch (4)

[0100] Substituting equations (2)-(4) into equation (1), we obtain:

[0101] P×A×L p =M×L m +k×θ switch (5)

[0102] Where: τ p It represents the torque generated by the theoretical blowing pressure of the oxygen-burning tube; τ m Represents the torque generated by the counterweight; τ r represents the restoring torque of the active support; P represents the blowing pressure of the oxygen tube; A represents the effective force-bearing area of ​​the groove; L p Indicates the distance from the blowing force point to the shaft pin; M indicates the total weight of the counterweight; L m represents the distance from the counterweight block to the axle pin; k represents the restoring moment constant of the detection movable bracket, N·m / rad; θ switch Indicates the trigger angle of the travel switch.

[0103] It can be seen that the total weight M of the counterweight block and its distance L to the axle pin 11 m The product of L represents the moment generated by the counterweight. If the weight of the counterweight is increased, or the counterweight is installed farther away (L m increases), then the moment τ generated by the counterweight m will be larger, which means that the same travel switch trigger angle θ switch , the required blowing pressure P needs to be larger. r and the restoring moment constant k and θ switch Proportional to θ switch is a constant value, then the restoring moment τ of the active bracket is detected rIt can be regarded as a constant. By adjusting the total mass M of the counterweight or adjusting the distance L from the counterweight to the pin m , the required blowing pressure P can be adjusted.

[0104] Further, the blowing pressure P is determined by the following formula:

[0105]

[0106] Formula (6) ensures that the oxygen pressure detection device 1 can effectively detect whether the actual blowing pressure of the oxygen burning pipe meets the theoretical blowing pressure requirement. If the actual blowing pressure is insufficient, the rotation angle of the travel switch does not reach θ switch If the value is too low, it indicates that there is a fault in the gas supply system.

[0107] In an embodiment of the present invention, the control system receives and processes the signal from the travel switch 13, the control system records the triggering time and position of the travel switch 13, generates a pressure detection data log, and if the travel switch 13 is not triggered, the system will record the abnormal situation and perform corresponding processing. The control system stores the pressure data in the data storage unit, and adopts a non-volatile memory to ensure the long-term preservation and reliable reading of the data. The operator accesses the stored pressure data through the host computer or the remote monitoring system, uses the data analysis software to perform trend analysis on the historical data, identifies the pressure change pattern, and finds out the cause of the abnormal pressure. When the travel switch 13 is not triggered, it indicates that the oxygen pressure is abnormal, and the control system will immediately trigger the sound and light alarm, and the alarm unit will send out a sound and light signal to notify the operator. After receiving the alarm information, the operator immediately checks the system status and confirms the specific cause of the abnormal pressure, such as leakage of the gas supply pipeline or failure of the tempering valve. According to the specific situation, take corresponding emergency measures, such as adjusting the oxygen supply, shutting down the equipment for maintenance, etc.

[0108] The oxygen lance pressure detection device and method of the present invention are widely used in industrial processes such as steel smelting and metal processing that require high-precision oxygen blowing. They can effectively detect the oxygen pressure required for the ladle water nozzle burning eye and identify faults that cause abnormal oxygen pressure. Through automated control and precise operation, they can improve production efficiency and product quality, reduce errors and risks caused by human operation, and are suitable for large-scale metallurgical enterprises and automated production lines.

[0109] The above is only an embodiment of the present invention, and the common sense such as the known specific structure and characteristics in the scheme is not described in detail here. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive, and the scope of the present invention is defined by the attached claims rather than the above description, so it is intended to include all changes within the meaning and scope of the equivalent elements of the claims. Any figure mark in the claims should not be regarded as limiting the claims involved.

Claims

1. A method for detecting oxygen pressure in a ladle nozzle burning eye system, the method being applied to the ladle nozzle burning eye system, the ladle nozzle burning eye system comprising an oxygen lance fixture for clamping an oxygen burning pipe, a control system for controlling the movement of the oxygen lance fixture, and an image acquisition unit installed on the side of the oxygen lance fixture; characterized in that: The method comprises: Step 1: using an image acquisition unit to acquire an image of the oxygen pressure detection area; Step 2: Analyze the features of the detection area in the image using a control system, determine the detection point position of the oxygen pressure detection area according to the features of the detection area, and control the oxygen gun fixture to align the oxygen burning tube with the detection point; Step 3: Use an oxygen-burning tube to spray oxygen to the detection point and detect the actual blowing pressure of the oxygen-burning tube. If the actual blowing pressure of the oxygen-burning tube meets the set blowing pressure, the feedback unit triggers an electrical signal and sends it to the control system. If the actual blowing pressure of the oxygen-burning tube does not meet the set blowing pressure, the feedback unit has no electrical signal output; Step 4: If the control system receives the electrical signal from the feedback unit, it controls the oxygen lance fixture to perform ladle water nozzle burn eye treatment. If the control system does not receive the electrical signal from the feedback unit, the control system shuts down and performs fault identification.

2. The oxygen pressure detection method for the ladle nozzle burning system according to claim 1 is characterized in that: The step 2 comprises: Step 2.1: preprocess the acquired image and detect the edge of the preprocessed image; Step 2.2: Use the convolutional neural network to extract the features of the detection points from the image processed in step 1; Step 2.3: Align the extracted features with the pre-stored template features, determine the matching relationship between the feature points, and calculate the position of the template image in the target image based on the matching relationship; Step 2.4: The center of the matching area is calculated by matching the geometric transformation between the feature points. The control system controls the oxygen gun fixture based on the center of the matching area to align the oxygen burning tube with the center of the matching area.

3. The oxygen pressure detection method for the ladle nozzle burning system according to claim 1 is characterized in that: In step 3, the blowing pressure of the oxygen burning tube is 1.4-1.6 MPa. If the blowing pressure is lower than 1.4 MPa, the feedback unit will have no electrical signal output.

4. The oxygen pressure detection method for the ladle nozzle burning system according to claim 1 is characterized in that: In step 4, the control system includes a feedback receiving module and a control instruction module; the feedback receiving module is used to receive the electrical signal of the feedback unit, and the control instruction module is used to send a burn eye instruction to the actuator.

5. The oxygen pressure detection method for the ladle nozzle burning system according to claim 1 is characterized in that: In step 4, the control system further comprises a self-diagnosis module, which is used to detect the state of the gas supply system and restart the burn eye process after the gas supply system returns to normal.

6. An oxygen pressure detection device for implementing the oxygen pressure detection method for a ladle nozzle burner system according to any one of claims 1 to 5, characterized in that: It comprises a detection movable bracket (10), a counterweight (12), a travel switch (13), a detection fixed bracket (14) and a mounting column (15); The detection fixed bracket (14) is arranged on the top of the installation column (15); the detection movable bracket (10) is rotatably connected to the detection fixed bracket (14) via a rotating shaft; the travel switch (13) is arranged on the detection fixed bracket (14) and is connected to a control system; the detection movable bracket (10) comprises a resistance arm and a detection arm, which are respectively located at two ends of the rotating shaft; the resistance arm is provided with the counterweight (12) and is connected to the travel switch (13) to drive the travel switch (13); the detection arm is provided with a pressure receiving area of ​​the oxygen pressure detection device.

7. The oxygen pressure detection device according to claim 6, characterized in that: The detection movable bracket (10) is provided with a groove (100) for guiding the flow direction of oxygen.

8. The oxygen pressure detection device according to claim 6, characterized in that: There are multiple counterweight blocks (12).

9. The oxygen pressure detection device according to claim 6, characterized in that: The detection movable bracket (10) is provided with a mounting groove for the counterweight block (12).

10. The oxygen pressure detection device according to claim 9, characterized in that: The oxygen pressure detection device detects the blowing pressure of the oxygen burning pipe by the following formula: Where: P represents the theoretical blowing pressure of the oxygen-burning tube; M represents the total weight of the counterweight block; L m represents the distance from the counterweight block to the axle pin; k represents the restoring moment constant of the detection movable bracket, N·m / rad; θ switch Indicates the trigger angle of the travel switch; A indicates the effective force area of ​​the groove; L p Indicates the distance from the blowing force application point to the shaft pin.

Images