A special intelligent detection and life management system and method for ladle sliding plate
By integrating the inspection head and intelligent life prediction module, the safety and accuracy issues of inspection in high-temperature environments of ladle slides are solved, achieving efficient and accurate inspection and life management, and adapting to the needs of different ladle tonnages and steel grades.
Patent Information
- Application Number
- CN202610733270.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-26
- Publication Date
- 2026-08-25
AI Technical Summary
Existing technologies for ladle skid plate inspection suffer from several drawbacks, including safety hazards for operators in high-temperature environments, low detection accuracy, complex and costly equipment, and inability to adapt to lying positions, resulting in low detection efficiency and a high misjudgment rate.
The integrated inspection head incorporates force feedback, infrared thermal imaging, acoustic and visual inspection components, combined with steelmaking process parameters, to achieve non-open-cover inspection. It also uses multi-sensor fusion and intelligent life prediction modules for data processing and prediction, supporting dual-station sharing and self-learning optimization.
It enables inspection without opening the lid in high-temperature environments, improving inspection accuracy and efficiency, reducing labor intensity and costs, adapting to different tonnage steel ladles and steel grades, and providing accurate life prediction and risk management.
Smart Images
Figure CN122632764A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of hot repair technology for steelmaking equipment, and relates to a special intelligent detection and life management system and method for ladle slide plates. Background Technology
[0002] The ladle slide plate is a core, easily damaged component in the continuous casting process of steelmaking, controlling the flow of molten steel and ensuring the safety of casting. Its working condition directly affects the continuity and safety of continuous casting production. Damage detection and life assessment of the slide plate are critical procedures during ladle hot repairs. Hot repairs of the ladle are conducted under extremely high temperatures and with significant amounts of dust and fumes, creating a harsh environment fundamentally different from the ambient temperature working environment of conventional industrial equipment. Furthermore, the ladle is typically laid horizontally during hot repairs to facilitate the operation of relevant procedures by the operators.
[0003] Currently, the mainstream practice in the industry still relies on manual inspection and lifespan assessment of skateboards, which has the following prominent problems and is difficult to adapt to with existing general industrial testing technologies: In high-temperature environments, operators must approach the steel ladle slide mechanism for visual inspection and tactile assessment, which increases the risk of burns, dust hazards, and other safety accidents, resulting in high labor intensity. Furthermore, manual inspection struggles to accurately identify unique defects such as internal cracks, hidden steel misalignment, and abnormal fit within the slide, leading to poor inspection consistency and high rates of misjudgment and missed detection.
[0004] Current technologies do not incorporate the erosion mechanism of ladle slide plates, nor do they couple steelmaking process parameters such as steel grade, pouring temperature, consecutive pouring cycles, and oxygen firing cycles. They rely solely on simple statistics or general models for life prediction, resulting in low accuracy. This can easily lead to excessive slide plate replacements, causing cost waste, or failure to replace them in a timely manner, resulting in production accidents such as steel leakage and unstable flow control.
[0005] Existing technologies often require opening the slide mechanism for inspection, which is complex and time-consuming. Current inspection equipment is not designed for the layout of ladle hot repair stations; it is mostly dedicated to a single station, resulting in high equipment costs and insufficient inspection stability, failing to meet the needs of batch hot repair. Furthermore, most equipment does not consider the actual scenario of ladle hot repair when it is laid horizontally, leading to complex mechanisms and low inspection efficiency.
[0006] Therefore, there is an urgent need for an intelligent detection and life management system and method specifically designed for ladle slide plates, adapted to high-temperature hot-state lying environments, combined with steelmaking process parameters, with simplified structure and high detection efficiency, to overcome the shortcomings of existing technologies. Summary of the Invention
[0007] In view of this, the purpose of the present invention is to provide a special intelligent detection and life management system and method for steel ladle skateboards.
[0008] To achieve the above objectives, the present invention provides the following technical solution: A special intelligent detection and life management system for steel ladle skateboards includes a non-opening detection module, a multi-sensor fusion unit, an intelligent life prediction module, an intelligent control unit, and a data storage and interaction module. The non-opening detection module adopts an integrated detection head, which integrates a force feedback detection component, an infrared thermal imaging component, an acoustic detection component, and a visual detection component into the same high-temperature resistant head. The four components synchronously and collaboratively collect data. The detection head makes flexible contact with the outer shell of the sliding plate mechanism through a high-temperature resistant elastic buffer, with the contact pressure controlled at 0.5~0.8MPa. The detection head is mounted on a rotatable and telescopic bracket. The multi-sensor fusion unit is electrically connected to the non-open cover detection module, and optimizes the noise reduction fusion algorithm for the high-temperature dust environment of steelmaking, processes the detection data and outputs standardized status results. The intelligent life prediction module is electrically connected to the multi-sensor fusion unit and has a built-in dedicated prediction model that couples steelmaking process parameters. The intelligent control unit is electrically connected to the multi-sensor fusion unit, the intelligent life prediction module, and the data storage and interaction module, respectively, to realize closed-loop control of the entire process of detection-prediction-recording-traceability.
[0009] Furthermore, the force feedback detection component uses an array of probes that only cover the core contact area of the skateboard.
[0010] Furthermore, the rotatable telescopic bracket is fixedly installed between two hot repair stations, enabling the dual stations to be used together; the bracket can rotate 360° and its telescopic range is adapted to 100~300t steel ladles.
[0011] Furthermore, the intelligent life prediction module has a self-learning optimization function, which can correct model parameters by combining historical detection data, actual furnace replacement times, and steelmaking process data.
[0012] Furthermore, the intelligent control unit has a built-in safety interlock module that automatically alarms when a major safety defect in the skateboard is detected; the data storage and interaction module can be connected to the steel plant's MES system.
[0013] Furthermore, the non-open-cover detection module is adapted to the hot working condition of a steel ladle lying down, and can obtain full-state data of the slide plate without opening the cover.
[0014] A method for intelligent detection and lifespan management of steel ladle slide plates, based on the aforementioned system, includes the following steps: S1. System initialization: The intelligent control unit completes self-tests of each module, adjusts the rotatable and telescopic bracket to align with the detection position of the horizontal ladle slide plate, and retrieves historical steelmaking process and slide plate parameter data. S2. The force feedback detection component, infrared thermal imaging component, acoustic detection component and visual detection component of the non-opening detection module simultaneously collect data on the sliding plate fit, temperature distribution, crack depth and surface defects under the hot state of the steel ladle lying down. S3. The multi-sensor fusion unit performs noise reduction, calibration, and fusion processing on the collected data, and outputs standardized skateboard state results; S4. The intelligent life prediction module combines a dedicated model with coupled steelmaking process parameters to predict the remaining life of the slide plate and determine the risk level. S5. The intelligent control unit performs hierarchical management based on risk level, synchronously archives data from the entire process, and the intelligent life prediction model completes self-learning and iterative optimization.
[0015] Furthermore, the risk levels are divided into three levels: safe, downgraded use, and immediate replacement. Downgraded use requires re-inspection after each heat of steel is poured, while immediate replacement directly triggers an interlock alarm.
[0016] Furthermore, the intelligent life prediction model continuously corrects the prediction results by adding historical detection data and actual working condition data, adapting to the differences in working conditions of different steel types and skateboard materials.
[0017] The beneficial effects of this invention are as follows: (1) The present invention can complete the inspection when the ladle is in a hot, lying state without opening the sliding plate mechanism, thus avoiding close contact between the operator and the hot ladle, effectively preventing burns and dust hazards, greatly reducing labor intensity, and eliminating the process of opening the cover, disassembling and resetting, which significantly improves the inspection efficiency and is well adapted to the hot repair needs of the ladle with fast turnover.
[0018] (2) The force feedback detection component, infrared thermal imaging component, acoustic detection component and visual detection component are integrated into the same detection head. The four components work synchronously and collaboratively, which can simultaneously acquire full state information such as the fit of the slide plate, temperature distribution, internal crack depth and surface defects, and accurately identify unique defects such as internal dark cracks, hidden steel spurs and abnormal fit that are difficult to detect manually. This solves the problem of the large limitations of a single detection method and the high rate of missed and false judgments.
[0019] (3) The bracket is fixedly installed between the two hot repair stations to achieve shared use. The structure is simple, occupies little space, and is convenient to rotate and extend. It not only meets the inspection needs of steel ladles of different tonnages, but also improves the space utilization of the hot repair station.
[0020] (4) The built-in intelligent life prediction module deeply integrates steelmaking process parameters such as steel grade, steel pouring temperature, and continuous pouring furnace, and has a self-learning optimization function. It can continuously correct the prediction results based on historical data and actual working conditions, realize accurate prediction of the remaining life of the slide plate and risk classification and control, and avoid waste caused by excessive replacement or production safety hazards caused by failure to replace in time.
[0021] (5) The modules work together to achieve automated management from non-open cover detection, data fusion processing, life prediction to hierarchical control and data archiving. It can also be connected to the steel plant's MES system to support full life cycle data traceability and remote sharing, providing reliable data support for refractory material procurement, hot repair plan formulation and refined management.
[0022] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination, or may be learned from practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Attached Figure Description
[0023] To make the objectives, technical solutions, and advantages of the present invention clearer, the preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, wherein: Figure 1 This is a schematic diagram illustrating the system composition and working principle of the present invention.
[0024] Attached reference numerals: 1: Sliding nozzle mechanism of molten steel ladle; 2: Molten steel ladle at No. 1 hot repair station; 3: Molten steel ladle at No. 2 hot repair station; 4: Inspection head and rotating support; 5: Control and data processing system; 6: Upper-level MES system. Detailed Implementation
[0025] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Unless otherwise specified, the following embodiments and features can be combined with each other.
[0026] The accompanying drawings are for illustrative purposes only and are schematic diagrams, not actual pictures. They should not be construed as limiting the invention. To better illustrate the embodiments of the invention, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product dimensions. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.
[0027] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of the present invention, it should be understood that if terms such as "upper," "lower," "left," "right," "front," and "rear" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting the present invention. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.
[0028] Example 1 like Figure 1 As shown, the present invention provides a special intelligent detection and life management system for steel ladle skateboards, including a non-open-lid detection module, a multi-sensor fusion unit, an intelligent life prediction module, an intelligent control unit, and a data storage and interaction module.
[0029] The non-opening detection module employs an integrated detection head, which is integrally encapsulated in thickened stainless steel. The interior is filled with high-temperature resistant insulation material, achieving an IP67 protection rating and capable of withstanding the thermal radiation environment of 800~1200℃ for extended periods. The detection head integrates a force feedback detection component, an infrared thermal imaging component, an acoustic detection component, and a visual detection component within a single high-temperature resistant head, enabling synchronous and coordinated data acquisition. The detection head achieves flexible contact with the outer shell of the steel ladle's sliding nozzle mechanism 1 via a high-temperature resistant elastic buffer, with the contact pressure precisely and stably maintained at 0.5~0.8MPa by a force feedback closed-loop control. The detection head is mounted on a detection head and rotating bracket 4.
[0030] The force feedback detection component uses a thin-film high-temperature resistant pressure sensor with an 8×8 array probe layout, covering only the core contact area of the skateboard, enabling efficient acquisition of contact and surface pressure distribution data. The infrared thermal imaging component uses a high-resolution compact infrared thermal imager with a temperature range of 0℃~1500℃, used to detect abnormal temperature distribution inside the skateboard caused by hidden cracks or concealed steel leakage. The acoustic detection component uses a high-temperature ultrasonic probe with a center frequency of 2.5MHz to detect the depth and distribution of internal cracks. The visual inspection component uses a high-resolution industrial camera and a long-focal-length high-temperature resistant lens to acquire images of surface defects in the outer shell of the skateboard mechanism and the sprue area. All four components are designed for high temperatures and equipped with an integrated dustproof and smoke-proof protective cover to adapt to the hot environment of the ladle.
[0031] The inspection head and rotating bracket 4 are fixedly installed between the two hot repair stations, molten steel ladle 2 at hot repair station 1 and molten steel ladle 3 at hot repair station 2, enabling shared use of both stations. The inspection head and rotating bracket 4 can rotate 360° and have a telescopic range suitable for 100~300t ladles.
[0032] The multi-sensor fusion unit is electrically connected to the non-open-cover detection module. For the high-temperature dust environment of steelmaking, it employs a Kalman filter combined with a spatiotemporal alignment noise reduction fusion algorithm to perform noise reduction, calibration, and fusion processing on the collected data, outputting standardized slide plate status results. The intelligent life prediction module is electrically connected to the multi-sensor fusion unit and has a built-in dedicated prediction model coupled with steelmaking process parameters. The intelligent control unit is electrically connected to the multi-sensor fusion unit, the intelligent life prediction module, and the data storage and interaction module, respectively, to achieve closed-loop control of the entire process from detection to prediction, recording, and traceability. The intelligent control unit uses a high-reliability industrial-grade PLC with a built-in safety interlock module, and the data storage and interaction module uses an industrial-grade solid-state drive, which can interface with the upper-level MES system.
[0033] The specific workflow of this embodiment is as follows: S1. System power-on initialization: The intelligent control unit first executes the self-test program of each module, sequentially checking the communication status of the force feedback detection component, infrared thermal imaging component, acoustic detection component, and visual detection component, as well as the mechanical locking status of the detection head and rotating support 4. After confirming that everything is normal, it enters standby mode. Subsequently, the intelligent control unit reads the current ladle number to be detected, retrieves the historical steelmaking process data and slide parameter data of the ladle from the data storage and interaction module, and queries the preset parameter mapping table according to the ladle tonnage and steel type information. It automatically matches the corresponding life prediction model parameter set and detection parameters, including the frame rate of the infrared thermal imaging component, the scanning frequency of the acoustic detection component, the activation area of the force feedback probe array, and the target value of the contact pressure.
[0034] S2. The ladle remains in a horizontal, hot state, and the non-opening detection module is activated. The intelligent control unit drives the detection head and rotating bracket 4 to rotate to the target position and extend to a preset distance. The integrated detection head slowly approaches the outer shell of the sliding gate mechanism 1 of the molten steel ladle at a low speed. During the approach, the force feedback detection component monitors the contact pressure in real time. When the pressure reaches a set threshold, it enters a closed-loop control mode, precisely and stably controlling the contact pressure at 0.5~0.8MPa. At this time, the force feedback detection component, infrared thermal imaging component, acoustic detection component, and visual inspection component simultaneously start data acquisition: the force feedback detection component uses an array of probes to collect surface pressure distribution data in the core contact area of the sliding plate; the infrared thermal imaging component continuously acquires multiple frames of temperature distribution images; the acoustic detection component emits ultrasonic waves and receives reflected signals to detect crack depth; and the visual inspection component captures high-definition images for surface defect identification. The entire process does not require opening the sliding plate mechanism, achieving non-opening full-state data acquisition while the ladle is horizontal and hot.
[0035] S3. The multi-sensor fusion unit receives the raw data collected synchronously by the four components. First, it uses the Kalman filter algorithm to remove noise caused by high-temperature dust and flue gas. Then, it performs spatiotemporal calibration and multi-source data alignment. Finally, it outputs a standardized skateboard integrated state feature vector through a weighted fusion algorithm.
[0036] The S4 intelligent life prediction module receives standardized state feature vectors and current steelmaking process parameters, inputs them into a built-in dedicated prediction model, completes the prediction of the remaining life of the slide plate, and outputs the risk level.
[0037] S5. The intelligent control unit implements tiered control based on risk level: when the risk level is safe, the ladle is allowed to continue to be used and a release instruction is generated; when the risk level is downgraded, a re-inspection reminder is issued after each heat of steel is poured; when the risk level is immediate replacement, the safety interlock module automatically triggers an audible and visual alarm and interlocks to prohibit ladle release. Simultaneously, the original detection data, fusion results, predicted data, risk levels, and corresponding steelmaking process parameters of the entire process are synchronously archived to the data storage and interaction module and uploaded to the upper-level MES system via Ethernet. The intelligent life prediction model uses this detection data to complete a self-learning iterative optimization, providing more accurate model parameters for subsequent predictions.
[0038] Example 2 like Figure 1 As shown, this embodiment focuses on the dual-station shared design of the inspection head and rotating support, as well as its adaptability to different tonnage ladles and different steel grades.
[0039] The inspection head and rotating support 4 are fixedly installed at the geometric midpoint between molten steel ladle 2 at hot repair station 1 and molten steel ladle 3 at hot repair station 2. The bottom is securely connected via expansion bolts using a fixed base, ensuring stability and not occupying the operating space of either station. The inspection head and rotating support 4 are made of lightweight, high-temperature resistant metal materials and equipped with a high-precision rotary drive unit and a multi-stage telescopic drive arm, enabling 360° free rotation and flexible extension / retraction. The extension / retraction range covers 1-3 meters, adaptable to ladles of different specifications from 100 to 300 tons.
[0040] The specific workflow of this embodiment is as follows: S1. After system power-on initialization, the intelligent control unit completes self-tests of each module. When it receives the inspection task for steel ladle 2 at hot repair station 1, the intelligent control unit first reads the ladle number and retrieves the ladle's tonnage, steel type, and historical parameter information from the data storage and interaction module. Then, it queries the preset parameter mapping table, automatically determines the reference value for the support extension length based on the tonnage information, and automatically matches the detection parameter set (including the frame rate of the infrared thermal imaging component, the scanning frequency of the acoustic detection component, etc.) and the life prediction model parameter set based on the steel type information.
[0041] S2. The intelligent control unit drives the inspection head and rotating bracket 4 to rotate to the direction of hot repair station 1 and extend to the matching length. The integrated inspection head slowly approaches the outer shell of the sliding nozzle mechanism 1 of the molten steel ladle, achieving flexible contact through a high-temperature resistant elastic buffer and stabilizing the contact pressure at 0.5~0.8MPa. Subsequently, the four components synchronously collect data, realizing full-state inspection without opening the lid when the ladle is lying down in a hot state. After completing the inspection and resetting at station 1, the intelligent control unit immediately controls the inspection head and rotating bracket 4 to rotate rapidly (with high rotational positioning accuracy) and extend to the position of molten steel ladle 3 at hot repair station 2. The entire station switching process is efficient and fast, enabling the same inspection head to serve two hot repair stations.
[0042] For steel ladles of different tonnages from 100 to 300 tons, the specific adaptation operation of the intelligent control unit is as follows: After reading the tonnage parameters of the steel ladle, the corresponding target values of the telescopic length, rotation angle, and head approach speed are extracted from the parameter mapping table; combined with real-time feedback from the position sensors installed on the support, closed-loop control is used to drive the telescopic arm to precise positioning, ensuring that the detection head is always aligned with the core slide plate area of the sliding nozzle mechanism 1 of the molten steel ladle. For special steels with strong corrosiveness, such as high-manganese steel and ultra-low carbon steel, the intelligent control unit automatically increases the frame rate of the infrared thermal imaging component and the scanning frequency of the acoustic detection component according to the steel type identification, while appropriately increasing the sampling density of the force feedback detection component to more sensitively capture defects such as early micro-cracks and hidden steel migration.
[0043] Steps S3 to S5 are the same as in Example 1. The multi-sensor fusion unit completes data processing, the intelligent life prediction module completes life prediction and risk assessment, and the intelligent control unit performs hierarchical management and completes data archiving and uploading.
[0044] This embodiment describes in detail the installation layout of the testing head and rotating bracket 4, the specific control process for rapid switching between dual workstations, the automatic matching steps for the extension and retraction lengths of steel ladles of different tonnages, the dynamic adjustment mechanism for testing parameters of special steel grades, and the horizontal hot non-opening testing method.
[0045] Example 3 like Figure 1 As shown, this embodiment further details the self-learning optimization mechanism, risk classification and control process, and interaction process with the upper-level MES system of the intelligent life prediction module.
[0046] The control and data processing system 5 integrates a multi-sensor fusion unit, an intelligent life prediction module, an intelligent control unit, and a data storage and interaction module. The intelligent control unit uses a high-reliability industrial-grade PLC, and the data storage and interaction module uses an industrial-grade solid-state drive. It achieves real-time bidirectional communication with the upper-level MES system 6 via an industrial Ethernet network.
[0047] The specific workflow of this embodiment is as follows: Steps S1 to S3 are the same as in Example 1, completing non-open-cover detection, multi-sensor fusion processing, and outputting standardized skateboard comprehensive status results.
[0048] The S4 intelligent life prediction module receives standardized state feature vectors and current steelmaking process parameters (steel grade, casting temperature, number of consecutive castings, number of oxygen firings, slide plate material, etc.), inputs them into the built-in dedicated prediction model, calculates the predicted value of the remaining life of the slide plate, and determines the risk level.
[0049] S5. The intelligent control unit implements graded control based on risk level: when the risk level is safe, the ladle is allowed to continue to be used and a release instruction is generated; when the risk level is downgraded, the system automatically marks the ladle and issues a re-inspection reminder through the HMI interface and MES system 6 after each heat of steel is poured; when the risk level is immediate replacement, the safety interlock module immediately triggers an audible and visual alarm, and simultaneously interlocks to prohibit the ladle from being hoisted and released, preventing ladles with major safety defects from entering the production process. Simultaneously, all original detection data, fusion results, predicted data, risk levels, and steelmaking process parameters are synchronously archived to the data storage and interaction module and uploaded to the superior MES system 6 in real time.
[0050] The self-learning optimization process of the intelligent lifespan prediction module is as follows: First, the system stores the standardized state feature vector, steelmaking process parameters, and the remaining lifespan of the ladle slide plate from this inspection into the data storage and interaction module. When the ladle slide plate is actually used until replacement, the upper-level MES system 6 feeds back real data such as the actual replacement heats and the final operating conditions to this system in real time. The intelligent lifespan prediction module extracts the deviation between the current prediction value and the actual replacement heats, and combines it with the historical inspection dataset (including multiple inspection records, corresponding process parameters, and actual lifespan data) to form training samples. Then, the backpropagation algorithm is used to calculate the gradient of each coupling parameter (steel grade weight, temperature influence coefficient, continuous casting heats influence factor, oxygen burning times influence factor, etc.) and iteratively corrects the model weight coefficients. Finally, the model parameter library is updated and the optimized model version is saved, realizing continuous adaptation and optimization for different steel grades, different slide plate materials, and different steelmaking conditions.
[0051] Through the aforementioned self-learning mechanism, the model's prediction accuracy gradually improves with increasing usage, effectively solving the problem of disconnect between life prediction and actual operating conditions in existing technologies.
[0052] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.
Claims
1. A dedicated intelligent detection and lifespan management system for steel ladle skateboards, characterized in that: It includes a non-opening detection module, a multi-sensor fusion unit, an intelligent life prediction module, an intelligent control unit, and a data storage and interaction module; The non-opening detection module adopts an integrated detection head, which integrates a force feedback detection component, an infrared thermal imaging component, an acoustic detection component, and a visual detection component into the same high-temperature resistant head. The four components synchronously and collaboratively collect data. The detection head makes flexible contact with the outer shell of the sliding plate mechanism through a high-temperature resistant elastic buffer, with the contact pressure controlled at 0.5~0.8MPa. The detection head is mounted on a rotatable and telescopic bracket. The multi-sensor fusion unit is electrically connected to the non-open cover detection module, and optimizes the noise reduction fusion algorithm for the high-temperature dust environment of steelmaking, processes the detection data and outputs standardized status results. The intelligent life prediction module is electrically connected to the multi-sensor fusion unit and has a built-in dedicated prediction model that couples steelmaking process parameters. The intelligent control unit is electrically connected to the multi-sensor fusion unit, the intelligent life prediction module, and the data storage and interaction module, respectively, to realize closed-loop control of the entire process of detection-prediction-recording-traceability.
2. The intelligent detection and life management system for steel ladle skateboards according to claim 1, characterized in that: The force feedback detection component uses an array of probes that only cover the core contact area of the skateboard.
3. The intelligent detection and life management system for steel ladle skateboards according to claim 1, characterized in that: The rotatable telescopic bracket is fixedly installed between two hot repair stations, enabling the dual stations to be used together; the bracket can rotate 360° and its telescopic range is adapted to 100~300t steel ladles.
4. The intelligent detection and life management system for steel ladle skateboards according to claim 1, characterized in that: The intelligent life prediction module has a self-learning optimization function, which can correct the model parameters by combining historical detection data, actual furnace replacement times, and steelmaking process data.
5. The intelligent detection and life management system for steel ladle skateboards according to claim 1, characterized in that: The intelligent control unit has a built-in safety interlock module that automatically alarms when a major safety defect in the skateboard is detected; the data storage and interaction module can be connected to the steel plant's MES system.
6. The intelligent detection and life management system for steel ladle skateboards according to any one of claims 1 to 5, characterized in that: The non-open-cover detection module is adapted to the hot working condition of a steel ladle lying down, and can obtain full-state data of the slide plate without opening the cover.
7. A method for intelligent detection and lifespan management of steel ladle slide plates, based on the system according to any one of claims 1 to 6, characterized in that: Includes the following steps: S1. System initialization: The intelligent control unit completes self-tests of each module, adjusts the rotatable and telescopic bracket to align with the detection position of the horizontal ladle slide plate, and retrieves historical steelmaking process and slide plate parameter data. S2. The force feedback detection component, infrared thermal imaging component, acoustic detection component and visual detection component of the non-opening detection module simultaneously collect data on the sliding plate fit, temperature distribution, crack depth and surface defects under the hot state of the steel ladle lying down. S3. The multi-sensor fusion unit performs noise reduction, calibration, and fusion processing on the collected data, and outputs standardized skateboard state results; S4. The intelligent life prediction module combines a dedicated model with coupled steelmaking process parameters to predict the remaining life of the slide plate and determine the risk level. S5. The intelligent control unit performs hierarchical management based on risk level, synchronously archives data from the entire process, and the intelligent life prediction model completes self-learning and iterative optimization.
8. The intelligent detection and lifespan management method for steel ladle slides according to claim 7, characterized in that: The risk levels are divided into three levels: safe, downgraded use, and immediate replacement. Downgraded use requires re-inspection after each heat of steel is poured, while immediate replacement triggers an interlock alarm directly.
9. The intelligent detection and lifespan management method for steel ladle slide plates according to claim 7, characterized in that: The intelligent life prediction model continuously corrects the prediction results by adding historical detection data and actual working condition data, adapting to the differences in working conditions of different steel types and skateboard materials.