Multifunctional anti-accident early warning system for strip steel

Abstract

The invention provides a multifunctional anti-accident early warning system for strip steel, which relates to the technical field of strip steel rolling and comprises a production line for producing strip steel, a monitoring module arranged on the production line and a control module electrically connected with the monitoring module. The production line comprises an uncoiler, a welding machine, a rolling mill and a coiler which are sequentially connected through a stepping beam, and the monitoring module comprises a coiling monitoring module arranged on the side, away from the welding machine, of the uncoiler, a defect monitoring module arranged between the uncoiler and the rolling mill and an outlet quality monitoring module arranged between the rolling mill and the coiler. The monitoring module is applied to the strip steel production line, so that the accuracy and the timeliness of production monitoring are remarkably improved, production accidents are reduced, the labor cost is reduced, the product quality and the production automation level are improved, and remarkable technical advantages and application prospects are achieved.

Description

Technical Field

[0001] The present application relates to the technical field of strip steel rolling, and in particular to a multifunctional strip steel accident prevention and early warning system. Background Art

[0002] Strip steel is a narrow and long steel plate produced by various steel rolling enterprises to meet the needs of industrialized production of various metal or mechanical products in different industrial sectors. Strip steel has the advantages of high dimensional accuracy, good surface quality, easy production, and material saving, and is widely used in the manufacture of various metal or mechanical products. In order to ensure the production quality of strip steel and the safety of the production process, the production process of strip steel needs to be monitored in real time.

[0003] However, at present, each workstation in the strip steel production process relies solely on manual monitoring for monitoring and operation. This traditional monitoring method has many defects and shortcomings. First, the method of relying on manual monitoring consumes a lot of human resources and increases production costs. Secondly, the manual monitoring method is prone to problems such as fatigue and negligence when facing the high-intensity and long-term working environment in the strip steel production process, resulting in untimely or inadequate monitoring, thereby increasing the risk of production accidents. In addition, since the strip steel production process involves multiple links and complex operating procedures, it is difficult to ensure that each link can detect and handle potential faults and abnormalities in a timely manner by relying solely on manual monitoring, which can easily lead to unstable production quality and accidents. These problems not only affect production efficiency, but may also pose a serious threat to production equipment and personnel safety. Summary of the invention

[0004] The purpose of this application is to provide a multifunctional steel strip accident prevention warning system to address the deficiencies in the above-mentioned prior art.

[0005] To achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:

[0006] In one aspect of an embodiment of the present application, a multifunctional early warning system for preventing accidents of strip steel is provided, comprising a production line for producing strip steel, a monitoring module arranged in the production line, and a control module electrically connected to the monitoring module;

[0007] The production line includes an uncoiler, a welding machine, a rolling mill and a coiler connected in sequence via a walking beam, and the monitoring module includes a coiling monitoring module arranged on the side of the uncoiler away from the welding machine, a defect monitoring module arranged between the uncoiler and the rolling mill, and an export quality monitoring module arranged between the rolling mill and the coiler;

[0008] The coil monitoring module is used to collect a first image of the steel coil before coiling, and the control module is used to obtain width information, diameter information and / or position information of the steel coil on the walking beam before coiling according to the first image;

[0009] The defect monitoring module is used to collect the second image of the steel coil after being rolled up, and the control module is used to obtain the defect information of the steel coil after being rolled up according to the second image;

[0010] The export quality monitoring module is used to collect the third image of the produced strip steel, and the control module is used to obtain the surface quality information of the produced strip steel according to the third image.

[0011] Optionally, the production line also includes a centering device located between the uncoiler and the rolling mill, the centering device being used to align the center line of the steel coil located at the inlet of the welding machine with the center line of the steel coil located at the outlet of the welding machine, the monitoring module also includes a welding monitoring module arranged on the centering device, the welding monitoring module being used to collect a fourth image of two adjacent steel coils located at the inlet and outlet of the welding machine, and the control module being used to obtain alignment information between two adjacent steel coils located at the inlet and outlet of the welding machine according to the fourth image.

[0012] Optionally, the production line also includes a disc shear located between the welding machine and the rolling mill, the disc shear is used to cut the steel coil after winding and form waste edges, the monitoring module also includes a steel jam monitoring module arranged at the outlet of the disc shear, the steel jam monitoring module is used to collect the fifth image of the waste edge, and the control module is used to obtain the steel jam information of the waste edge according to the fifth image.

[0013] Optionally, the monitoring module further includes a temperature monitoring module arranged at the rolling mill, the temperature monitoring module is used to collect a sixth image of the temperature of the rolling mill, and the control module is used to obtain the temperature information of the rolling mill according to the sixth image.

[0014] Optionally, the defect monitoring module includes an edge crack monitoring sub-module and a scar monitoring sub-module respectively arranged on opposite sides of the welding machine along the production line direction, the second image includes an edge crack image collected by the edge crack monitoring sub-module and a scar image collected by the scar monitoring sub-module, and the control module is used to obtain edge crack information of the steel coil after winding up according to the edge crack image and to obtain scar information of the steel coil after winding up according to the scar image.

[0015] Optionally, the multifunctional strip steel accident prevention warning system also includes a warning module electrically connected to the control module, and the control module is also used to control the start or stop of the warning module according to the acquired position information, defect information and surface quality information.

[0016] Another aspect of the embodiment of the present application provides a multifunctional strip steel accident prevention warning method, the strip steel accident prevention warning system includes a production line, the production line includes a walking beam, the method is applicable to any of the above-mentioned strip steel accident prevention warning systems, the method includes:

[0017] Capturing a first image of the steel coil before being rolled up, and acquiring width information, diameter information and / or position information of the steel coil on the walking beam before being rolled up according to the first image;

[0018] collecting a second image of the rolled steel coil, and obtaining defect information of the rolled steel coil according to the second image;

[0019] A third image of the produced steel strip is collected, and surface quality information of the produced steel strip is obtained according to the third image.

[0020] Optionally, the production line further comprises a welding machine, and the method further comprises:

[0021] A fourth image of two adjacent steel coils located at an entrance and exit of the welding machine is collected, and alignment information between the two adjacent steel coils located at the entrance and exit of the welding machine is obtained according to the fourth image.

[0022] Optionally, the production line further comprises a disc shear, which shears the coiled steel coil and forms waste edges, and the method further comprises:

[0023] A fifth image of the scrap edge is collected, and information on the stuck steel in the scrap edge is obtained according to the fifth image.

[0024] Optionally, the production line further comprises a rolling mill, and the method further comprises:

[0025] A sixth image of the temperature of the rolling mill is collected, and temperature information of the rolling mill is acquired according to the sixth image.

[0026] The beneficial effects of this application include:

[0027] The present application provides a multifunctional early warning system for preventing accidents of steel strips, including a production line for producing steel strips, a monitoring module arranged on the production line, and a control module electrically connected to the monitoring module. The production line includes an unwinder, a welding machine, a rolling mill, and a winding machine connected in sequence via a stepping beam. The steel coil passes through a series of production lines such as an unwinder, a welding machine, and a rolling mill, and is finally rolled into a steel strip. The monitoring module includes a coil monitoring module arranged on the side of the unwinder away from the welding machine, a defect monitoring module arranged between the unwinder and the rolling mill, and an export quality monitoring module arranged between the rolling mill and the winding machine.

[0028] The coil monitoring module is used to collect the first image of the steel coil before coiling. The control module obtains the width information, diameter information and / or position information of the steel coil on the walking beam before coiling by analyzing the first image. It can effectively prevent the wrong coil production and the steel coil from flipping over during the transportation process, thereby ensuring the stability and safety of the production process.

[0029] The defect monitoring module is set between the uncoiler and the rolling mill to collect the second image of the coil after winding. By analyzing the second image, the control module can obtain various defect information of the coil during the production process, such as edge cracks, scarring, etc. By timely monitoring and processing these defects, it is possible to avoid strip breakage or quality problems caused by defects in subsequent processes, thereby improving the overall quality of the product.

[0030] The export quality monitoring module is set between the rolling mill and the coiler to collect the third image of the finished strip. The control module obtains the surface quality information of the strip by analyzing the third image, including quality defects such as roller marks, scars, and scratches. By monitoring the quality of the final product, it can ensure that the surface quality of the strip meets the standard requirements and provide reliable quality assurance for subsequent processes.

[0031] In summary, the multifunctional strip steel accident prevention warning system significantly improves the accuracy and timeliness of production monitoring by applying visual inspection equipment to the strip steel production line, reduces the occurrence of production accidents, reduces labor costs, improves product quality and production automation level, and has significant technical advantages and application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 One of the structural schematic diagrams of a multifunctional steel strip accident prevention warning system provided in an embodiment of the present application;

[0034] Figure 2 A second structural diagram of a multifunctional steel strip accident prevention warning system provided in an embodiment of the present application;

[0035] Figure 3 A third structural diagram of a multifunctional steel strip accident prevention warning system provided in an embodiment of the present application;

[0036] Figure 4 A fourth structural diagram of a multifunctional steel strip accident prevention warning system provided in an embodiment of the present application;

[0037] Figure 5 A flow chart of a multifunctional steel strip accident prevention and warning method provided in an embodiment of the present application.

[0038] Icons: 10-stepping beam; 11-uncoiler; 12-welding machine; 13-pickling tank; 14-rinsing tank; 15-disc shear; 16-rolling mill; 17-coiler; 18-pinch roller; 19-plate roller; 20-coiling monitoring module; 21-edge crack monitoring submodule; 22-welding monitoring module; 23-scar monitoring submodule; 24-steel jam monitoring module; 25-temperature monitoring module; 26-export quality monitoring module. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0040] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for protection, but merely represents selected embodiments of the present application. It should be noted that, in the absence of conflict, the various features in the embodiments of the present application can be combined with each other, and the combined embodiments are still within the scope of protection of the present application.

[0041] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0042] In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, or the positions or positional relationships in which the product of the application is usually placed when in use. They are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0043] In addition, the terms "horizontal", "vertical" and the like do not mean that the components are required to be absolutely horizontal or suspended, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0044] In the description of this application, it should also be noted that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0045] In one aspect of the embodiments of the present application, a multifunctional steel strip accident prevention warning system is provided, such as Figures 1 to 4 As shown, it includes a production line for producing strip steel, a monitoring module arranged on the production line, and a control module electrically connected to the monitoring module. The production line includes an unwinder 11, a welder 12, a rolling mill 16, and a coiler 17 connected in sequence via a walking beam 10. The steel coil passes through a series of production lines such as the unwinder 11, the welder 12, the rolling mill 16, and finally is rolled into a strip steel. The monitoring module includes a coil monitoring module 20 arranged on the side of the unwinder 11 away from the welder 12, a defect monitoring module arranged between the unwinder 11 and the rolling mill 16, and an export quality monitoring module 26 arranged between the rolling mill 16 and the coiler 17.

[0046] Specifically, the roll monitoring module 20 is used to collect the first image of the steel coil before rolling, and the control module obtains the width information, diameter information and / or position information of the steel coil on the walking beam 10 before rolling by analyzing the first image, which can effectively prevent the wrong roll production and the steel coil from flipping during the transportation process, and ensure the stability and safety of the production process. In the embodiment of the present application, the roll monitoring module 20 adopts an industrial camera, which is set up on the channel line of the steel coil. The image of the steel coil is captured by the industrial camera to generate a first image. The control module then analyzes the first image to obtain the width information, diameter information and / or position information of the steel coil before rolling on the walking beam 10. The acquisition of this information ensures that the steel coil meets the predetermined requirements. For example, the target width of the steel coil is 0.5mm, the target diameter is 1mm, and the centering accuracy with the walking beam 10 should reach 1mm. Through precise image analysis, the roll monitoring module 20 can effectively prevent production problems caused by the size or position deviation of the steel coil, and ensure the stability and reliability of the production process. In addition, the roll monitoring module 20 can also use laser detection technology to further improve the detection accuracy and reliability.

[0047] The defect monitoring module is arranged between the uncoiler 11 and the rolling mill 16, and is used to collect the second image of the coil after winding. By analyzing the second image, the control module can obtain various defect information of the coil during the production process, such as edge cracks, scarring, etc. By timely monitoring and processing these defects, the strip breakage or quality problems caused by defects in the subsequent process can be avoided, and the overall quality of the product can be improved.

[0048] The export quality monitoring module 26 is arranged between the rolling mill 16 and the coiler 17, and is used to collect the third image of the finished strip. The control module obtains the surface quality information of the strip by analyzing the third image, including quality defects such as roller marks, scars, and scratches. By monitoring the quality of the final product, it can be ensured that the surface quality of the strip meets the standard requirements and provide reliable quality assurance for subsequent processes. In the embodiment of the present application, the export quality monitoring module 26 adopts an advanced visual inspection system such as a CCD machine vision system and a CMOS machine vision system to detect the full range of the strip to form a third image. The purpose of this module is to prevent the strip with surface quality defects such as roller marks, scars, and scratches from flowing into downstream customers. Through a high-precision visual inspection system, the export quality monitoring module 26 can promptly detect and mark various defects on the surface of the strip. The processing speed of the visual inspection system can reach 1500m / min, which can be adjusted according to the production speed, and the surface defect detection accuracy is as high as 1mm. Such efficient and high-precision detection can not only ensure product quality, but also trace back to the quality problems of the rollers, so as to make timely adjustments and maintenance to ensure the normal operation of the production equipment.

[0049] In summary, the multifunctional strip steel accident prevention warning system significantly improves the accuracy and timeliness of production monitoring by applying visual inspection equipment to the strip steel production line, reduces the occurrence of production accidents, reduces labor costs, improves product quality and production automation level, and has significant technical advantages and application prospects.

[0050] It should be noted that, in the production process of strip steel, the steel coil is first transported to the uncoiler 11 through the walking beam 10, and is unrolled by the unwinding machine 11 to ensure that the steel coil can smoothly enter the subsequent processing equipment. Then, the unrolled steel coil is transported to the welder 12 through the walking beam 10. The function of the welder 12 is to weld the ends of multiple steel coils together to form a continuous steel coil. After welding, the steel coil is transported to the pickling tank 13 and the rinsing tank 14 through the walking beam 10. The pickling tank 13 is used to remove the oxide scale and impurities on the surface of the steel coil to ensure that the surface of the strip steel is clean. Then, the steel coil enters the rinsing tank 14 for cleaning, further removing the acid liquid remaining in the pickling process, and ensuring that the surface of the steel coil is clean and smooth. Subsequently, the steel coil is transported to the rolling mill 16 for rolling through the walking beam 10. The rolling mill 16 is preferably a continuous rolling mill, which processes the steel coil to the required thickness and width through continuous rolling, that is, produces a strip steel that meets the requirements. Finally, the steel strip is transported to the coiler 17 through the walking beam 10. The coiler 17 rewinds the steel strip into a coil for storage and transportation. It should also be noted that the above production equipment is conventional equipment in the art, and therefore, the specific working principle and process of the above production equipment are not described in detail in the embodiments of the present application.

[0051] It should be understood that pinch rollers 18 should be provided at intervals on the production line. These pinch rollers 18 are used to stabilize and convey the steel coils, prevent the steel coils from deflecting or wrinkling during the conveying process, and ensure that the steel coils can smoothly enter the rolling mill 16 for rolling. It should also be understood that a flatness roller 19 can be provided between the rolling mill 16 and the coiler 17. The flatness roller 19 is used to optimize the strip quality, and by adjusting the flatness and flatness of the strip, ensure that the strip reaches an ideal shape before coiling.

[0052] Optionally, the defect monitoring module includes an edge crack monitoring sub-module 21 and a scar monitoring sub-module 23 respectively arranged on opposite sides of the welding machine 12 along the production line direction, the second image includes an edge crack image collected by the edge crack monitoring sub-module 21 and a scar image collected by the scar monitoring sub-module 23, and the control module is used to obtain edge crack information of the steel coil after winding according to the edge crack image and to obtain scar information of the steel coil after winding according to the scar image, so as to timely discover and deal with defects in the production process.

[0053] In an embodiment of the present application, the edge crack monitoring submodule 21 uses a 2D area array camera and is installed at a key position when the steel coil is transported at a low speed. An edge crack image is generated by imaging the edge of the steel coil after it is rolled up. The control module obtains the edge crack information of the steel coil after it is rolled up by analyzing these images. The detected edge crack problem will be handled in subsequent processes, such as slowing down or digging out the edge crack part to ensure that there will be no belt breakage accidents due to the edge crack of the steel coil. It should be noted that the detection accuracy of the 2D area array camera can reach: edge crack width 1mm, depth more than 1mm. The detection speed of the 2D area array camera is 60m / min, and this speed can be adjusted according to the production speed.

[0054] The scar monitoring submodule 23 uses a 2D line scan camera, which is mainly used to detect defects in the steel coils in the middle of the production line, such as scars, scratches and roller marks. This submodule detects and prevents abnormalities such as the steering rollers of the unit (the rollers in contact with the steel coils), promptly discovers and handles defects on the steel coils in the middle of the production line, and prevents shutdowns and failures caused by defects during the production process. It should be noted that the detection accuracy of the 2D line scan camera can reach: defect width is more than 1mm. The processing speed of the 2D line scan camera is 100m / min, which can be adjusted according to the production speed.

[0055] Optionally, in order to further improve the safety and production efficiency of strip steel production, the multifunctional anti-accident warning system for strip steel also includes an early warning module electrically connected to the control module. The core function of the early warning module is to issue early warning signals in a timely manner according to the information provided by different monitoring modules during the production process to prevent production accidents caused by potential problems. The early warning module is closely coordinated with the control module through electrical connection. The control module decides whether to start the early warning module based on the information obtained by the upper coil monitoring module 20, the defect monitoring module and the export quality monitoring module 26. The early warning module relies on the position information, edge crack information, scar information and surface quality information obtained by the control module to ensure the accuracy and timeliness of the early warning signal. When the control module detects abnormal position, edge crack, scar or surface quality problems of the steel coil or strip steel, the early warning module will start immediately, send out an early warning signal, and notify the operator to take necessary measures, or automatically adjust the production process.

[0056] In general, the early warning module can monitor and analyze various potential problems in real time during the production process, and issue early warning signals in time to prevent the problems from further deteriorating. Through timely early warning and intervention, the early warning module effectively prevents production accidents and ensures the safe operation of the production line. Through the efficient operation of the early warning module, the multifunctional early warning system for strip steel accidents has achieved all-round real-time monitoring and early warning, significantly improving the safety and production efficiency of the production line and ensuring the quality and consistency of the final product.

[0057] Optionally, the production line further includes a centering device located between the uncoiler 11 and the rolling mill 16, the centering device being used to align the center line of the steel coil located at the inlet of the welding machine 12 with the center line of the steel coil located at the outlet of the welding machine 12, so as to ensure that the steel coil remains stable during the welding process and prevents deviation or misalignment. Figure 1 As shown, the monitoring module also includes a welding monitoring module 22 arranged in the centering device. In the embodiment of the present application, the welding monitoring module 22 adopts a laser sensor, which is arranged on the clamping arm of the centering device. The steel coil is accurately detected by the laser sensor, and a fourth image of two adjacent steel coils located at the inlet and outlet of the welding machine 12 is collected. The control module obtains the alignment information between the two adjacent steel coils by analyzing the fourth image. The centering device ensures the precise alignment of the steel coils before welding. The welding monitoring module 22 performs real-time monitoring and adjustment through the laser sensor to ensure high precision and high quality during the welding process, reducing the occurrence of false welding and wrong welding.

[0058] Specifically, the centering device ensures that the center line of the steel coil is aligned during the transportation process through a precise mechanical structure and electrical control system. No matter what kind of offset the steel coil has when it is unrolled by the uncoiler 11, the steel coil can be accurately aligned before entering the welding machine 12 through the adjustment of the centering device. The welding monitoring module 22 uses a high-precision laser sensor and obtains the precise position and alignment of the steel coil at the entrance and exit of the welding machine 12 through laser scanning technology. The control module analyzes the fourth image captured by the laser sensor to ensure that the center lines of the two adjacent steel coils are completely aligned during welding, preventing problems such as warping of the strip, curling, strip head rushing out, inadequate head-to-tail docking or head-to-tail overlap, reducing strip breakage accidents caused by welding problems, and ensuring the continuity and stability of the production line. Through the precise alignment and welding monitoring of the steel coils, the welding quality is ensured, thereby improving the overall quality of the strip and providing a reliable guarantee for subsequent processes.

[0059] Alternatively, if Figure 1 As shown, the production line also includes a disc shear 15 located between the welding machine 12 and the rolling mill 16. The disc shear 15 is used to shear the steel coil after winding and form scrap edges. The scrap edges need to be further processed, so a scrap edge shear is set after the disc shear 15. The scrap edge shear is used to cut the scrap edges into pieces for easy processing and transportation. This series of shearing operations ensures that the scrap on the edge of the steel coil is effectively removed before entering the rolling mill 16, thereby improving the efficiency and quality of the subsequent rolling process. In order to prevent the scrap edges from getting stuck at the discharge port of the scrap edge shear, the monitoring module also includes a steel jam monitoring module 24 arranged at the outlet of the disc shear 15, which monitors the discharge port of the scrap edge shear in real time, generates a fifth image, and the control module analyzes the fifth image to obtain the steel jam information of the scrap edges. In this way, the accumulation and blockage of the scrap edges at the discharge port can be detected and prevented in a timely manner, ensuring the smooth operation of the production line.

[0060] Specifically, the disc shear 15 shears the edge of the steel coil by rotating the blade to form waste edges. This shearing method is efficient and accurate, and can quickly remove the excess part of the edge of the steel coil. The scrap edge shear further processes the scrap edges generated by the disc shear 15 and cuts them into small pieces. The scrap edges processed in this way are easy to remove and transport, reducing the accumulation of waste on the production line. In the embodiment of the present application, the steel jam monitoring module 24 uses a high-precision video camera, which is installed at the discharge port of the scrap edge shear to monitor the discharge of the scrap edges in real time. Through the collection and analysis of video images, the control module can promptly detect and deal with the problem of steel jamming by the scrap edges to ensure the smooth flow of the discharge port. If the amount of steel piled at the discharge port of the scrap edge shear exceeds the preset value, the control module will control the early warning module to start and send out an early warning signal. The control module can also automatically take preventive measures, such as stopping the production line, to ensure the safety of the production process.

[0061] Alternatively, if Figure 1As shown, the monitoring module also includes a temperature monitoring module 25 provided at the rolling mill 16. In the embodiment of the present application, the temperature monitoring module 25 uses an infrared camera, which can collect the temperature image of the bearing of the rolling mill 16 in real time to generate a sixth image. The control module obtains the temperature information of the rolling mill 16 by analyzing the sixth image. If an abnormal temperature is detected, the control module will take corresponding measures to prevent the bearing from being damaged by overheating, thereby preventing production accidents.

[0062] Specifically, the infrared camera should be installed at the key parts of the rolling mill 16, mainly for temperature monitoring of the bearings. The infrared camera can accurately capture the temperature changes of the bearings in a high temperature environment and generate temperature images in real time. The control module receives the sixth image transmitted by the infrared camera, and accurately obtains the temperature information of the bearing through a special image analysis algorithm. If the temperature exceeds the set safety threshold, the control module will control the early warning module to start, issue an early warning signal, and display the specific location and degree of temperature abnormality. When the temperature is abnormal, the control module can automatically take a variety of preventive measures, such as slowing down, stopping the production line, or starting the cooling device to ensure the safety of the production process. In addition, the control module can also record the data of temperature abnormalities for subsequent analysis and equipment maintenance.

[0063] In another aspect of the embodiment of the present application, a multifunctional strip steel accident prevention warning method is provided. The strip steel accident prevention warning system includes a production line, and the production line includes a walking beam 10. The method is applicable to any of the above-mentioned strip steel accident prevention warning systems, such as Figure 5 As shown, the method includes:

[0064] S1: capturing a first image of the steel coil before being rolled up, and obtaining width information, diameter information and / or position information of the steel coil on the walking beam 10 before being rolled up according to the first image;

[0065] S2: collecting a second image of the rolled steel coil, and obtaining defect information of the rolled steel coil according to the second image;

[0066] S3: collecting a third image of the produced steel strip, and obtaining surface quality information of the produced steel strip according to the third image.

[0067] Specifically, first, before the steel coil enters the production line, an industrial camera is used to capture the first image of the steel coil before rolling. By analyzing the first image, key information of the steel coil is obtained: the width of the steel coil in the first image is analyzed to ensure that it meets the production standards, the diameter of the steel coil is measured to verify whether its size is suitable for production requirements; the position of the steel coil on the stepping beam 10 is determined to ensure that its centering accuracy meets production requirements. Secondly, after the steel coil enters the production line and is unfolded, the edge crack image and scar image of the steel coil after rolling are respectively captured by a 2D area array camera and a 2D line scan camera. By analyzing the edge crack image and the scar image, defects such as edge cracks and scars of the steel coil during the production process are detected. Finally, when the strip steel production is completed and is about to enter the winding stage, the visual inspection system is used to capture the third image of the finished strip steel. By analyzing the third image, roller marks, scars, scratches and other problems on the surface of the strip steel are detected to ensure that the strip steel meets the quality standards.

[0068] In summary, the multifunctional strip steel accident prevention and early warning method provided in the embodiment of the present application forms a complete strip steel production monitoring system from monitoring before the steel coil enters the production line, to real-time monitoring during the production process, and then to quality inspection after production is completed. The monitoring and analysis of each link are interconnected and inseparable, ensuring all-round control and optimization of the production process.

[0069] Optionally, the production line further comprises a welding machine 12, and the method further comprises:

[0070] A fourth image of two adjacent steel coils located at the entrance and exit of the welding machine 12 is collected, and alignment information between the two adjacent steel coils located at the entrance and exit of the welding machine 12 is obtained according to the fourth image.

[0071] Specifically, a laser sensor is used to collect a fourth image of adjacent steel coils in real time. The fourth image records in detail the actual docking conditions of the steel coils at the welding machine 12, including the relative position of the end faces of the two steel coils, docking accuracy, and any potential docking deviations. After collecting the fourth image, the control module uses an image processing algorithm to analyze the fourth image and extract the alignment data between the steel coils. The laser image provides high-precision distance and position measurement, which can accurately reflect the docking status of the steel coils. Based on the analysis results, the control module obtains the alignment information of adjacent steel coils, including whether there is uneven docking, misalignment, or overlap. By acquiring and analyzing docking information in real time, problems in the docking of steel coils can be quickly discovered and corrected, reducing production problems caused by welding defects, such as loose welding or broken belt accidents.

[0072] Optionally, the production line further comprises a disc shear 15, which shears the coiled steel coil and forms waste edges, and the method further comprises:

[0073] A fifth image of the scrap edge is collected, and information on the stuck steel in the scrap edge is obtained according to the fifth image.

[0074] Specifically, a video camera is installed at the discharge position of the scrap edge, and the video camera can capture the image of the scrap edge in real time to provide detailed data for subsequent processing. The video camera continuously collects the fifth image of the scrap edge. These images record in detail the state of the scrap edge during the processing, including information such as the appearance and position of the scrap edge. The control module uses the image processing algorithm to analyze the fifth image and identify the specific situation of the scrap edge. The algorithm can detect whether there is steel jamming in the scrap edge, that is, whether the scrap edge is accumulated or jammed during the processing. Based on the image analysis results, the steel jamming information of the scrap edge is extracted. If the situation of steel jamming in the scrap edge is detected, the control module will control the early warning module to generate a corresponding early warning signal and record relevant data for subsequent processing and analysis.

[0075] Optionally, the production line further comprises a rolling mill 16, and the method further comprises:

[0076] A sixth image of the temperature of the rolling mill 16 is collected, and temperature information of the rolling mill 16 is acquired according to the sixth image.

[0077] Specifically, an infrared camera is installed at a key position of the rolling mill 16, usually near the bearing or other key components. The infrared camera can measure the temperature of the equipment surface without contact, convert the radiant heat into temperature data through infrared detection, and collect the sixth image of the rolling mill 16 in real time. These images record the temperature distribution of the bearings or other key components of the rolling mill 16, providing intuitive visual data for temperature monitoring. The control module uses an image processing algorithm to analyze the sixth image, and based on the image analysis results, extracts the temperature information of the bearings of the rolling mill 16, monitors the temperature of the bearings of the rolling mill 16 in real time, promptly detects equipment overheating problems, and prevents equipment damage or failures caused by overheating, thereby improving the equipment safety and reliability of the production line.

[0078] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A multifunctional early warning system for preventing accidents of steel strips, characterized in that: It comprises a production line for producing strip steel, a monitoring module arranged on the production line, and a control module electrically connected to the monitoring module; The production line comprises an uncoiler (11), a welding machine (12), a rolling mill (16) and a coiler (17) which are sequentially connected via a walking beam (10); the monitoring module comprises a coiling monitoring module (20) arranged at a side of the uncoiler (11) away from the welding machine (12), a defect monitoring module arranged between the uncoiler (11) and the rolling mill (16), and an export quality monitoring module (26) arranged between the rolling mill (16) and the coiler (17); The coiling monitoring module (20) is used to collect a first image of the steel coil before coiling, and the control module is used to obtain width information, diameter information and / or position information of the steel coil on the walking beam (10) before coiling according to the first image; The defect monitoring module is used to collect a second image of the steel coil after being rolled up, and the control module is used to obtain defect information of the steel coil after being rolled up according to the second image; The export quality monitoring module (26) is used to collect a third image of the produced steel strip, and the control module is used to obtain surface quality information of the produced steel strip based on the third image.

2. The multifunctional steel strip accident prevention warning system according to claim 1 is characterized in that: The production line further comprises a centering device located between the uncoiler (11) and the rolling mill (16), the centering device being used to align the center line of the steel coil located at the inlet of the welding machine (12) with the center line of the steel coil located at the outlet of the welding machine (12), the monitoring module further comprising a welding monitoring module (22) arranged on the centering device, the welding monitoring module (22) being used to collect a fourth image of two adjacent steel coils located at the inlet and outlet of the welding machine (12), and the control module being used to obtain alignment information between two adjacent steel coils located at the inlet and outlet of the welding machine (12) according to the fourth image.

3. The multifunctional steel strip accident prevention warning system according to claim 1 or 2, characterized in that: The production line further comprises a disc shear (15) located between the welding machine (12) and the rolling mill (16), the disc shear (15) being used to shear the steel coil after winding and form a scrap edge, the monitoring module further comprises a steel jam monitoring module (24) arranged at the outlet of the disc shear (15), the steel jam monitoring module (24) being used to collect a fifth image of the scrap edge, and the control module being used to obtain steel jam information of the scrap edge according to the fifth image.

4. The multifunctional steel strip accident prevention warning system according to claim 1 or 2, characterized in that: The monitoring module further comprises a temperature monitoring module (25) arranged on the rolling mill (16), the temperature monitoring module (25) being used to collect a sixth image of the temperature of the rolling mill (16), and the control module being used to obtain temperature information of the rolling mill (16) based on the sixth image.

5. The multifunctional steel strip accident prevention warning system according to claim 1 or 2, characterized in that: The defect monitoring module comprises an edge crack monitoring submodule (21) and a scar monitoring submodule (23) respectively arranged on opposite sides of the welding machine (12) along the production line direction; the second image comprises an edge crack image collected by the edge crack monitoring submodule (21) and a scar image collected by the scar monitoring submodule (23); the control module is used to obtain edge crack information of the steel coil after winding up according to the edge crack image and to obtain scar information of the steel coil after winding up according to the scar image.

6. The multifunctional steel strip accident prevention warning system according to claim 1 or 2, characterized in that: The multifunctional steel strip accident prevention warning system also includes a warning module electrically connected to the control module, and the control module is also used to control the start or stop of the warning module according to the acquired position information, defect information and surface quality information.

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