Automatic processing system for strip edge wire tearing and blocking failure

Abstract

The application discloses a strip steel edge wire tearing and blocking fault automatic processing system, which comprises a tearing subsystem, a blanking subsystem, a waste conveying subsystem, a monitoring subsystem, an expert subsystem and an interactive subsystem. The tearing subsystem is used for tearing the edge wire generated by a disc shear. The blanking subsystem is used for guiding the edge wire generated by the disc shear into the tearing subsystem. The waste conveying subsystem is used for conveying the waste generated by the tearing subsystem to a specified area. The monitoring subsystem is used for monitoring the falling of the edge wire at the blanking subsystem and the falling of the waste at the outlet of the tearing subsystem. The expert subsystem is used for judging whether the blocking occurs according to the information collected by the monitoring subsystem, and sending an action instruction to the tearing subsystem to make the tearing subsystem execute the action of eliminating the blocking, and improving the automatic processing efficiency of the blocking fault through self-learning. The interactive subsystem is used for manually controlling the tearing subsystem. The system can automatically judge the blocking condition of the edge wire and automatically process the blocking, and can improve the automatic processing efficiency of the blocking through self-learning.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of strip steel edge wire processing, and particularly relates to a strip steel edge wire tearing and blocking fault automatic processing system. BACKGROUND

[0002] Compared with other common edge wire processing systems, the strip steel edge wire tearing system has a wider application range, can effectively process thinner and thicker plates, has better stability and is not prone to blocking. Even if blocking occurs, the system has a large storage space and a certain maintenance time, so the overall impact on the production line is small.

[0003] However, in production, there are often unavoidable random reasons, such as foreign matter falling into the tearing machine, poor distribution of edge wires at the tearing machine inlet, etc. Sometimes, the tearing machine may be blocked. SUMMARY

[0004] The application aims to provide a strip steel edge wire tearing and blocking fault automatic processing system, which can automatically judge the edge wire blocking condition and automatically process when blocking occurs, ensuring the working stability of the strip steel edge wire processing process. In addition, the automatic processing efficiency of the blocking fault can be improved through self-learning, realizing intelligentization. Moreover, the function of manually controlling the tearing subsystem is reserved, ensuring reliability.

[0005] The technical solution adopted by the application is as follows:

[0006] A strip steel edge wire tearing and blocking fault automatic processing system comprises:

[0007] A tearing subsystem is used to tear the edge wires generated by the disc shear;

[0008] A material falling subsystem is used to guide the edge wires generated by the disc shear into the tearing subsystem;

[0009] A waste conveying subsystem is used to convey the waste generated by the tearing subsystem to a specified area;

[0010] A monitoring subsystem is used to monitor the falling condition of the edge wires at the material falling subsystem and the falling condition of the waste at the outlet of the tearing subsystem;

[0011] An expert subsystem is used to determine whether blocking occurs according to the information collected by the monitoring subsystem, and to send a motion instruction to the tearing subsystem to make the tearing subsystem execute the action of eliminating the blocking when blocking occurs, and to improve the automatic processing efficiency of the blocking fault through self-learning;

[0012] An interactive subsystem is used to manually control the tearing subsystem.

[0013] The monitoring subsystem monitors in the form of image acquisition, and the expert subsystem comprises:

[0014] An image recognition module is configured to analyze the monitoring image of the edge wire falling condition to identify whether the edge wire falls in the current image, and analyze the monitoring image of the waste falling condition to identify whether the waste falls in the current image.

[0015] A decision module is configured to receive the information from the image recognition module, determine whether the current system is in the working state according to whether the edge wire falls, determine whether the current system is in the blocked state according to whether the waste falls, and send a motion instruction to the shredding subsystem to make the shredding subsystem execute the action of eliminating the blockage when the system is in the blocked state.

[0016] A storage module is configured to store the monitoring data and processing data of the whole system before, during and after the blockage.

[0017] A learning module is configured to learn the data in the storage module and optimize the parameters in the decision module, thereby improving the automatic processing efficiency of the blockage fault.

[0018] The working method of the system comprises the following steps:

[0019] Step 1: The monitoring subsystem continuously photographs the edge wire falling condition and the waste falling condition.

[0020] Step 2: The image recognition module analyzes the monitoring image of the edge wire falling condition to identify whether the edge wire falls in the current image, and analyzes the monitoring image of the waste falling condition to identify whether the waste falls in the current image.

[0021] Step 3: The decision module receives the information from the image recognition module, determines whether the current system is in the working state according to whether the edge wire falls, and determines whether the current system is in the blocked state according to whether the waste falls. th

[0022] Step 4: If the decision module determines that the current system is in the blocked state, step 5 is executed; if the decision module determines that the current system is in the unblocked state, the number n of times of sending the motion instruction by the decision module to the shredding subsystem is reset to 0, and the process returns to step 2.

[0023] Step 5: The decision module sends a motion instruction to the shredding subsystem to make the shredding subsystem reverse for t time and then rotate forward to eliminate the blockage, and the number n of times of sending the motion instruction by the decision module to the shredding subsystem is increased by 1.

[0024] Step 6: If the number n of times of sending the motion instruction by the decision module to the shredding subsystem is greater than the threshold n max ​The interactive subsystem issues an alarm, indicating that the current material blockage is severe and requires manual intervention; otherwise, it returns to step 2.

[0025] The expert subsystem's self-learning method during operation includes the following steps:

[0026] Step 1) Continuously record monitoring and processing data. If no blockage occurs, delete the record. rec Previous data, where t rec This is the data storage time prior to the fault. If a blockage occurs, the storage module stores information on the edge wire falling before the blockage, during the blockage, and after the blockage is cleared, as well as information on the waste material falling and the threshold number of action commands n. max No waste falling time t th The shredding subsystem's reverse time t;

[0027] Step 2) The learning module optimizes the accuracy of material blockage detection and the material blockage handling time, setting a threshold n for the number of action commands. max No waste falling time t th Optimize the shredding subsystem's reverse time t;

[0028] Step 3) Write the optimized parameters into the decision module and apply them in subsequent work processes.

[0029] Preferably, the interactive subsystem includes a display screen and a manual operation panel. The display screen is used to show the falling status of the shredder wire and the falling status of the waste material in real time, and the manual operation panel can control the shredding subsystem at any time.

[0030] Preferably, the shredding subsystem includes a cutter shaft, blades, spacers, a housing, a bracket, and a power module; the power module and the housing are mounted on the bracket, the cutter shaft, blades, and spacers are all mounted in the housing, the blades and spacers are staggered on the cutter shaft, the blades on adjacent cutter shafts are staggered, the power module is connected to the cutter shaft and is used to drive the cutter shaft to rotate, and the staggered blades on adjacent cutter shafts can shred the falling edge fibers.

[0031] Preferably, the feeding subsystem is a through channel made of wear-resistant material, with the inlet of the through channel connected to the outlet of the disc shear and the outlet connected to the inlet of the shredding subsystem.

[0032] Preferably, the waste conveying subsystem includes a conveyor belt and a waste cart, with the inlet area of ​​the conveyor belt connected to the outlet of the shredding subsystem and the outlet area being received by the waste cart.

[0033] The beneficial effects of this invention are:

[0034] The system can automatically judge the blocking condition of the edge wire and automatically process when blocking, ensure the working stability of the edge wire processing process of the strip steel, and improve the automatic processing efficiency of the blocking fault through self-learning, realize the intelligentization, and reserve the function of manually controlling the tearing and shredding subsystem, and ensure the reliability. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 is a hardware schematic diagram of the strip steel edge wire tearing and shredding blocking fault automatic processing system in the embodiment of the application.

[0036] Figure 2 is a running flow chart of the strip steel edge wire tearing and shredding blocking fault automatic processing system in the embodiment of the application.

[0037] In the figure: 1-feeding subsystem; 2-tearing and shredding subsystem; 3-waste conveying subsystem; 4-monitoring subsystem; 41-inlet monitoring module; 42-outlet monitoring module. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical scheme and advantages of the embodiments of the application clearer, the technical scheme in the embodiments of the application will be described clearly and completely below in combination with the drawings in the embodiments of the application. Obviously, the described embodiments are part of the embodiments of the application, rather than all the embodiments. The components of the embodiments of the application described and shown in the drawings herein can be arranged and designed in various different configurations.

[0039] Therefore, the following detailed description of the embodiments of the application provided in the drawings is not intended to limit the scope of the claimed application, but only represents selected embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of protection of the application.

[0040] The features and performances of the application are further described in detail below in combination with the embodiments.

[0041] As shown in Figure 1 and Figure 2 , the embodiment discloses a strip steel edge wire tearing and shredding blocking fault automatic processing system, which comprises a tearing and shredding subsystem 2, a feeding subsystem 1, a waste conveying subsystem 3, a monitoring subsystem 4, an expert subsystem, and an interactive subsystem. The tearing and shredding subsystem 2, the feeding subsystem 1, and the waste conveying subsystem 3 belong to the currently common scheme, and the monitoring subsystem 4, the expert subsystem, and the interactive subsystem belong to the unique scheme of the application. The specific scheme is as follows.

[0042] The tearing subsystem 2 is used for tearing the edge wire generated by the disc shear; it comprises a cutter shaft, a cutter blade, a spacer sleeve, a box body, a support and a power module; the power module and the box body are installed on the support, the cutter shaft, the cutter blade and the spacer sleeve are all installed in the box body, the cutter blade and the spacer sleeve are staggered on the cutter shaft, the cutter blades on the adjacent cutter shafts are staggered, the power module is connected with the cutter shaft and is used for driving the cutter shaft to rotate, and the staggered cutter blades on the adjacent cutter shafts can tear the falling edge wire.

[0043] The blanking subsystem 1 is used for guiding the edge wire generated by the disc shear into the tearing subsystem 2; it is a through slot formed by wear-resistant materials; the inlet of the through slot is connected with the outlet of the disc shear, and the outlet is connected with the inlet of the tearing subsystem 2; generally, the outlet size of the through slot is slightly smaller than the inlet size of the tearing subsystem 2, so as to ensure that the edge wire falls into the tearing subsystem 2.

[0044] The waste conveying subsystem 3 is used for conveying the waste generated by the tearing subsystem 2 to a specified area; it comprises a conveying belt and a waste car; the inlet area of the conveying belt is connected with the outlet of the tearing subsystem 2, and the outlet area is received by the waste car; the waste generated by the tearing subsystem 2 is continuously conveyed, and the phenomena of piling and leaking do not occur.

[0045] The monitoring subsystem 4 is used for monitoring the falling of the edge wire at the blanking subsystem 1 and the falling of the waste at the outlet of the tearing subsystem 2; the monitoring is performed in the mode of image acquisition, and high-precision high-speed industrial cameras and other equipment can be used; the inlet monitoring module 41 is arranged at the blanking subsystem 1, and the outlet monitoring module 42 is arranged at the outlet of the tearing subsystem 2; the monitoring subsystem 4 should be prevented from interfering with the edge wire and the waste, so as to ensure the safety of the monitoring subsystem 4.

[0046] The expert subsystem is used for judging whether the blocking occurs according to the information collected by the monitoring subsystem 4, and sending an action instruction to the tearing subsystem 2 to make the tearing subsystem 2 execute the action of eliminating the blocking when the blocking occurs, and improving the automatic processing efficiency of the blocking fault through self-learning; the expert subsystem comprises an image recognition module, a decision module, a storage module and a learning module, wherein:

[0047] The image recognition module is used for analyzing the monitoring image of the falling of the edge wire, identifying whether the edge wire falls in the current image, and analyzing the monitoring image of the falling of the waste, identifying whether the waste falls in the current image;

[0048] The decision module is used for receiving the information transmitted by the image recognition module, judging whether the current is in the working state through whether the edge wire falls, judging whether the current is in the blocking state through whether the waste falls, and sending an action instruction to the tearing subsystem 2 to make the tearing subsystem 2 execute the action of eliminating the blocking when the blocking state occurs;

[0049] Storage module: used for storing the monitoring data and processing data of the whole system before, during and after the occurrence of the blockage;

[0050] Learning module: used for learning the data in the storage module and optimizing the parameters in the decision module, so as to improve the automatic processing efficiency of the blockage fault.

[0051] Interactive subsystem: used for manual control of the shredding subsystem 2; including a display screen and a manual operation panel, the display screen is used to display the falling condition of the side silk and the falling condition of the waste in real time, and the manual operation panel can control the shredding subsystem 2 at any time.

[0052] The working method of the system comprises the following steps:

[0053] Step 1) The monitoring subsystem 4 continuously takes pictures of the falling condition of the side silk and the falling condition of the waste;

[0054] Step 2) The image recognition module analyzes the monitoring image of the falling condition of the side silk to identify whether there is side silk falling in the current image, and analyzes the monitoring image of the falling condition of the waste to identify whether there is waste falling in the current image;

[0055] Step 3) The decision module receives the information from the image recognition module, if there is side silk falling, it is judged that the current state is working state, otherwise it is non-working state, if there is no waste falling in the working state, the time reaches t th , it is judged that the current state is blocked, otherwise it is not blocked;

[0056] Step 4) If the decision module judges that the current state is blocked, step 5) is executed; if the decision module judges that the current state is not blocked, the decision module resets the number of action instructions n to 0 issued to the shredding subsystem 2, and returns to step 2);

[0057] Step 5) The decision module issues an action instruction to the shredding subsystem 2, so that the shredding subsystem 2 reverses for t time and then rotates forward, thereby eliminating the blockage (in most cases, the poor distribution of the side silk at the inlet of the shredding subsystem 2 is the cause of the blockage, and the reverse rotation of the shredding subsystem 2 can eliminate this kind of blockage, if foreign matter falls into to cause blockage, the reverse rotation of the shredding subsystem 2 can adjust the bite angle of the foreign matter, which can also play a role in eliminating the blockage), the decision module increases the number n of action instructions issued to the shredding subsystem 2 by 1;

[0058] Step 6) If the number n of action instructions issued to the shredding subsystem 2 by the current decision module is greater than the threshold n max of the number of action instructions, the interactive subsystem issues an alarm to prompt that the current blockage is serious and human intervention is needed; otherwise, return to step 2).

[0059] In the working process, the self-learning method of the expert subsystem comprises the following steps:

[0060] Step 1) continuously record monitoring data and processing data, if no blockage occurs, delete t rec previous data, wherein t rec is the data storage time before failure, if blockage occurs, the storage module stores the edge wire falling condition information before blockage occurs, at the time of blockage, and after blockage is eliminated, the waste falling condition information, the action instruction frequency threshold n max , the waste falling time t th , and the shredding subsystem 2 reverse time t.

[0061] Step 2) the learning module optimizes the action instruction frequency threshold n max , the waste falling time t th , and the shredding subsystem 2 reverse time t, with the optimization objectives of blockage judgment accuracy and blockage processing time.

[0062] Step 3) write the optimized parameters into the decision module, and apply them in the subsequent working process.

[0063] When initializing each parameter, the action instruction frequency threshold n max is set to 5 times 、 , the waste falling time t th is set to 5s, the shredding subsystem 2 reverse time t is set to 5s, the shredding subsystem 2 action instruction frequency n is set to 0, and the data storage time before failure t rec is set to 20s; after optimization, in this embodiment, the action instruction frequency threshold n max is 6, the waste falling time t th is 7s, and the shredding subsystem 2 reverse time t is 7s.

[0064] The system can automatically judge the edge wire blockage condition and automatically process the blockage when it occurs, ensuring the working stability of the strip steel edge wire processing process, and can improve the automatic processing efficiency of the blockage failure through self-learning, realizing intelligentization, and reserving the function of manually controlling the shredding subsystem, ensuring the reliability.

[0065] The above-described embodiments are part of the embodiments of the present application, rather than all the embodiments. The detailed description of the embodiments of the present application is not intended to limit the scope of the claimed application, but only represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the present application.

Claims

1. An automatic handling system for material blockage caused by steel wire strip tearing, characterized in that, include: The shredding subsystem is used to shred the shreds produced by the disc shears. The feeding subsystem is used to guide the shredded material generated by the disc shear into the shredding subsystem. The waste conveying subsystem is used to transport waste generated by the shredding subsystem to a designated area; The monitoring subsystem is used to monitor the falling of edge wires at the feeding subsystem and the falling of waste material at the shredding subsystem outlet. The expert subsystem is used to determine whether material blockage has occurred based on the information collected by the monitoring subsystem, and when material blockage occurs, it issues action commands to the shredding subsystem to perform actions to eliminate the blockage, and improves the efficiency of automatic handling of material blockage faults through self-learning. The interactive subsystem is used for manual operation of the shredding subsystem; The monitoring subsystem uses image acquisition for monitoring, and the expert subsystem includes: The image recognition module is used to analyze the monitoring images of edge wire falling, identify whether edge wire has fallen in the current image, and analyze the monitoring images of waste material falling, identify whether waste material has fallen in the current image. The decision module receives information from the image recognition module, determines whether it is in working condition by whether there are falling filaments, determines whether it is in a blocking condition by whether there are falling waste materials, and issues an action command to the shredding subsystem when it is in a blocking condition, so that the shredding subsystem can perform the action to clear the blocking. The storage module is used to store monitoring data and processing data of the entire system before, during, and after material blockage occurs. The learning module is used to learn from the data in the storage module and optimize the parameters in the decision-making module, thereby improving the efficiency of automatic handling of material blockage faults. The working method of this system includes the following steps: Step 1) The monitoring subsystem continuously takes pictures of the falling edge wires and waste materials; Step 2) The image recognition module analyzes the monitoring images of the edge wire falling, identifies whether there is edge wire falling in the current image, and analyzes the monitoring images of the waste material falling, identifies whether there is waste material falling in the current image; Step 3) The decision module receives information from the image recognition module. If any scrap material falls, it determines that the module is in a working state; otherwise, it is in a non-working state. In the working state, if no scrap material falls, the time reaches t. th If the current condition is blocked, it is determined that the material is blocked; otherwise, it is determined that the material is not blocked. Step 4) If the decision module determines that the current state is blocked, then proceed to step 5); if the decision module determines that the current state is not blocked, then the number of action commands n issued by the current decision module to the shredding subsystem is reset to 0, and the process returns to step 2). Step 5) The decision module sends an action command to the shredding subsystem, causing the shredding subsystem to reverse for time t and then rotate forward, thereby eliminating the blockage. The number of action commands n sent by the decision module to the shredding subsystem is incremented by 1. Step 6) If the number of action commands n issued by the current decision module to the shredding subsystem is greater than the action command count threshold n max The interactive subsystem issues an alarm, indicating that the current material blockage is severe and requires manual intervention; otherwise, it returns to step 2.

2. The automatic handling system for strip wire tearing and blockage faults as described in claim 1, characterized in that, The expert subsystem's self-learning method during operation includes the following steps: Step 1) Continuously record monitoring and processing data. If no blockage occurs, delete the record. rec Previous data, where t rec This is the data storage time prior to the fault. If a blockage occurs, the storage module stores information on the edge wire falling before the blockage, during the blockage, and after the blockage is cleared, as well as information on the waste material falling and the threshold number of action commands n. max No waste falling time t th The shredding subsystem's reverse time t; Step 2) The learning module optimizes the accuracy of material blockage detection and the material blockage handling time, setting a threshold n for the number of action commands. max No waste falling time t th Optimize the shredding subsystem's reverse time t; Step 3) Write the optimized parameters into the decision module and apply them in subsequent work processes.

3. The automatic handling system for strip wire shredding and blockage faults as described in claim 1, characterized in that: The interactive subsystem includes a display screen and a manual control panel. The display screen shows the real-time status of the falling wires and waste materials, while the manual control panel allows for control of the shredding subsystem at any time.

4. The automatic handling system for strip wire tearing and blockage faults as described in claim 1, characterized in that: The shredding subsystem includes a cutter shaft, blades, spacers, housing, bracket, and power module. The power module and housing are mounted on the bracket, while the cutter shaft, blades, and spacers are all mounted inside the housing. The blades and spacers are staggered on the cutter shaft, with blades on adjacent cutter shafts staggered. The power module is connected to the cutter shaft and is used to drive the cutter shaft to rotate. The staggered blades on adjacent cutter shafts can shred the falling edge fibers.

5. The automatic handling system for strip wire shredding and blockage faults as described in claim 1, characterized in that: The feeding subsystem is a through channel made of wear-resistant material. The inlet of the through channel is connected to the outlet of the disc shear, and the outlet is connected to the inlet of the shredding subsystem.

6. The automatic handling system for strip wire shredding and blockage faults as described in claim 1, characterized in that: The waste conveying subsystem includes a conveyor belt and waste carts. The inlet area of ​​the conveyor belt connects to the outlet of the shredding subsystem, and the outlet area is handled by the waste carts.

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