CN109709099B - Method and device for intelligently identifying surface defects of strip steel - Google Patents
Method and device for intelligently identifying surface defects of strip steel Download PDFInfo
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Abstract
The invention discloses a method and a device for intelligently identifying surface defects of strip steel, which are characterized by comprising the following steps: the intelligent identification server for the strip steel surface defects, the detector for the strip steel surface quality at the inlet section and the detector for the strip steel surface quality at the outlet section; the intelligent identification server for the strip steel surface defects utilizes the comparison of the detection result of the outlet strip steel surface quality detector and the detection result of the inlet strip steel surface quality detector to identify the incoming material defects on the strip steel surface and the machine set newly-added defects generated after the incoming material defects pass through the inlet surface quality detector of the machine set. Through the mode, the method can not only identify the occurrence positions, the number and the types of the surface defects of the strip steel, but also quantitatively grade the cleaning quality of the strip steel at the inlet, finally automatically judge the surface quality of the strip steel and give an alarm in time when detecting serious defects, so that an operator can take countermeasure measures in time to reduce the quality loss.
Description
Technical Field
The invention relates to the field of intelligent manufacturing of strip steel, in particular to a method and a device for intelligently identifying surface defects of the strip steel.
Background
With the rise of labor cost, the trend of automation, intellectualization and less humanization of steel manufacturing becomes more and more obvious. For the steel and strip production enterprises, in the aspect of detecting the surface defects of the strip steel, the traditional method is to set a quality inspection post and inspect and identify the surface defects of the strip steel by a manual visual inspection method. However, when the strip steel runs at a high speed, fine defects are difficult to identify by naked eyes, if only one quality inspector is arranged, the defects on the lower surface of the strip steel are often missed when the defects on the upper surface of the strip steel are concerned, and if two quality inspectors are arranged, the labor cost is increased. In addition, the manual inspection has fatigue problem, and even if two quality inspectors are configured, the detection rate of the defects is still relatively low.
In order to overcome the defects, the surface defect automatic detectors are arranged in a plurality of strip steel continuous annealing units and continuous hot galvanizing units at present to assist in manually detecting the surface defects of the strip steel. The patent application No. CN201310476088.X 'strip steel surface defect detection method based on machine vision' provides a strip steel surface defect detection method which can assist quality inspection personnel in detecting strip steel surface defects. Patent application No. CN201110180603.0 on-line accurate detection method for surface quality in strip steel production process provides an on-line accurate detection method for surface quality in image type strip steel production process, which can realize real-time detection and accurate classification of surface defects of strip steel. However, these methods are all isolated strip steel surface defect detection systems, as in the existing automatic surface defect detection technology, and cannot efficiently determine whether the defects generated in the upper and lower processes are generated by the present machine set or brought by incoming materials. For example, common scratch defects may be caused by incoming materials and may also be generated by the unit. If the defect is generated by the unit, the crew member is required to immediately search the defect generating position and take countermeasure measures to solve the defect, so that the defect generating amount is reduced. If the material comes, the countermeasure of the unit will be totally different. Therefore, for a strip steel continuous annealing and hot galvanizing unit, it is very desirable to be able to accurately identify which defects are incoming materials and which defects are generated by the unit in time.
In addition, for a strip steel continuous annealing and hot galvanizing unit, strip steel is usually cleaned before annealing, and the quality of the surface cleaning of the strip steel affects the surface quality of a final product and the surface quality of a hot galvanizing coating. The traditional method is to detect the surface of the adhesive tape adhered to the strip steel by manual visual inspection, shutdown or on line with the help of a device by using the surface cleanliness of the special strip steel, and evaluate the cleaning quality of the surface of the strip steel according to the color or the reflectivity of the adhesive tape. For example, patent application No. CN201710785721.1 "a method for detecting the cleaning effect of strip steel" provides a method for quantitatively evaluating the cleaning effect of strip steel according to reflectance values. However, these methods rely on manual sampling inspection to determine the quality of cleaning the surface of the strip steel, and cannot detect the quality of cleaning the surface of the strip steel in real time, especially the change of the quality of cleaning the surface of the strip steel. For strip steel continuous annealing and hot galvanizing units, the industry hopes to detect the cleaning quality of strip steel in real time, and when an abnormality is found, measures can be taken immediately to reduce the loss of the strip steel.
For the intelligent manufacturing of strip steel, an intelligent detection system which completely replaces the manual work needs to be developed, and many enterprises and research institutes are already beginning to research and develop related technologies. Patent application No. CN201510252979.6 on-line intelligent identification and detection system and detection method for strip steel surface defects provides an on-line intelligent identification and detection system for strip steel surface defects, which can detect various types of strip steel defects and has the advantages of real-time detection, accurate classification and high accuracy. However, the method has a great gap from completely replacing manual work, realizing intelligent and unmanned detection and automatically judging and releasing quality.
Through search, the existing detection method and system for the strip steel defects in the field of intelligent strip steel manufacturing have the problems that too much manual sampling inspection cost is required, the real-time detection capability is insufficient, and the working efficiency is low.
Disclosure of Invention
In order to overcome the defects, the invention aims to provide an intelligent identification method and device for the surface defects of the strip steel. In order to achieve the above purpose, the invention adopts a technical scheme that:
the method comprises the following steps: the intelligent identification server for the surface defects of the strip steel, the strip steel surface quality detector at the outlet of the unit, the strip steel cleaning quality detector at the inlet of the unit and the strip steel surface quality detector are integrated; the machine set inlet strip steel cleaning quality detector and the strip steel surface quality detector can not only detect the surface defects of the inlet strip steel, but also carry out quantitative rating on the cleaning quality of the inlet cleaning section strip steel, and evaluate the cleaning effect of the cleaning section equipment on line in real time; the intelligent steel surface defect identification server compares the measurement result of the unit outlet strip steel surface quality detector with the measurement result of the unit inlet strip steel cleaning quality detector and the strip steel surface quality detector to identify whether the strip steel surface defect is an incoming material defect or a newly added defect generated behind the unit inlet surface quality detector; the intelligent identification device for the surface defects of the strip steel comprises a strip steel surface defect database;
the inlet strip steel cleaning quality detector and strip steel surface quality detector is arranged between an inlet cleaning section and a central section annealing furnace of the unit, has an online automatic strip steel cleaning surface quality detection function, can detect surface defects of the inlet strip steel, can quantitatively grade the cleaning quality of the inlet cleaning section strip steel, and can online evaluate the cleaning effect of cleaning section equipment in real time; the intelligent identification device for the strip steel surface defects is communicated with a unit basic automation system and is communicated through a TCP/IP protocol, and the outlet strip steel surface quality detector, the inlet strip steel cleaning quality detector and the strip steel surface quality detector are communicated with the unit basic automation system and are communicated through a hard-wired interlocking signal and the TCP/IP protocol;
the unit basic automation system comprises PLC unit hardware, a unit outlet strip steel surface quality detector, a unit inlet strip steel cleaning quality detector and a strip steel surface quality detector can give position information of each defect in the length direction and the width direction of strip steel when detecting the strip steel surface defect; when the surface quality detector of the strip steel at the outlet detects that the strip head or the strip tail has the surface defect which can not be released within a certain length, the defect of the strip head or the strip tail can be automatically removed through the basic automatic system;
the intelligent identification server for the surface defects of the strip steel also has a function of automatically judging and releasing the surface defects, and the intelligent identification server for the surface defects of the strip steel compares the characteristics, the occurrence frequency and the positions of the surface defects with the judgment and release standards of the surface defects of the strip steel, automatically judges the surface quality of the strip steel and preferentially alarms the defects which cannot be released and are generated by the intelligent identification server;
the method for intelligently identifying the surface defects of the strip steel comprises the following steps:
step (1): when the device for intelligently identifying the surface defects of the strip steel operates, the strip steel passes through the inlet strip steel cleaning quality detector and the strip steel surface quality detector after being cleaned by the cleaning section 15, the surface defects of the strip steel are detected, meanwhile, the position information of the defects is determined, and the cleaning quality of the strip steel is quantitatively evaluated;
step (2): the inlet strip steel cleaning quality detector and the strip steel surface quality detector transmit detected data to the strip steel surface defect intelligent identification server;
and (3): the intelligent identification server for the strip steel surface defects is connected with a strip steel surface defect database, obtained data are compared with existing data in the strip steel surface defect database, the defect detection results of the inlet strip steel cleaning quality detector and the strip steel surface quality detector are corrected, finally confirmed defect types are obtained, the defects are classified, if the defects can be released, the process is finished, and if the defects are defects which cannot be released, the process enters the step (4);
and (4): the intelligent identification server for the surface defects of the strip steel informs an alarm mechanism to alarm;
and (5): the strip steel passes through the outlet section, and the strip steel surface quality detector at the outlet of the unit detects the surface defects of the strip steel and determines the position information of the defects at the same time, and the position information is displayed on the HMI picture of the terminal;
and (6): the machine set outlet strip steel surface quality detector transmits various data obtained by detection to the strip steel surface defect intelligent identification server;
and (7): the intelligent identification server for the strip steel surface defects is connected with a strip steel surface defect database, the obtained data is compared with the existing data in the strip steel surface defect database, the defect detection result of an outlet strip steel surface quality detector is corrected to obtain the final defect type, meanwhile, the initial judgment is carried out on the strip steel surface quality according to the characteristics, the occurrence frequency and the position of each surface defect and the judgment release standard of the strip steel surface defects, namely, the initial automatic judgment is carried out, then the alarm is preferentially carried out on the non-releasable defects generated by the unit, and when the head or the tail of the strip has the non-releasable surface defects within a certain length, the head and the tail of the strip can be automatically removed through a basic automatic system;
and (8): and after the steel coil is cut into coils, automatically and finally judging the surface quality of the steel coil which is cut with the head and the tail of the strip and coiled again, namely finally judging, wherein the judgment comprises waste judgment, degradation, repair and release.
Furthermore, the intelligent identification server for the strip steel surface defects is communicated with a basic automation system of the unit to obtain the extension amount of strip steel in the furnace and the extension amount of flat strip steel, the extension amount of the strip steel for withdrawal and straightening is obtained when withdrawal and straightening exist, the length position information of the defects detected by the detector for the strip steel surface quality at the inlet or the outlet is corrected according to the total extension amount of the strip steel of the unit, and then the strip steel surface defects at the inlet and the outlet are compared to identify the generation positions of the strip steel surface defects, namely the generation positions of the strip steel surface defects which are newly generated behind the detector or exist in front of the detector; the machine set outlet strip steel surface quality detector, the machine set inlet strip steel cleaning quality detector and the strip steel surface quality detector are also communicated with the machine set process control system through a TCP/IP protocol.
Furthermore, the intelligent identification device for the surface defects of the strip steel comprises a strip steel surface defect database, the intelligent identification server for the surface defects of the strip steel is communicated with the strip steel surface defect database, the strip steel surface defect database collects the surface defect information of the unit and/or other units by using a cloud technology by adopting a big data principle, and the intelligent identification server for the surface defects of the strip steel compares the defects detected by the unit outlet strip steel surface quality detector and the inlet strip steel cleaning quality detector and the strip steel surface quality detector with the defects of the strip steel surface defect database by characteristics to accurately identify and give out defect types.
Furthermore, the intelligent identification device for the surface defects of the strip steel further comprises a quality control system, the intelligent identification server for the surface defects of the strip steel and the process control system are communicated with the quality control system and communicate through a TCP/IP protocol, and therefore the intelligent identification server for the surface defects of the strip steel can realize the transmission of defect information between upstream and downstream units and automatically arrange the repair.
Furthermore, the inlet strip steel cleaning quality detector and the strip steel surface quality detector are integrated strip steel upper and lower surface quality detectors, and the surface quality of the upper and lower surfaces of the strip steel and the strip steel cleaning quality are detected on the same equipment.
Further, the strip steel surface quality detector and the strip steel cleaning quality detector and the strip steel surface quality detector adopt a high-speed camera, and identify the strip steel surface defects and quantitatively grade the strip steel surface cleaning quality based on an image identification technology.
Furthermore, the outlet surface quality detector and the inlet strip steel cleaning quality detector and the strip steel surface quality detector comprise a high-speed camera unit, a light source, an encoder, an image processor, a display, a detection computer and a service computer; the service computer displays the detection result on the display and transmits the detection result to the intelligent identification server for the surface defects of the strip steel.
Further, the outlet surface quality detector and the inlet strip steel cleaning quality detector and the strip steel surface quality detector classify the severity of the strip steel surface defects by using a strip steel surface defect database, and when the severity defects are detected, an alarm mechanism gives an alarm in real time on line.
Furthermore, the alarm of the alarm mechanism adopts an acousto-optic and voice alarm mode.
The invention has the beneficial effects that: 1. the strip steel can be automatically judged, the treatment of waste judgment, degradation, sorting, release and the like is included, the automation, the intellectualization and the unmanned detection of the surface quality of the strip steel are realized, the quality inspection work can not be configured for a strip steel continuous annealing unit and a strip steel continuous hot galvanizing unit, and the labor cost for the operation of the units is reduced; 2. the method not only can identify the defects on the surface of the strip steel, but also can identify the defects which are incoming material defects and newly-added defects generated after the surface quality detector of the inlet of the unit, so that the unit operators can take appropriate measures in time to reduce the defect occurrence; 3. the method can detect the surface defects of the strip steel at the inlet, quantitatively grade the cleaning quality of the strip steel at the cleaning section of the inlet, evaluate the cleaning effect of equipment at the cleaning section on line in real time, and adjust the cleaning process in time by operators when the cleaning quality of the strip steel is not good so as to ensure the surface quality of the strip steel; 4. when a serious defect is detected, particularly when a newly generated serious defect of the unit is detected, the system can perform sound-light and voice alarm in time so that an operator can take countermeasure measures in time and the quality loss is reduced.
Drawings
FIG. 1 is a schematic diagram of a frame of an intelligent identification system for surface defects of strip steel in the invention;
FIG. 2 is a schematic diagram of the position of the continuous strip annealing line;
FIG. 3 is a schematic diagram of the implementation position of the continuous hot galvanizing unit for strip steel.
The parts in the drawings are numbered as follows: 11. an uncoiler; 12. shearing an inlet; 13. a welding machine; 14. an inlet loop; 15. a cleaning section; 16. an integrated strip steel upper and lower surface quality detector; 17. an annealing furnace; 18. a middle loop; 19. a leveling machine; 20. an outlet loop; 21. a circle shear; 22. a quality inspection chamber; 23. a detector for detecting surface defects on the outlet; 24, a defect detector for the lower surface of the outlet; 25. an oiling machine; 26. flying shears at the outlet; 27. a coiler; 31. a furnace nose; 32. a zinc pot; 33. an air knife; 34. and finally, cooling the water tank.
Detailed Description
The following embodiments are further described to illustrate the method of the present invention: it should be noted that the present embodiment is only two specific implementation methods implemented by the present invention, and the method and apparatus of the present invention also have a plurality of implementation methods, and various implementation methods applying the inventive concept are all within the protection scope of the present invention.
Example 1
Please refer to fig. 1 and 2; in the strip steel continuous annealing unit, as shown in fig. 2, it should be noted that this is only a simplified illustration of the unit configuration, and the actual unit configuration may have various changes; the strip steel is uncoiled by an uncoiler 11, cut at an inlet shear 12, welded at a welding machine 13, enters an inlet loop 14, then enters a cleaning section 15 for cleaning, and then enters an annealing furnace 17 for annealing. An integrated strip steel upper and lower surface quality detector 16 is arranged between the cleaning section 15 and the annealing furnace 17, and can not only detect the surface defects of the strip steel at the inlet, but also carry out quantitative rating on the cleaning quality of the strip steel at the inlet cleaning section, and evaluate the cleaning effect of the cleaning section equipment on line in real time. In this embodiment, the integrated strip steel upper and lower surface quality detector 16 includes a high-speed camera unit, a light source, an encoder, an image processor, a display, a detection computer, and a service computer, wherein the service computer has a surface defect database and a cleaning quality database, the high-speed camera unit is provided with high-speed cameras on the upper and lower surfaces of the strip steel to collect the strip steel surface image, the detection computer detects and identifies the strip steel surface defect and the spot, color difference and the like after the strip steel is cleaned, the result includes the information of the coil number, the position and the like obtained by combining with the basic automation system and the process control system and transmits the information to the service computer, and the service computer compares the information of the surface defect database and the cleaning quality database to identify the strip steel surface defect and quantitatively evaluate the cleaning quality of the strip steel surface; and as a result, the information including the coil number, the position and the like is also transmitted to the intelligent identification server of the surface defect of the strip steel besides being displayed on the display. The strip exits from the annealing furnace 17 at the end of the annealing process and enters the intermediate loop 18, then enters the leveler 19 for leveling, then enters the exit loop 20, and then is trimmed by the rotary shears 21. The trimmed strip steel continues to move backwards, is oiled by an oiling machine 25, then passes through an outlet flying shear 26, and then enters a coiling machine 27 to be coiled. In this embodiment, an outlet upper surface defect detector 23 is disposed on the upper surface of the strip steel of the turning roll at the top of the quality inspection chamber 22, and an outlet lower surface defect detector 24 is disposed on the lower surface of the strip steel of the turning roll behind the quality inspection chamber 22. The outlet upper surface defect detector 23 and the outlet lower surface defect detector 24 both adopt a high-speed camera and identify the surface defects of the strip steel based on an image identification technology, are the same as the traditional configuration and are not described in detail, and similarly, detection results of the detectors, including information such as the coil numbers and the positions, are also transmitted to the strip steel surface defect intelligent identification server except for being displayed on a display. The intelligent identification server for the strip steel surface defects utilizes the detection results of the outlet upper surface defect detector 23 and the outlet lower surface defect detector 24 to compare with the detection results of the integral strip steel upper and lower surface quality detectors 16, and identifies which defects are incoming material defects and which defects are new defects of units generated behind the integral strip steel upper and lower surface quality detectors 16 of the unit. In this embodiment, different comparison identification weights are set for the shape, size, and position of the defect, wherein the shape weight of the defect is greater. In addition, because the length and the width of the strip steel can be changed in the annealing process, the length of the strip steel can be changed in the leveling process, and the width of the strip steel after the edge of the strip steel is cut is also changed, the intelligent identification server for the surface defects of the strip steel is communicated with a unit process control system besides a unit basic automation system, and is communicated with a unit process control system through a TCP/IP protocol to obtain the elongation of the strip steel in the furnace, the elongation of the leveling strip steel and the width variation of the strip steel, the length position information of the defects detected by the inlet integrated strip steel upper and lower surface quality detector 16 or the outlet upper surface defect detector 23 and the outlet lower surface defect detector 24 is corrected according to the total strip steel elongation of the unit, the defect comparison success rate is improved, the inlet defects removed by edge cutting are discarded, and the defect judgment accuracy is improved. The intelligent identification server for the strip steel surface defects is also communicated with a strip steel surface defect database, the strip steel surface defect database collects the surface defect information of a plurality of relevant units by using a cloud technology by adopting a big data principle, and the intelligent identification server for the strip steel surface defects compares the defects detected by the strip steel surface quality detectors at the inlet and the outlet of the units with the defects of the strip steel surface defect database in a characteristic manner and is used for improving the defect identification accuracy and precision. The intelligent identification server for the strip steel surface defects judges the release standard according to the characteristics of the surface defects, including the information of defect types, sizes and the like, the occurrence frequency, the position of the defect type, the size, the frequency, the position and the like, compares the defect type, the size, the frequency, the position and the like, automatically judges the strip steel, and transmits and stores the information including waste judgment, degradation, sorting, release and the like, and can print the information at any time when necessary, thereby realizing the complete replacement of manual surface quality inspection. In addition, in the embodiment, the intelligent identification server for the surface defects of the strip steel and the process control system are both communicated with the quality control system and communicate through a TCP/IP protocol, and the intelligent identification server for the surface defects of the strip steel can realize the transmission of defect information between upstream and downstream units and automatically arrange the repair. Therefore, in the present embodiment, no quality inspection tool is disposed in the quality inspection chamber 22. In addition, the strip steel surface defect database also grades the severity of the strip steel surface defects, when the intelligent identification server for the strip steel surface defects identifies the defects which cannot be released, the intelligent identification server informs an alarm mechanism to give an alarm in real time on line, and the alarm mechanism preferentially gives an alarm for the defects which cannot be released and are generated by the intelligent identification server for the strip steel surface defects in an acousto-optic + voice mode, so that an operator can take corresponding measures in time.
Example 2
Please refer to fig. 1 and fig. 3; in a strip steel continuous hot galvanizing unit, as shown in fig. 3, it should be noted that this is only a simplified illustration of the unit configuration, and the actual unit configuration may have various changes; the path and equipment configuration of the strip steel annealing and the path and equipment configuration before the annealing are basically the same as those of the embodiment 1; the difference is that the strip steel is annealed from the annealing furnace 17, then is immersed into a zinc pot 32 through a furnace nose 31 for hot galvanizing, then is cooled after the weight of a zinc layer is controlled by an air knife 33, then enters a final water cooling tank 34 for water cooling, and then enters an intermediate loop 18. The flow path and the equipment configuration of the strip steel are basically the same as those of the embodiment 1, and detailed description is omitted. However, it should be noted that, since the surface state of the strip steel is changed after hot galvanizing the strip steel, when the intelligent identification server for the surface defect of the strip steel compares the detection results of the outlet upper surface defect detector 23 and the outlet lower surface defect detector 24 with the detection results of the integral strip steel upper and lower surface quality detector 16, the comparison identification weights set for the shape, size and position of the defect are changed greatly, and at this time, the occupation ratio for the shape weight of the defect is small, and the comparison identification is performed mainly through the defect position auxiliary defect size information and the strip steel surface defect database information to identify which defects are incoming material defects and which defects are new defects of the unit generated after the strip steel passes through the integral strip steel upper and lower surface quality detector 16 of the unit.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (6)
1. The utility model provides an intelligence discernment belted steel surface defect's device which characterized in that includes: the intelligent identification server for the surface defects of the strip steel, the strip steel surface quality detector at the outlet of the unit, the strip steel cleaning quality detector at the inlet of the unit and the strip steel surface quality detector are integrated; the intelligent identification server for the strip steel surface defects utilizes the comparison of the measurement result of the strip steel surface quality detector at the outlet of the unit and the measurement result of the strip steel cleaning quality detector and the strip steel surface quality detector at the inlet of the unit, and identifies whether the strip steel surface defects are incoming material defects or newly added defects generated behind the surface quality detector at the inlet of the unit;
the machine set inlet strip steel cleaning quality detector and strip steel surface quality detector is arranged between a machine set inlet cleaning section and a central section annealing furnace, has an online automatic strip steel cleaning surface quality detection function, and can be used for quantitatively grading the cleaning quality of strip steel at the inlet cleaning section and evaluating the cleaning effect of cleaning section equipment in real time on line besides detecting the surface defects of the inlet strip steel;
the intelligent identification server for the surface defects of the strip steel also has a function of automatically judging and releasing the surface defects, and the intelligent identification server for the surface defects of the strip steel compares the characteristics, the occurrence frequency and the positions of the surface defects with the judgment and release standards of the surface defects of the strip steel, automatically judges the surface quality of the strip steel and preferentially alarms the defects which cannot be released and are generated by the intelligent identification server; the device for intelligently identifying the surface defects of the strip steel further comprises a quality control system, wherein the intelligent identification server for the surface defects of the strip steel and the process control system are communicated with the quality control system and communicate through a TCP/IP protocol, so that the intelligent identification server for the surface defects of the strip steel realizes the transmission of defect information between upstream and downstream units and automatic arrangement and repair;
the device for intelligently identifying the surface defects of the strip steel is communicated with a basic automation system of the unit, the device is communicated through a TCP/IP protocol to obtain the elongation of the strip steel in the furnace and the elongation of the flat strip steel, the elongation of the tension-corrected strip steel is obtained when tension correction exists, the length position information of the defects detected by a strip steel surface quality detector at the inlet of the unit or at the outlet of the unit is corrected according to the total strip steel elongation of the unit, and then the strip steel surface defects at the inlet and the outlet are compared to identify the generation positions of the strip steel surface defects; the unit outlet strip steel surface quality detector and the unit inlet strip steel cleaning quality detector and the strip steel surface quality detector are both communicated with the unit basic automation system and communicate with each other through a hard-wired interlocking signal and a TCP/IP protocol; the unit basic automation system comprises PLC unit hardware, a unit outlet strip steel surface quality detector, a unit inlet strip steel cleaning quality detector and a strip steel surface quality detector are used for detecting strip steel surface defects and simultaneously giving position information of each defect in the length direction and the width direction of the strip steel; when the surface quality detector of the strip steel at the outlet of the unit detects that the strip head or the strip tail has the unreleasable surface defect within a certain length, the strip head and the strip tail are automatically removed through the basic automatic system;
the device for intelligently identifying the surface defects of the strip steel comprises a strip steel surface defect database, wherein a strip steel surface defect intelligent identification server is communicated with the strip steel surface defect database, the strip steel surface defect database collects surface defect information of the unit and/or other units by utilizing a cloud technology by adopting a big data principle, and the strip steel surface defect intelligent identification server compares the defects detected by the unit outlet strip steel surface quality detector and the unit inlet strip steel cleaning quality detector with the defects of the strip steel surface defect database by characteristics to accurately identify and give defect types.
2. The device for intelligently identifying the surface defects of the strip steel according to claim 1, is characterized in that: the machine set inlet strip steel cleaning quality detector and the strip steel surface quality detector are integrated strip steel upper and lower surface quality detectors, and the surface quality of the upper and lower surfaces of the strip steel and the strip steel cleaning quality are detected on the same equipment.
3. The device for intelligently identifying the surface defects of the strip steel according to claim 1, is characterized in that: the machine set outlet strip steel surface quality detector and the machine set inlet strip steel cleaning quality detector and the strip steel surface quality detector both adopt a high-speed camera and identify strip steel surface defects and quantitatively grade the strip steel surface cleaning quality based on an image identification technology.
4. The device for intelligently identifying the surface defects of the strip steel according to claim 1, is characterized in that: the machine set outlet strip steel surface quality detector and the machine set inlet strip steel cleaning quality detector and strip steel surface quality detector comprise a high-speed camera unit, a light source, an encoder, an image processor, a display, a detection computer and a service computer; the service computer displays the detection result on the display and transmits the detection result to the intelligent identification server for the surface defects of the strip steel.
5. The device for intelligently identifying the surface defects of the strip steel according to claim 1, is characterized in that:
the strip steel surface quality detector at the outlet of the unit and the strip steel cleaning quality detector at the inlet of the unit and the strip steel surface quality detector are used for grading the severity of the surface defects of the strip steel by using a strip steel surface defect database, and when the severity defects are detected, an alarm mechanism alarms in real time on line;
the alarm of the alarm mechanism adopts the alarm mode of sound and light and voice.
6. A detection method for intelligently identifying the surface defects of the strip steel by using the device of any one of claims 1 to 5, which is characterized by comprising the following steps of: the method comprises the following steps:
step (1): when the device for intelligently identifying the surface defects of the strip steel operates, the strip steel passes through a strip steel cleaning quality detector and a strip steel surface quality detector at the entrance of a unit after being cleaned by a cleaning section, the surface defects of the strip steel are detected, meanwhile, the position information of the defects is determined, and the cleaning quality of the strip steel is quantitatively evaluated;
step (2): the machine set inlet strip steel cleaning quality detector and the strip steel surface quality detector transmit detected data to the strip steel surface defect intelligent identification server;
and (3): the intelligent identification server for the strip steel surface defects is connected with a strip steel surface defect database, obtained data are compared with existing data in the strip steel surface defect database, the defect detection results of the strip steel cleaning quality detector and the strip steel surface quality detector at the machine set inlet are corrected, finally confirmed defect types are obtained, the defects are classified, if the defects can be released, the process is finished, and if the defects are defects which cannot be released, the process enters the step (4);
and (4): the intelligent identification server for the surface defects of the strip steel informs an alarm mechanism to alarm;
and (5): the strip steel passes through the outlet section, and the strip steel surface quality detector at the outlet of the unit detects the surface defects of the strip steel and determines the position information of the defects at the same time, and the position information is displayed on a terminal HMI picture, namely a human-computer interface;
and (6): the machine set outlet strip steel surface quality detector transmits various data obtained by detection to the strip steel surface defect intelligent identification server;
and (7): the intelligent identification server for the strip steel surface defects is connected with a strip steel surface defect database, the obtained data is compared with the existing data in the strip steel surface defect database, the defect detection result of a strip steel surface quality detector at the outlet of a unit is corrected to obtain the final defect type, meanwhile, the initial judgment is carried out on the strip steel surface quality according to the characteristics, the occurrence frequency and the position of each surface defect and the judgment release standard of the strip steel surface defects, namely, the initial automatic judgment is carried out, then the alarm is preferentially carried out on the non-releasable defects generated by the unit, and when the head or the tail of the strip has the non-releasable surface defects within a certain length, the head and the tail of the strip can be automatically removed through a basic automatic system;
and (8): and after the steel coil is cut into coils, automatically and finally judging the surface quality of the steel coil which is cut with the head and the tail of the strip and coiled again, namely finally judging, wherein the judgment comprises waste judgment, degradation, repair and release.
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| CN113670941A (en) * | 2021-08-30 | 2021-11-19 | 宝钢湛江钢铁有限公司 | Method for online quantitative evaluation of oxidation color defects on surface of multifunctional continuous annealing strip steel |
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