Automatic grading method for character abnormity of vulcanization first tank tire

Abstract

The invention relates to an automatic grading method for character abnormity of a vulcanization first tank tire, and belongs to the technical field of tire detection. After a vulcanizing machine produces a first tank of tires, a vulcanizing machine is automatically locked and stopped, the first tank of tires is controlled by an MES system to be sorted to a conveying line, the first tank of tires to be detected is conveyed to a first tank of character visual inspection machine for tire side character detection, and a tire side character picture is generated in a detection computer of the first tank of character visual inspection machine; comparing the sidewall character picture with a standard character, identifying and judging a result; the AI picture automatic grade judgment equipment is connected with the MES system and the PLC computer, grade judgment is carried out on a captured picture result, a grade judgment result is automatically sent to the MES system, the MES system generates quality tracing information and controls the sorting line PLC controller according to the grade judgment result, tires are sorted to a qualified product channel or an unqualified product channel through the allocator, and the qualified product channel or the unqualified product channel is connected with the PLC computer. And meanwhile, the MES system issues a command to the PLC of the vulcanizing machine according to the grade judgment result, the vulcanizing machine with the qualified state is unlocked for automatic production, and the vulcanizing machine with the unqualified state is kept in a locked and stopped state.

Description

Technical Field

[0001] The invention relates to the technical field of tire detection, in particular to an automatic grading method for abnormal characters of a first-can vulcanized tire. Background Art

[0002] As we all know, tire molds are one of the most important equipment for rubber tire products. The upper and lower side plates of the molds record the tire size characteristics, instructions for use, manufacturing units, certification codes, etc., and are composed of many small and different types of movable type blocks. Due to the diversity of tire specifications and the fact that a single specification corresponds to only a single mold, the movable type blocks on the upper and lower side plates of the molds need to be frequently replaced and assembled. If the tire mold surface logo is wrongly pressed, missed, pressed multiple times, or even font defects during assembly, it will not only fail to meet the requirements of laws and regulations, but will also cause serious economic losses to the company. Therefore, it is necessary to check and confirm the characters of the first can of tire produced by vulcanization after the mold is replaced. At present, the sidewall characters of the first can of tires are mainly inspected by manual visual inspection, but there are many disadvantages: after the first can of tires is vulcanized and produced, the tires need to be retained, manually transferred, and wait for manual inspection, which consumes a lot of time and is inefficient; the labor cost is high, and as the number of tire specification changes increases, a large number of personnel need to be invested to ensure the quality and quantity of the inspection tasks; the instability and long-term work cause visual fatigue to the quality inspectors, and the efficiency and reliability are reduced, which is prone to missed inspections and false inspections. Summary of the invention

[0003] In order to overcome the deficiencies of the prior art, the present invention provides a method for automatically judging the abnormality of characters on the first batch of vulcanized tires, thereby improving the accuracy and efficiency of the first batch of tire character inspection.

[0004] The technical solution adopted by the present invention to solve its technical problem is: a method for automatically judging the abnormality of characters on the first can of vulcanized tire, based on a transportation line, a visual inspection machine for characters on the first can, a distributor, a wired network, a barcode scanner, an MES system, and a computer client, and characterized in that it includes the following steps: after the vulcanizer produces the first can of tire, the vulcanizer automatically locks and stops, the first can of tire is sorted by the MES system to the transportation line, and the first can of tire to be tested is transported to the visual inspection machine for characters on the sidewall, and a sidewall character picture is generated in the inspection computer of the visual inspection machine for characters on the first can, and the sidewall character picture and the standard character are compared. The AI ​​image automatic grading equipment is connected to the MES system and PLC computer to grade the captured image results, and the grading results are automatically sent to the MES. At the same time, the extracted sidewall character images are sent to the MES system for storage. The MES system generates quality traceability information and controls the sorting line PLC controller according to the grading results. The tires are sorted into the qualified product channel or the unqualified product channel through the distributor. At the same time, the MES system will send the grading result command to the vulcanizer PLC. The vulcanizer in the qualified state will be unlocked and automatically produced, and the unqualified vulcanizer will remain locked and stopped.

[0005] The beneficial effect of the present invention is that it changes the previous mode of manual fetal retention, fetal delivery and manual detection, realizes fully automatic intelligent control, improves the overall automation level and detection efficiency of the equipment, and reduces labor costs. DETAILED DESCRIPTION

[0006] The present invention will be further described below in conjunction with embodiments: It is equipped with a transportation line, a first-can character visual inspection machine, a distributor, a wired network, a barcode scanner, an MES system, and a computer client. When the vulcanizing mold switches specifications, the vulcanizing machine automatically locks and stops after producing the first can of tires. The first can of tires is sorted by the MES system to the transportation line, and the first can of tires to be tested is transported to the first can of character visual inspection machine for sidewall character inspection. Before being transported to the first can of character visual inspection machine, the photoelectric trigger scanning head will recognize the barcode on the tire and perform the first can character inspection. The first can of character visual inspection machine generates a sidewall character picture in the inspection computer, and the sidewall character picture and the standard The AI ​​image automatic grading equipment is connected to the MES system and PLC computer to grade the captured images. The grading results are automatically sent to the MES. At the same time, the extracted sidewall character images are sent to the MES system for storage. The MES system generates quality traceability information and controls the sorting line PLC controller according to the grading results. The tires are sorted into qualified or unqualified channels through the distributor. At the same time, the MES system will send a command to the vulcanizer PLC with the grading results. If the vulcanizer is in a qualified state, it will be unlocked and automatically produced. If the vulcanizer is unqualified, it will remain locked and stopped.

[0007] The first can character visual inspection machine image automatic grading system will compare the tire sidewall characters with the tire standard character images in the database and automatically process and classify them. The newly generated sidewall character defect images will automatically enter the tire defect image database. The first can character visual inspection machine image automatic grading system can achieve higher automatic grading accuracy through self-learning of tire character defect images, further improving the efficiency of equipment use.

Claims

1. A method for automatically judging the abnormality of characters on the first can of vulcanized tires, based on a transportation line, a visual inspection machine for characters on the first can, a distributor, a wired network, a barcode scanner, an MES system, and a computer client, characterized in that: The method comprises the following steps: after the vulcanizer produces the first can of tires, the vulcanizer is automatically locked and stopped. The first can of tires is sorted by the MES system to the transportation line, and the first can of tires to be tested is transported to the first can of character visual inspection machine for sidewall character inspection. The inspection computer of the first can of character visual inspection machine generates a sidewall character image, and the sidewall character image and the standard character are compared, identified and the result is judged; the AI ​​image automatic grading device is connected to the MES system and the PLC computer, and the captured image results are graded. The grading results are automatically sent to the MES, and the extracted sidewall character images are transmitted to the MES system for storage. The MES system generates quality traceability information and controls the sorting line PLC controller according to the grading results, and sorts the tires into the qualified product channel or the unqualified product channel through the distributor. At the same time, the MES system will send a command of the grading result to the vulcanizer PLC, and the qualified vulcanizer will be unlocked and automatically produce, and the unqualified vulcanizer will remain locked and stopped.