Daily tire maintenance inspection

‌Appearance inspection‌.

‌Visual observation‌: Check whether there are cuts, bulges, obvious cracks or abnormal wear (such as inner/outer/middle wear) on the tire surface. ‌‌

‌Tread depth measurement‌: Use a special measuring ruler to detect that the tread depth must be greater than 1.6mm (replacement is required when approaching the wear limit). ‌‌

‌Air pressure detection‌: The standard tire pressure is usually between 2.2-2.8bar, and it is considered abnormal if it is 0.5bar lower than the specified value. ‌‌

‌Aging assessment‌.

If the tire has been used for more than 5 years and cracks or whitening appear on the sidewall, it needs to be replaced. ‌‌

‌Quality control in the manufacturing process‌

‌Raw material testing‌.

Use a high-resolution visual system to detect impurities, bubbles in rubber raw materials and surface defects of cords/wires (such as scratches and uneven coating) to ensure that the material quality meets the standards. ‌‌

1

‌Molding and vulcanization process monitoring‌.

‌Forming stage‌: Real-time monitoring of the cord fitting position, tension and wire ring winding parameters (such as the number of turns and diameter) to avoid tire deviation or insufficient strength due to process deviation. ‌‌

1

‌Vulcanization stage‌: Indirectly evaluate whether the vulcanization temperature and pressure meet the standards through the surface pattern clarity and sidewall marking integrity to prevent glue shortage or bubble defects. ‌‌

1

‌Finished product quality inspection‌.

Accurately measure tire dimensions (such as outer diameter and section width), and use 3D point cloud technology to locate tread defects (such as bulges and scratches) in real time to improve detection accuracy and efficiency. ‌‌

2

‌Advanced technology application‌

‌TPMS (Tire Pressure Monitoring System): Trigger an alarm at the millisecond level after a tire blowout occurs and adjust the body posture through intelligent chassis technology to reduce the risk of loss of control. ‌‌

3

‌3D point cloud defect detection system‌: Combine two-dimensional images with three-dimensional point cloud data to achieve multi-modal defect recognition, suitable for high-precision quality control of automated production lines. ‌‌