Tire product quality on-line detection and control method
A technology of product quality and control method, applied in the field of tire quality control, can solve problems such as time-consuming, low accuracy, and many human interference factors, and achieve the effect of improving time efficiency, improving accuracy, and promoting application value.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2018-01-09
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Abstract
Description
technical field
[0001] The invention relates to a method for on-line detection and control of tire product quality, which belongs to the technical field of tire quality control. Background technique
[0002] With the rapid development of our country's economy, the number of cars owned by residents continues to increase, resulting in an increasing demand for tires in the automobile manufacturing industry. Therefore, the quality and safety of tire production has attracted more and more attention from the industry, especially the quality and safety inspection of tires before they leave the factory. How to accurately and effectively detect tire defects and ensure the factory quality of tires is a problem that must be paid attention to at present.
[0003] At present, the testing of tire quality at home and abroad is carried out after the event, and unqualified products are either scrapped or disposed of at a low price, which brings huge economic losses. The quality of tires is...
Examples
Embodiment Construction
[0038] The tire product quality online detection and control method of the present invention involves data processing, including primary judgment of statistics, secondary judgment based on knowledge guidance and judgment based on neural network, and forms an online detection system. Use statistics to make a preliminary judgment, and then make a second judgment on the results of the preliminary judgment through the laws contained in the indicators, calculate the slope of adjacent recorded data, find key points, and compress the data; then use the modified DTW algorithm to compare the curve of the tire to be recognized with the database The change trend of the tire curve in the middle, through massive data training, the judgment threshold is given, and the database is updated regularly. Specifically include the following steps.
[0039] 1. Data preprocessing
[0040]At present, the indicators used to judge the quality of tires mainly include eight indicators: left inner tempera...