Remote manual product quality detection method based on mobile terminals

Abstract

The invention discloses a remote manual product quality detection method based on mobile terminals. The method comprises the following steps: multiple camera devices are used to take pictures of a product, and the pictures are respectively transmitted to multiple terminals; users detect and score the product on the multiple terminals; and a system server works out the quality score of the product based on the scores and weights of the terminals and judges whether the product is qualified, and adjusts the weights of the terminals according to the statistical result. According to the detection method of the invention, the complex and changeful demand of industrial detection is creatively fused with local automatic detection, cloud platform-based detection and manual detection (through mobile terminals) via the Internet, and therefore, the effectiveness and operability and safety of the working process are improved.

Description

technical field [0001] The invention belongs to the technical field of product quality detection, and in particular relates to a technology and method for remote manual detection of product quality based on a mobile terminal. Background technique [0002] At present, the effective combination of industrial automatic control technology, computer technology and communication network technology has been successfully applied to various fields such as industrial machinery. However, due to the increase of complex factors such as the scale of the system under test, items, and test indicators, it is difficult to comprehensively process the test data, and the network of data transmission cannot be better developed or even stagnated. [0003] Rigorous quality testing requires standards-oriented quantitative metrics. Automated testing for certain products can meet the requirements of quantitative indicators to a certain extent, but it is not universal. However, there are large errors...

AI Technical Summary

Problems solved by technology

Automated testing for some products can meet the requirements of quantitative indicators to a certain extent, but it is not universal

However, there are large errors in the manual detection process, and problems such as false detection and missed detection are prone to occur under heavy workload conditions, resulting in an overall decline in the quality detection effect

[0004] Traditional testing methods waste too much human resources and manually guard a large number of testing equipment, which greatly reduces work efficiency and increases the possibility of mistakes

In addition, there are obvious problems especially in some special application fields. For example, in the industrial site, the harsh production environment, the staff cannot stay on site for a long time to observe whether the equipment is running normally, so it is necessary to collect data and transmit data in a larger environment. In a relatively good control room, using the traditional wired data transmission method will cause many problems, such as poor operability, increased errors, and even failure to transmit

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