E-commerce product quality safety risk monitoring and early warning method

Abstract

The invention discloses an e-commerce product quality safety risk monitoring and early warning method, which comprises the following steps: firstly determining a product to be sampled, then regularlyextracting n samples, and detecting the quality of the extracted samples to obtain each piece of data of the sample; carrying out risk monitoring on the sample by utilizing the control chart accordingto the detected data, and calculating a risk coefficient by utilizing a formula to carry out early warning on the sample; risk monitoring of the sample includes risk monitoring of unqualified productrate and risk monitoring of key quality characteristics. The method has the characteristics that the safety risk can be visually reflected, and the product quality can be early warned timely and accurately.

Description

technical field [0001] The invention relates to an e-commerce product quality monitoring method, in particular to an e-commerce product quality safety risk monitoring and early warning method. Background technique [0002] With the rapid development of e-commerce, the quality of e-commerce products has attracted more and more attention from consumers. It is necessary to monitor the quality of e-commerce products and give early warning to the corresponding product quality so that law enforcement officers can grasp the information in time , to protect the rights and interests of consumers. However, at present, the quality and safety risk monitoring of e-commerce products is mainly through the detection of online shopping products, and the data obtained from the detection cannot directly and effectively reflect the risk; and the early warning of e-commerce products mainly focuses on information retrieval, aiming to help users Valuable information is found, but there is a lack ...

AI Technical Summary

Problems solved by technology

However, at present, the quality and safety risk monitoring of e-commerce products is mainly through the detection of online shopping products, and the data obtained from the detection cannot directly and effectively reflect the risk; and the early warning of e-commerce products mainly focuses on information retrieval, aiming to help users Found valuable information, lack of further early warning calculation research, resulting in the inability to timely and accurately provide early warning of product quality

Therefore, the existing technology has the problem of not being able to intuitively reflect safety risks and not being able to give early warnings to product quality in a timely and accurate manner.

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