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Product quality determination method, apparatus, device and storage medium

A technology for product quality and determination methods, applied in marketing, data processing applications, forecasting, etc., can solve problems such as deviations in product quality forecasts, and achieve the effect of improving accuracy

Inactive Publication Date: 2019-03-22
SHANGHAI WINGTECH INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a method, device, equipment and storage medium for determining product quality, so as to solve the problem of biased product quality prediction caused by subjective prediction and improve the efficiency of product quality prediction

Method used

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  • Product quality determination method, apparatus, device and storage medium
  • Product quality determination method, apparatus, device and storage medium
  • Product quality determination method, apparatus, device and storage medium

Examples

Experimental program
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Embodiment 1

[0026] figure 1 It is a flow chart of a method for determining product quality provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of predicting the market prospect of unlisted electronic products. The method can be performed by the product quality determining device provided in the embodiment of the present invention, and specifically includes the following steps:

[0027] Step 101, according to the label information of the target product, determine the basic historical product similar to the target product in the historical product database.

[0028] Wherein, the label information may include: supplier name, hardware model, parameter information, algorithm information and platform information, etc. The historical database includes historical product failure rate values, specific defect distribution information and label information, etc. that have been listed. The specific defect distribution information indicates functional de...

Embodiment 2

[0037] figure 2 It is a flow chart of a method for determining product quality provided by Embodiment 2 of the present invention. This embodiment is further optimized on the basis of the above embodiments. Such as figure 2 As shown, the method may include:

[0038] Step 201, taking the historical product including the most label information of the target product in the historical product database as the basic historical product.

[0039] Step 202: Among the feature information of the target product, the feature information that is the same as the basic historical product is used as the first type of feature information, and the feature information that is different from the basic historical product is used as the second type of feature information.

[0040] Exemplarily, the target product X includes feature information A, feature information B, feature information C, and feature information D, and the basic historical product Y includes feature information A, feature infor...

Embodiment 3

[0064] image 3 It is a schematic structural diagram of a device for determining product quality provided by Embodiment 3 of the present invention. The device can execute the method for determining product quality provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method. Such as image 3 As shown, the device may include:

[0065] The most similar historical product determination module 31 is used to determine the basic historical product of the target product in the historical product database according to the label information of the target product;

[0066] The basic failure rate estimation determination module 32 is used to determine the basic failure rate estimation of the target product according to the feature information of the target product and the feature information of the basic historical product;

[0067] The final failure rate estimate determination module 33 is configured to d...

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Abstract

The embodiment of the invention discloses a product quality determination method apparatus device and a storage medium, which relate to the technical field of market prediction. The method comprises the following steps: determining a basic historical product similar to the target product in a historical product database according to the label information of the target product; Determining a basicfailure rate estimation value of the target product according to the characteristic information of the target product and the characteristic information of the basic historical product; determining The final failure rate estimate of the target product according to the basic failure rate estimate of the target product, the first type of fluctuation molecular value and the second type of fluctuationmolecular value. According to the characteristic information of the target product and the characteristic information of the basic historical product in the historical product database, Then the final failure rate is estimated according to the first kind of fluctuation molecular value and the second kind of fluctuation molecular value, which realizes the quality prediction of the target product based on the historical data, and improves the accuracy of the prediction.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of market forecasting, and in particular to a method, device, equipment and storage medium for determining product quality. Background technique [0002] Nowadays, electronic products are frequently updated in the market, and the product development cycle is compressed, which leads to the inability to completely solve the expected development problems. Before the product goes on the market, it is impossible to predict the future quality level based on the current situation in advance. [0003] At present, the market analysis of products is mostly reflected in the subjective prediction level, but the subjective prediction lacks quantitative analysis supported by data, which will result in: 1. Individual subjective risk estimation is insufficient, the listing quality is poor, and the risk is high. 2. Excessive personal subjective risk assessment will ultimately affect the normal list...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q30/02
CPCG06Q10/04G06Q30/0201
Inventor 阮鑫李丹
Owner SHANGHAI WINGTECH INFORMATION TECH CO LTD
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