Method for evaluating quality of quick food detection result

An evaluation method and quality technology, applied in the field of quality evaluation of food rapid inspection results, can solve the problems of low value of rapid inspection data, wide inspection coverage, and lack of utilization, so as to reduce the workload of re-inspection and have broad application prospects. , improve the effectiveness of supervision

Pending Publication Date: 2021-12-03
广东省食品检验所
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The quick test is time-consuming and easy to operate, but there is a certain false positive rate, false negative rate, etc., so the value of a single quick test data is not high
However, the data volume integrated by the rapid inspection information system is large and the detection coverage is wide. The overall data value is great but it has not been utilized.

Method used

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  • Method for evaluating quality of quick food detection result
  • Method for evaluating quality of quick food detection result
  • Method for evaluating quality of quick food detection result

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0133] Embodiment 1 establishes the EI model of rapid inspection work quality evaluation

[0134] Collect and clean the quick test data, create a series of indicators reflecting the quality of the quick test data, and propose a data quality level evaluation model, so as to build the entire quality evaluation system of the quick test result data.

[0135] Through in-depth mining of the quick inspection data, relevant factors that may reflect the quality of the quick inspection work are screened out, including but not limited to the completion of each variety of testing, the frequency of random inspection of each variety, the coverage ratio of sampling varieties, the coverage ratio of inspection items, and the sampling file There are 9 indexes, including mouth coverage ratio, abnormal value ratio of inspection data, matching ratio of varieties and items, unqualified batch / unqualified rate statistics, and unqualified follow-up inspection. The quality factors proposed as quick insp...

Embodiment 2

[0155] Example 2 Establishment of key screening list for quick inspection

[0156] From the unqualified data of the rapid inspection displayed by EI8 in the data quality evaluation system of the quick inspection results, varieties with a high rate of problem discovery can be screened out, thereby establishing a key screening list of pesticide and veterinary drug residues, which provides key screening items for the annual quick inspection work and Variety provides guidance.

[0157] Based on the data in 2019, the total number of testing batches, the number of unqualified batches, and the unqualified rate of different varieties and items are statistically summarized, and appropriate screening conditions are systematically set according to the detection status of each item, and finally the key screening list for 2020 is generated. Look up the list, as shown in Table 5.

[0158] Table 5 Key screening list for 2020

[0159]

[0160]

[0161]

[0162]

[0163]

Embodiment 3

[0164] Example 3 Carry out targeted screening of farmers' markets

[0165] In the rapid inspection big data EI model selected and established from the quick inspection result data quality evaluation system, in 2019, 38 farmers' markets were selected for on-site evaluation through the EI model, including 16 low-risk markets, 17 medium-risk markets, and high-risk markets. There are 5 markets, accounting for 18.54% (38 / 205) of the total number of on-site evaluation markets that year.

[0166] Among the 5 high-risk markets, 3 failed to pass the field evaluation after on-site evaluation, indicating that the target hit rate using the EI model can be as high as 60% (3 / 5). The large batch of abnormal data in the data reporting system also reflects the poor completion of quick inspection work such as data abnormal reporting in the upgrading and transformation market, which greatly increases the efficiency of screening unqualified markets. Among the other 167 farmers' markets evaluated...

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Abstract

The invention discloses a method for evaluating the quality of a quick detection result. Nine key indexes affecting the accuracy of the quick detection result and the completion quality of quick detection work in market detection are screened out, comprising: EI1: the completion condition of the detection quantity of each variety; EI2: the sampling inspection frequency of each variety; EI3: the coverage proportion of a sampled variety; EI4: the coverage proportion of inspection items; EI5: the coverage proportion of a spot check gate; EI6: the proportion of abnormal data values in inspection data; EI7: a variety-item matching ratio; EI8, statistics of unqualified batches / unqualified rates; and EI9, unqualified sample tracking inspection. The indexes can be selected from a quick detection result data quality evaluation system according to the supervision key points and endowed with different weight coefficients. When the quick detection result data quality evaluation method is applied to targeted screening of the farmer's market, the hit rate of a problem market can be remarkably increased, and the workload of re-detection is greatly reduced. The method has important significance and a wide application prospect for improving the supervision efficiency.

Description

technical field [0001] The invention relates to the technical field of food detection, and more specifically, to a quality evaluation method for rapid food detection results. Background technique [0002] With the rapid growth of the demand for food testing, rapid food testing methods have become an important technical support to ensure food safety. Rapid food testing has been carried out across the country, especially for edible agricultural products with a short sales cycle, and an information system for rapid inspection of edible agricultural products has been established to upload the results of rapid inspection of edible agricultural products in real time. [0003] The quick test takes a short time and is easy to operate, but there are certain false positive rates and false negative rates, so the value of a single quick test data is not high. However, the data volume integrated by the rapid inspection information system is large and the detection coverage is wide. The ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06F16/2458
CPCG06Q10/06393G06Q10/06395G06F16/2465G06F16/2462
Inventor 刘海虹蔡若纯邓皇翼雷毅
Owner 广东省食品检验所
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