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A kind of abnormal data processing method and system based on anti-counterfeiting traceability system

A technology of abnormal data and processing methods, applied in the field of anti-counterfeiting traceability, can solve the problems of the anti-counterfeiting traceability system being stopped, the inability to dig in-depth query results, and the inability of users to obtain the integrity of the intended consumer store. Real-time high effect

Active Publication Date: 2020-07-21
SYSU CMU SHUNDE INT JOINT RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Through the above existing solutions, the traditional anti-counterfeiting traceability system stops at distinguishing the authenticity and cannot dig deep into the query results
Moreover, the user cannot obtain the integrity of the intended consumer store

Method used

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  • A kind of abnormal data processing method and system based on anti-counterfeiting traceability system
  • A kind of abnormal data processing method and system based on anti-counterfeiting traceability system
  • A kind of abnormal data processing method and system based on anti-counterfeiting traceability system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] A method for processing abnormal data based on an anti-counterfeit traceability system, comprising the following steps:

[0048] S1: Obtain user information and check the authenticity of the product;

[0049] S2: According to the obtained information, use data cleaning, data integration, data transformation and data reduction methods to preprocess the data;

[0050] S3: Perform anomaly detection on the data set to remove the interference of abnormal points;

[0051] S4: Use distance-based methods to find the most suspicious counterfeit sources for offline datasets; use frequency-based classification methods for online datasets to find the most suspicious counterfeit sources;

[0052] S5: Mark bad stores, and send the marked results to the database.

[0053] In step S1, the basic information, product information, query information and purchase route input by the user are received. The basic information includes ID, gender, age, product information includes price, type,...

Embodiment 2

[0073] Such as figure 2 As shown, an abnormal data processing system based on an anti-counterfeiting traceability system includes:

[0074] Information collection module 201: used to collect basic information input by users, product information, query information and purchase channels, basic information includes ID, gender, age, product information includes price, type, purpose, query information includes spatial location, time, purchase The channels are online and offline. For online purchases, you need to obtain a store ID;

[0075] Information preprocessing module 202: for preprocessing the data obtained by the information collection module to obtain a sample set D={x 1 ,x 2 ,...,x m}, containing m unlabeled samples, each sample x i =(x i1 ; x i2 ,...,x in ) is an n-dimensional feature vector, reflecting the feature information of counterfeit goods;

[0076] Anomaly detection module 203: used to perform anomaly detection on the preprocessed data and eliminate abnor...

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Abstract

The present invention provides a method and system for processing abnormal data based on an anti-counterfeit traceability system. In the process of the user inquiring about the authenticity of a commodity through the anti-counterfeit traceability platform, when the commodity is determined to be counterfeit, the system will obtain the user information (gender, Age), query information (spatial location, time), product information (price, type, use) and purchase route information (online (website, store), offline (store)) reported by users for data preprocessing. Next, anomaly detection is performed on the data, and then the offline data set is analyzed using the distance-based classification method to find the counterfeit source based on the location information, or the online data set is analyzed based on the frequency classification method, and the threshold is determined as the counterfeit source. The invention uses the information of the anti-counterfeit traceability system to effectively mine, and provides effective reference for users, store managers and government supervision departments.

Description

technical field [0001] The present invention relates to the field of anti-counterfeit traceability, and more specifically, to an abnormal data processing method and system based on an anti-counterfeit traceability system. Background technique [0002] In the current anti-counterfeiting traceability system, consumers can query the whole process information of the product from production to circulation, and then to their own hands through the RFID or QR code pasted on the product. The system receives user features and product features, and returns product authenticity results, product production, production, wholesale, retail and other links records. [0003] Through the above-mentioned existing solutions, the traditional anti-counterfeit traceability system stops at distinguishing the authenticity, and cannot dig deep into the query results. Moreover, the user cannot obtain the integrity status of the intended consumer store. Contents of the invention [0004] In order to...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/00G06K9/62G06F16/25G06F16/29G06F16/215G06F16/26
CPCG06F16/215G06F16/252G06F16/26G06F16/29G06Q30/0185G06F18/23
Inventor 胡建国晏斌邓成谦林培祥黄家诚李凯祥
Owner SYSU CMU SHUNDE INT JOINT RES INST