CN-121981734-A - Tracing and quality monitoring system integrating commodity audit and intelligent audit

CN121981734ACN 121981734 ACN121981734 ACN 121981734ACN-121981734-A

Abstract

The invention relates to the technical field of commodity auditing and quality monitoring, in particular to a tracing and quality monitoring system integrating commodity auditing and intelligent auditing. The system generates a traceable label through multi-level verification, dynamically collects the label and performs hierarchical inspection, and ensures that the data cannot be tampered by combining a blockchain technology. Meanwhile, the resource scheduling module optimizes load distribution, and the equipment compatibility detection module improves terminal suitability. The invention can realize high-efficiency audit, accurate traceability and intelligent audit of commodity information, and remarkably improve quality monitoring efficiency and reliability.

Inventors

YI YONGQIANG
ZHANG SHENGYU
HE WEN
ZHENG HONG
LIU YINGJUN
LI YINAN
YUAN ZAIXIN

Assignees

南方电网互联网服务有限公司

Dates

Publication Date: 20260505
Application Date: 20251210

Claims (10)

1. The tracing and quality monitoring system integrating commodity auditing and intelligent auditing is characterized by comprising an information input unit, a data verification unit, a distributed storage network, an intelligent feedback module and a hierarchical auditing unit; The information input unit is used for receiving commodity basic information and display information input by a merchant and sending the information to the data verification unit, wherein the commodity basic information comprises commodity names, aliases, view images, a batching table and bar code identifiers; The data verification unit performs multi-level verification processing on the commodity basic information and the display information, generates a tracing label and a checking signal, and sends the tracing label to the distributed storage network for storage; And the hierarchical auditing unit dynamically collects traceability labels in the distributed storage network, generates classification signals, verification signals and guarantee signals based on a clustering algorithm, performs hierarchical processing according to signal types, and feeds back results to the intelligent feedback module for display.
2. The traceability and quality monitoring system integrating commodity audit and intelligent audit according to claim 1 is characterized in that the specific implementation mode of the data verification unit is as follows: sequentially inputting basic information and display information of the commodity into a basic verification model and a advanced verification model to perform layered verification processing; in the advanced verification model, the information which passes through the basic verification is further analyzed, and a traceability tag is generated and sent to a distributed storage network for storage.
3. The traceability and quality monitoring system integrating commodity audit and intelligent audit according to claim 2, wherein the specific verification process of the basic verification model includes the following steps: s1, key attribute integrity inspection, namely acquiring the blank quantity of a necessary filling field in commodity basic information and display information, and generating a first inspection signal if the blank quantity is more than or equal to 1; S2, commodity bar code identity matching, namely after a first passing signal is generated, extracting a commodity bar code and calling an API (application program interface) of a national bar code center to carry out matching verification, and if the matching is successful, generating a second passing signal; S3, after the second pass signal is generated, extracting text information of the ingredient list or extracting text information from a view image containing the ingredient list, comparing the text information with a preset forbidden component database, and if the forbidden component is detected, generating a third check signal; And S4, checking the compliance of propaganda characters, namely extracting text content of a propaganda picture in the display information, matching the text content with a preset illegal keyword library, generating a fourth examination signal if the illegal keyword is detected, and otherwise, generating a fourth passing signal.
4. The traceability and quality monitoring system integrating commodity audit and intelligent audit according to claim 1 is characterized in that the specific operation flow of the hierarchical audit unit is as follows: The method comprises the steps of dynamically collecting traceable labels in a distributed storage network, classifying the traceable labels into three categories of low risk, medium risk and high risk based on commodity characteristics, generating classification signals, analyzing distribution rules of the traceable labels through a clustering algorithm, generating verification signals and guarantee signals, distributing commodities to different inspection levels according to the classification signals, the verification signals and the guarantee signals, and feeding inspection results back to an intelligent feedback module for display.
5. The traceability and quality monitoring system integrating commodity audit and intelligent audit according to claim 1, characterized in that the specific working mode of the intelligent feedback module is as follows: And the merchant can directly modify commodity information and resubmit through the intelligent feedback module, and the background quality inspection personnel can check the commodity inspection level and detailed information through the intelligent feedback module to execute further operation.
6. The tracing and quality monitoring system integrating commodity auditing and intelligent auditing according to claim 1, wherein the distributed storage network adopts a block chain technology to construct a decentralised storage structure, tracing labels are recorded in blocks according to time stamp sequences, each block contains basic information, verification results and auditing signals of the commodity, the blocks form a chain structure through hash value links, and the distributed storage network supports multi-node synchronous updating.
7. The traceability and quality monitoring system integrating commodity audit and intelligent audit according to claim 1 is characterized by further comprising a resource scheduling module, wherein the implementation mode is as follows: The method comprises the steps of monitoring the load states of all nodes in a system in real time, comparing the load states with an expected load threshold, starting a hierarchical regulation strategy if the total load exceeds the set proportion of the expected load threshold, preferentially reducing the execution frequency of low-priority tasks, secondly reducing the redundancy of data storage, and finally adjusting the commodity inspection range, and activating a resource allocation optimization model if the total load is lower than the set proportion of the expected load threshold, and allocating the residual resources to high-priority tasks.
8. The traceability and quality monitoring system integrating commodity audit and intelligent audit according to claim 7 is characterized in that the specific calculation method of the resource scheduling module is as follows: The method comprises the steps of taking the ratio of the current load of each node to a target load as a load coefficient, calculating a weighted average value of the load coefficients, judging the system load state through the weighted average value, triggering a load grading regulation and control strategy if the system load state is higher than a preset upper limit, triggering a resource allocation optimization model if the system load state is lower than a preset lower limit, preferentially adjusting the execution interval of low-priority tasks by the load grading regulation and control strategy, reducing the number of copies stored by data, and finally adjusting the coverage proportion of a commodity inspection range.
9. The traceability and quality monitoring system integrating commodity audit and intelligent audit according to claim 1 further comprising a device compatibility detection module, the operation flow of which is as follows: the method comprises the steps of scanning a connected terminal device, obtaining precision parameters, maximum throughput rate and response delay supported by the device, calculating the matching degree of the device parameters and demand parameters of a data verification unit, generating a device degradation instruction if the matching degree is lower than a preset threshold value, adjusting the demand parameters to be within a device support range, generating a device optimization instruction if the matching degree is higher than the preset threshold value, and activating an enhancement mode of the device to improve detection precision.
10. The traceability and quality monitoring system integrating commodity audit and intelligent audit according to claim 9 is characterized in that the specific method for calculating the matching degree is as follows: The method comprises the steps of performing intersection operation on equipment detection precision and coverage rate of a target commodity bar code, calculating a bar code recognition success rate, performing ratio operation on equipment maximum throughput rate and complexity of a target commodity batching table, calculating processing efficiency, performing difference absolute value operation on equipment response delay and analysis speed of a target commodity propaganda picture, calculating response deviation, and combining the calculation results into matching degree scores through a weighted summation formula.

Description

Tracing and quality monitoring system integrating commodity audit and intelligent audit Technical Field The invention belongs to the technical field of information technology and quality management, and particularly relates to a tracing and quality monitoring system integrating commodity auditing and intelligent auditing. Background With the rapid development of the information society, the popularization of mobile phones accelerates the development of virtual shopping, and people start to get used to virtual shopping on the internet. However, in the existing merchant selling process, the problems of inconformity of the original commodity and the propaganda commodity, inconformity of the plate and the batching table and the like are gradually revealed, and the problems of 'information asymmetry' and 'credit evaluation distortion' which exist on an electronic merchant platform for a long time are also more prominent. These problems have a significant impact on the consumer's shopping experience and the platform's public trust. Conventional merchandise auditing approaches typically rely on manual verification or simple automated rule matching, which makes it difficult to fully cover the diversity and complexity of merchandise information. For example, during the merchandise information entry stage, merchants may miss key attributes such as merchandise names, views or ingredient lists, etc., due to negligence or intentional concealment, resulting in insufficient information integrity. In addition, if the verification process of the commodity bar code is not effectively connected with the authority database, the condition that the bar code is forged or the information of the related enterprises is inconsistent may exist, so that the judgment of the authenticity of the commodity is affected. When the existing system processes the data, a multi-level verification mechanism is often lacking, and the reliability of the auditing result is easily reduced. Dynamic changes in merchandise information involve data interactions in multiple dimensions, including basic properties of the merchandise, promotional content, user feedback, and the like. The traditional auditing method generally lacks accurate capturing capability when facing the multi-source heterogeneous data, and is difficult to generate a complete commodity tracing chain. The parameter configuration of the detection equipment or the verification model depends on preset rules, cannot be dynamically adjusted according to real-time data, and when the commodity characteristics or the market environment change, the problems of reduced auditing precision or data deviation are easy to occur. In addition, in the aspect of abnormal information detection, the prior art mostly adopts fixed rule judgment, so that the method is difficult to adapt to the requirements of different commodity types and scenes. When information drift, data loss or abnormal operation of a merchant occur in the detection process, the system often cannot identify and trigger an effective adjustment mechanism in time, so that abnormal signals are ignored, and the accuracy of subsequent processing is affected. The existence of the problems limits the efficiency of commodity auditing and quality monitoring, and restricts the deep application of the commodity auditing and quality monitoring in an e-commerce platform. With the development of the blockchain technology, partial research attempts are applied to the commodity tracing and quality monitoring fields, but the existing system still has obvious defects in the aspects of multi-source data fusion, dynamic strategy generation, abnormal response and the like. For example, integration of multi-source data often stays at a simple record level, deep feature fusion cannot be achieved, generation of an analysis strategy lacks real-time interactive feedback with operation of a merchant, closed loop adjustment is difficult to form, sensitivity and specificity of an anomaly detection mechanism are to be improved, and real anomalies and system errors cannot be effectively distinguished. Therefore, the establishment of a commodity auditing and intelligent auditing system capable of realizing multi-source data deep fusion, dynamic strategy adjustment and accurate anomaly detection becomes a problem to be solved in the field of electronic commerce. Disclosure of Invention The invention aims to provide a tracing and quality monitoring system integrating commodity auditing and intelligent auditing so as to solve the problems in the background technology. In order to achieve the aim, the invention provides a tracing and quality monitoring system integrating commodity auditing and intelligent auditing, which comprises an information input unit, a data verification unit, a distributed storage network, an intelligent feedback module and a hierarchical auditing unit. The information input unit is used for receiving commodity basic information and display information