CN-121998733-A - Distribution channel compliance dial testing method, device, equipment and storage medium

CN121998733ACN 121998733 ACN121998733 ACN 121998733ACN-121998733-A

Abstract

The invention provides a method, a device, equipment and a storage medium for measuring compliance of distribution channels, and relates to the technical field of measurement, wherein the method comprises the steps of analyzing order snapshot data in a current time window of a distribution channel system to obtain multi-mode feature vectors; according to the multi-mode feature vector, detecting whether the distribution channel system has violations or not, generating a hash value according to the order snapshot data and the violations of the distribution channel system under the condition that the distribution channel system is detected to have violations, uploading the hash value to a blockchain node for certification, forming real-time certification information, and acquiring an electronic signature and a timestamp returned by the blockchain node for the real-time certification information.

Inventors

XIONG PENG
ZHANG TAO
YU JING
CHEN YAHUAN

Assignees

中国移动通信集团江西有限公司
中国移动通信集团有限公司

Dates

Publication Date: 20260508
Application Date: 20260112

Claims (12)

1. A method for measuring compliance of distribution channels, comprising: Analyzing the order snapshot data in the current time window of the distribution channel system to obtain a multi-mode feature vector; Detecting whether the distribution channel system has violations according to the multi-mode feature vector; Under the condition that the rule violation of the distribution channel system is detected, generating a hash value according to the order snapshot data and the rule violation information of the distribution channel system, and uploading the hash value to a blockchain node for evidence storage to form real-time evidence storage information; and acquiring an electronic signature and a time stamp returned by the blockchain node aiming at the real-time certification information.
2. The method according to claim 1, wherein the method further comprises: acquiring an order list from a customer relationship management system at a preset frequency; obtaining a plurality of initial order snapshot data from the distribution channel system according to the order list; And screening updated and/or changed order snapshot data from a plurality of initial order snapshot data in the current time window.
3. The method of claim 1, wherein parsing the order snapshot data within the current time window of the distribution channel system to obtain multi-modal feature vectors comprises: carrying out text analysis on a qualification file and a page text in order snapshot data in a current time window of the distribution channel system to obtain a text feature vector; carrying out image analysis on the compliance identification in the order snapshot data to obtain an image feature vector; carrying out semantic analysis on contract clauses in the order snapshot data to obtain semantic feature vectors; And splicing the text feature vector, the image feature vector and the semantic feature vector to obtain a multi-modal feature vector.
4. A method according to claim 3, wherein text parsing the qualification file and the page text in the order snapshot data within the current time window of the distribution channel system to obtain text feature vectors comprises: Judging whether a qualification file and a page text in order snapshot data of a distribution channel system are changed or not by monitoring a Document Object Model (DOM) node tree; and under the condition that the qualification file and the page text are judged to be changed, carrying out text analysis on the qualification file and the page text to obtain text feature vectors.
5. The method of claim 1, wherein detecting whether there is a violation of the distribution channel system based on the multimodal feature vector comprises: Detecting whether the distribution channel system has violations according to the multi-mode feature vector and the anomaly detection model; The anomaly detection model comprises a supervision learning module, a semi-supervision learning module and a reinforcement learning module, wherein the supervision learning module is used for constructing a compliance judgment standard in advance and judging whether the multi-mode feature vector is illegal according to the compliance judgment standard to obtain a judgment result, the semi-supervision learning module is used for identifying suspected illegal types corresponding to the multi-mode feature vector to obtain an identification result, and the reinforcement learning module is used for obtaining a compliance score of the distribution channel system according to the judgment result and the identification result and detecting whether the distribution channel system is illegal according to the compliance score.
6. The method of claim 5, wherein the step of determining the position of the probe is performed, the method further comprises one of: acquiring the risk grade of the distribution channel system according to the compliance score, acquiring the risk diffusion trend information of the distribution channel system according to the risk grade and a risk diffusion trend prediction model, and executing corresponding early warning processing according to the risk diffusion trend information; And obtaining the mapping color of the distribution channel system in a risk early warning thermodynamic diagram according to the compliance score, and displaying the distribution channel system in the risk early warning thermodynamic diagram according to the mapping color.
7. The method of claim 5, wherein the method further comprises: Acquiring historical violation evidence related to the distribution channel system according to a pre-constructed violation guide chain, wherein the violation guide chain is constructed according to distributor information, qualification files and violation types extracted from historical order snapshot data; and judging the decision data of the violations of the multi-mode feature vector according to the historical violation evidence and the anomaly detection model, and obtaining the violation information of the distribution channel system.
8. The method of claim 1, wherein uploading the hash value to a blockchain node for certification, forming real-time certification information, comprises: acquiring historical evidence information associated with the violation information; triggering a certification transaction according to a preset business rule, and uploading the hash value and the historical certification information to a blockchain node for certification to form real-time certification information.
9. A device for measuring compliance of distribution channels, comprising: The analysis module is used for analyzing the order snapshot data in the current time window of the distribution channel system to obtain a multi-mode feature vector; The detection module is used for detecting whether the distribution channel system has violations according to the multi-mode feature vector; the certification storage module is used for generating a hash value according to the order snapshot data and the violation information of the distribution channel system under the condition that the violation of the distribution channel system is detected, and uploading the hash value to a blockchain node for certification storage to form real-time certification storage information; and the acquisition module is used for acquiring the electronic signature and the time stamp returned by the blockchain node aiming at the real-time evidence storage information.
10. A distribution channel compliance dial testing device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, the processor implementing the distribution channel compliance dial testing method of any one of claims 1 to 8 when executing the program or instruction.
11. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, which when executed by a processor, implements a method of dial testing distribution channel compliance according to any one of claims 1 to 8.
12. A computer program product comprising computer instructions which, when executed by a processor, implement a method of dial testing distribution channel compliance according to any one of claims 1 to 8.

Description

Distribution channel compliance dial testing method, device, equipment and storage medium Technical Field The invention relates to the technical field of dial testing, in particular to a dial testing method, device and equipment for distribution channel compliance and a storage medium. Background The distribution channel compliance dial testing method is used for realizing distribution channel page elements such as commodity information, compliance identification, interaction components and acceptance processes such as qualification audit, order processing and authority verification. The existing distribution channel compliance measurement method mainly depends on a preset test script and a template, is difficult to deal with dynamic changes of the distribution channel pages, is focused on post supervision, cannot perform compliance detection in real time in a distribution channel acceptance process, and is difficult to prevent illegal behaviors in time. Disclosure of Invention At least one embodiment of the invention provides a method, a device, equipment and a storage medium for measuring compliance of distribution channels, which are used for solving the problems that the compliance detection cannot be performed in real time in the distribution channel acceptance flow in the prior art, and the occurrence of illegal behaviors is difficult to be prevented in time. In order to solve the technical problems, the invention is realized as follows: in a first aspect, an embodiment of the present invention provides a method for measuring distribution channel compliance, including: Analyzing the order snapshot data in the current time window of the distribution channel system to obtain a multi-mode feature vector; Detecting whether the distribution channel system has violations according to the multi-mode feature vector; Under the condition that the rule violation of the distribution channel system is detected, generating a hash value according to the order snapshot data and the rule violation information of the distribution channel system, and uploading the hash value to a blockchain node for evidence storage to form real-time evidence storage information; and acquiring an electronic signature and a time stamp returned by the blockchain node aiming at the real-time certification information. Optionally, the method for measuring compliance of distribution channels includes: acquiring an order list from a customer relationship management system at a preset frequency; obtaining a plurality of initial order snapshot data from the distribution channel system according to the order list; And screening updated and/or changed order snapshot data from a plurality of initial order snapshot data in the current time window. Optionally, the method for measuring compliance of distribution channels includes analyzing order snapshot data in a current time window of the distribution channel system to obtain a multi-mode feature vector, including: carrying out text analysis on a qualification file and a page text in order snapshot data in a current time window of the distribution channel system to obtain a text feature vector; carrying out image analysis on the compliance identification in the order snapshot data to obtain an image feature vector; carrying out semantic analysis on contract clauses in the order snapshot data to obtain semantic feature vectors; And splicing the text feature vector, the image feature vector and the semantic feature vector to obtain a multi-modal feature vector. Optionally, the method for measuring compliance of distribution channels includes performing text analysis on a qualification file and a page text in order snapshot data in a current time window of a distribution channel system to obtain a text feature vector, where the text feature vector includes: Judging whether a qualification file and a page text in order snapshot data of a distribution channel system are changed or not by monitoring a Document Object Model (DOM) node tree; and under the condition that the qualification file and the page text are judged to be changed, carrying out text analysis on the qualification file and the page text to obtain text feature vectors. Optionally, the method for measuring compliance of distribution channels includes detecting whether the distribution channel system has a violation according to the multi-modal feature vector, including: Detecting whether the distribution channel system has violations according to the multi-mode feature vector and the anomaly detection model; The anomaly detection model comprises a supervision learning module, a semi-supervision learning module and a reinforcement learning module, wherein the supervision learning module is used for constructing a compliance judgment standard in advance and judging whether the multi-mode feature vector is illegal according to the compliance judgment standard to obtain a judgment result, the semi-supervision learning module is used for identi