A wechat group public opinion on electricity rapid screening, labeling and closed-loop disposal method and system based on RPA and AI image recognition

Abstract

The application discloses a WeChat group public opinion on electricity rapid screening, marking and closed-loop treatment method and system based on RPA and AI image recognition, and belongs to the field of information technology and industrial automation. The method comprises the following steps: automatically collecting multimedia messages of WeChat groups through RPA robots; performing image character recognition and conversion by using a locally deployed OCR engine; performing rapid screening and false alarm elimination based on a pre-set domain sensitive word library and an associated non-sensitive word library; performing risk level determination and visual marking on the screening result; finally, generating a standardized work order and automatically pushing the work order to a business system to form a closed loop. Correspondingly, the system comprises a message collection module, a local recognition module, an intelligent screening engine, a hierarchical marking module and a work order pushing module. The core innovation of the application lies in that an AI recognition and processing architecture is locally deployed offline, so that data is not externally overflowed in the whole process, and through intelligent screening, structured preprocessing and business coding management, a full-process, automatic and intelligent closed loop from public opinion discovery to work order treatment is realized, and the application is particularly suitable for social group public opinion monitoring and service improvement in high-security industries such as electric power.

Description

Technical Field

[0001] This invention relates to the fields of information technology and industrial automation technology, and in particular to a method and system for monitoring and intelligently processing online public opinion in specific industries. Specifically, this invention provides a solution for rapid screening, visual annotation, and fully automated closed-loop processing of WeChat group public opinion based on Robotic Process Automation (RPA) and local artificial intelligence (AI) image recognition technologies. Background Technology

[0002] WeChat groups have become an important communication channel for the public to express their demands and provide feedback. For public service industries such as electricity and government affairs, it is necessary to collect public opinion and risk information from group chat messages in real time. Currently, public opinion monitoring of WeChat groups mainly relies on manual work, which suffers from problems such as slow processing speed, incomplete message coverage, long response time, and high identification error rate, and it is difficult to achieve 24 / 7 uninterrupted monitoring.

[0003] Most existing online public opinion monitoring systems target publicly available web pages or social media platform text, employing keyword matching or cloud-based artificial intelligence services for analysis. These solutions face technical adaptation difficulties when applied to WeChat group scenarios: First, they lack the ability to automatically and compliantly access and collect group chat data; second, they are insufficient in processing large amounts of unstructured information such as images and voice messages within groups, and their reliance on cloud services poses a risk of data security leaks, failing to meet the network isolation requirements of high-security industries such as the power sector; finally, the functionality of existing solutions is typically limited to monitoring and alerting, making it difficult to integrate with the complex work order processes and handling procedures within these industries, thus failing to form a closed-loop business process.

[0004] Especially in the power industry, the State Grid Corporation of China has strict regulations on information security, strictly prohibiting the transfer of internal business data via the Internet. Therefore, there is a need for a dedicated system that can be deployed in a secure Internet environment, unidirectionally pushing power-related public opinion data to the internal network, and achieving full automation and closed-loop processing from automatic data collection, intelligent identification, and risk assessment in WeChat groups to work order generation and push, in order to shorten the time interval between the generation of public opinion information and the generation of work orders. Summary of the Invention

[0005] This invention provides a method and system for rapid screening, labeling, and closed-loop handling of public opinion in WeChat groups based on RPA and AI image recognition. The core objective of this invention is to achieve real-time monitoring, intelligent analysis, and tiered early warning of massive amounts of WeChat group information while ensuring data security, and to connect with internal business systems through standardized interfaces to complete an automated closed-loop handling process.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: Firstly, the present invention provides a method for rapid screening and closed-loop handling of public opinion in WeChat groups based on RPA and AI image recognition, characterized by the following steps: Step S1: Automatically collect multimedia messages in the target WeChat group using an RPA robot; Step S2: Use a locally deployed OCR engine to perform text recognition on the image information in the multimedia messages, converting it into text information; Step S3: Based on a preset domain sensitive word library and associated non-sensitive word library, quickly match, screen, and eliminate false alarms on the text information; Step S4: Determine the risk level of the screened public opinion information and visually annotate it on the original message interface based on the determination result; Step S5: Structure the annotated public opinion information, generate a standardized work order conforming to the business system interface specification, and automatically push it, forming a closed-loop handling process.

[0007] As a further improvement to the method of the present invention, the sensitive word library and the non-sensitive word library support dynamic updates and incremental training based on manual review feedback and historical data mining.

[0008] As a further improvement to the method of the present invention, before step S3, a preprocessing step S2a is also included: performing structured processing on the collected original group chat information, the processing including: parsing and labeling the speaker's role, constructing an effective information sequence according to the speaking time, and injecting domain knowledge auxiliary explanatory text.

[0009] As a further improvement to the method of the present invention, the visualization annotation in step S4 uses different colored borders to correspond to different risk levels, and at least reflects the timeline of the public opinion event and the location of key content on the annotation image.

[0010] Secondly, this invention provides a WeChat group public opinion rapid screening and closed-loop handling system for implementing the above-mentioned method, characterized by comprising: a message acquisition module, which automatically listens to and captures WeChat group messages based on RPA technology; a local recognition module, which uses an offline deployed OCR engine for image text recognition; an intelligent screening engine, which has built-in updatable sensitive word and non-sensitive word libraries for initial information screening and false alarm elimination; a hierarchical labeling module, which is used for risk assessment and visual label generation; and a work order push module, which is used for generating structured work orders and calling interfaces with external business systems.

[0011] As a further improvement to the system of this invention, the local identification module is deployed in a secure isolation zone without external network access, ensuring that the original group chat data and intermediate identification data are processed entirely within the intranet environment. This design meets data security compliance requirements.

[0012] As a further improvement to the system of the present invention, the system also includes a preprocessing module, which performs speaker role identification, effective time window filtering and domain knowledge text injection operations on the raw information output by the message collection module, so as to improve the accuracy of subsequent intelligent analysis.

[0013] As a further improvement to the system of the present invention, the system also includes a coding management module, which is used to assign and manage unique structured codes for the monitored WeChat groups, responsible persons and business areas, so that each piece of public opinion information can be automatically and accurately associated with a specific responsible unit, thereby realizing traceability and management.

[0014] The beneficial effects of this invention are as follows: 1. The entire process is completed collaboratively by RPA and AI modules: message collection, OCR recognition, risk screening, annotation generation, and work order push are all automatically executed by the system. 2. The data processing process meets physical isolation requirements: the original group chat data and intermediate OCR results are completed in an isolated environment without external network access. 3. It supports dynamically updated sensitive and non-sensitive word libraries; includes context preprocessing steps; and has multi-level risk assessment and visual annotation functions. 4. Through standardized interfaces and coded management modules, it can interface with the power marketing system to achieve automatic cross-system instruction push and status feedback, shortening the processing time from the emergence of public opinion to work order generation. Attached Figure Description

[0015] Figure 1 This is a module structure diagram of the system of the present invention; Figure 2 This is a flowchart of the steps of the method of the present invention; Figure 3 This is a schematic diagram of the visual annotation in this invention.

Claims

1. A method for rapid screening and closed-loop handling of public opinion in WeChat groups based on RPA and AI image recognition, characterized in that, Includes the following steps: S1: Automatically collect multimedia messages in the target WeChat group using an RPA robot; S2: Use the locally deployed OCR engine to perform text recognition on the image information in the multimedia message and convert it into text information; S3: Based on the preset domain sensitive word library and associated non-sensitive word library, quickly match, screen and eliminate false alarms on the text information; S4: Determine the risk level of the screened public opinion information and make visual annotations on the original message interface based on the determination results; S5: Structure the annotated public opinion information, generate standardized work orders that conform to the business system interface specifications and push them automatically to form a closed loop of handling.

2. The method according to claim 1, characterized in that, The sensitive word library and the non-sensitive word library support dynamic updates and incremental training based on manual review feedback and historical data mining.

3. The method according to claim 1, characterized in that, Before step S3, a preprocessing step S2a is also included: performing structured processing on the collected raw group chat information, the processing including: parsing and labeling the speaker's role, constructing an effective information sequence according to the speaking time, and injecting domain knowledge auxiliary explanatory text.

4. The method according to claim 1, characterized in that, The visualization annotations described in step S4 use different colored borders to correspond to different risk levels, and at least the timeline of the public opinion event and the location of key content are reflected on the annotated image.

5. A WeChat group public opinion rapid screening and closed-loop handling system for implementing the method of any one of claims 1-4, characterized in that, include: The message acquisition module uses RPA technology to automatically listen to and capture WeChat group messages. The local recognition module uses an offline-deployed OCR engine for image text recognition; the intelligent screening engine has built-in updatable sensitive and non-sensitive word libraries for initial information screening and false alarm elimination. The hierarchical annotation module is used for risk assessment and visual annotation generation; The work order push module is used to generate structured work orders and call interfaces with external business systems.

6. The system according to claim 5, characterized in that, The local identification module is deployed in a secure isolation zone without external network access, ensuring that the original group chat data and intermediate identification data are processed entirely within the intranet environment.

7. The system according to claim 5, characterized in that, It also includes a preprocessing module, which performs speaker role identification, effective time window filtering, and domain knowledge text injection operations on the raw information output by the message collection module.

8. The system according to claim 5, characterized in that, It also includes a coding management module, which is used to assign and manage unique structured codes for monitored WeChat groups, responsible personnel and power supply areas, so that public opinion information can be automatically associated with the codes.

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