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.