The invention provides a plug-in work order auxiliary decision-making method and
system based on
artificial intelligence, and belongs to the technical field of
artificial intelligence. According to the invention, a plug-in work order assistant scheme is adopted to reduce the transformation cost of a work
order processing system of an enterprise, and the existing systems and processes are reused tothe maximum extent; meanwhile, the front platform and the rear platform of the plug-in work order assistant are deployed in an enterprise internal network, data is obtained in a page monitoring and interface
butt joint mode, the reading and writing of the whole
database are avoided, and the safety of the data is improved; secondly, the functions of user problem classification, automatic work order distribution, work order portrait construction and priority calculation, work order information automatic query and display,
intelligent decision of a solution, automatic backfilling of scheme information and the like are achieved through the
artificial intelligence technology, and the intelligent degree of work
order processing is improved; and finally, the modularized
algorithm module supportsthe development and optimization of an
algorithm model in a work order assistant, so that the modeling efficiency is improved, and the transformation and deployment cost caused by the
algorithm optimization after the
system is online is reduced.