Big data-based intelligent schedule management system

Abstract

The invention relates to the fields of a big data technology and the like, in particular to a big data-based intelligent schedule management system. The system comprises a demand plan locating module,a state monitoring module, an environment monitoring module, a schedule plan generation module, a schedule plan cleaning module, a schedule plan pushing module, a real-time schedule change module, adata sharing module, a schedule plan evaluation module and a historical data report module. By utilizing big data analysis, user demands, states and environments are efficiently analyzed and a schedule plan data list is generated, cleaned and updated in real time; after schedule plan data is shared and evaluated, the data is updated through data chart visualization; and therefore, a data service user is formed, and the user perfects a virtuous circle of the data, namely, schedule plan arrangement is provided for the user by using increasingly improved service quality. The deficiencies of conventional schedule management in schedule plan intelligent generation and real-time humanized adjustment are overcome.

Description

technical field [0001] The invention relates to the fields of big data technology and the like, in particular to an intelligent schedule management system based on big data. Background technique [0002] The current schedule management software running on mobile terminals or PCs is often a simple time and date trigger program, that is, the user sets a certain time on a certain day to handle a certain matter, and when the system detects that the date and time meet the preset conditions, it will automatically trigger a reminder . [0003] This traditional schedule management software is lacking in the intelligent generation of schedules and real-time humanized adjustments; the problems it cannot solve include: simplifying input / output, intelligently analyzing user needs, intelligently adjusting / changing plans, and updating data. Synchronization and sharing, data self-optimization, etc. Contents of the invention [0004] The technical problem solved by the present invention...

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Problems solved by technology

[0003] This traditional schedule management software is lacking in the intelligent generation of schedules and real-time humanized adjustments; the problems it cannot solve include: simplifying input / output, intelligently analyzing user needs, intelligently adjusting / changing plans, and updating data. Synchronization and sharing, data self-optimization, etc.

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