Large-screen visualized real-time display system for invoicing data

Abstract

The invention discloses a large-screen visualized real-time display system for invoicing data. The system is composed of a front-end display module and a rear-end data processing module, the front-end display module and the rear-end data processing module are decoupled, and the system comprises: the front-end display module which is used for dynamically requesting invoicing data from the data processing module according to front-end display requirements, and displaying the acquired invoicing data at the front end; and the rear-end data processing module which receives the invoicing data request sent by the front-end display module and provides the processed invoicing data to the front-end display module.

Description

technical field [0001] This application relates to the technical field of data visualization, in particular to a large-screen visualized real-time display system for invoicing data. Background technique [0002] In order to have a measurable data reference for the business development of the billing system, to satisfy the statistical analysis of the billing data in various regions, and to grasp the dynamic changes of the billing data in real time and efficiently, it is necessary to perform statistical and visual display of the billing system data. As a display tool, the invoice data large-screen visualization system not only transmits images and data signals to the large screen for display to users, but also needs to conduct efficient analysis and intuitive display of massive data information to help management decision-makers discover The relationship and laws behind the data provide reference for scientific decision-making. Visual data processing is to adjust a large amou...

AI Technical Summary

Problems solved by technology

[0004] 1. Cannot carry more data statistics

[0005] With the use and popularization of electronic invoices, the growth of invoice data is increasing day by day. The existing coding and statistical methods always cause problems such as system freezes, missing and inaccurate data statistics.

[0006] 2. Cannot respond to data changes in real time and efficiently

[0007] The substantial increase in the amount of data has resulted in data statistics always lagging behind real-time data changes, and it is impossible to give real-time and efficient data statistics feedback in the first time

[0008] 3. It is impossible to decouple the front-end display function from the back-end statistical function

[0009] The traditional coding method of front-end and back-end integration leads to slow coding development, low professionalism, and cannot efficiently realize the research and development of data visualization system

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