Automatic fluorogram playing system and method applied to real-time big data scene

Abstract

The invention provides an automatic fluorogram playing system and method applied to a real-time big data scene. The automatic fluorogram playing system comprises a radio networking monitoring platform, a data acquisition module, a data processing module, a data extraction module and a data playing module; the radio networking monitoring platform is used for realizing networking of monitoring equipment, networking the equipment, issuing a monitoring task to the equipment, generating binary stream data transmitted by the equipment into a file through the data acquisition module, storing the file, and deframing the binary stream data through the data processing module; the data processing module processes the data and then stores result data into an MPP database; and the monitoring application queries corresponding result data from the MPP database through the data extraction module according to the time range and the frequency band range, and automatically plays the result data accordingto a 15-minute granularity fluorogram through the data playing module.

Description

technical field [0001] The invention belongs to the technical field of fluorescence images, and in particular relates to a system and method for automatically playing fluorescence images applied in a real-time big data scene. Background technique [0002] Radio resources are important strategic resources of the country, and the radio networking monitoring platform is an important tool for radio management departments to manage radio resources. The radio management department often needs to view and analyze the networked monitoring data in their daily work, but for the massive networked monitoring data, it is impossible for the monitoring personnel to pay attention to the monitoring data on the networked monitoring platform in real time, so there is a need for functions to support the monitoring personnel. View and analyze the monitoring data. However, monitoring personnel need to view and analyze a large amount of monitoring data, and they cannot intuitively get the results...

AI Technical Summary

Problems solved by technology

[0005]1. Generating a static fluorescence map in the case of a large amount of data cannot meet the needs of users for real-time query, and it will take a long time to query the full amount of data at one time to query the results;

[0006]2. It takes a long time to display and render the front-end page after obtaining the full amount of data, and the one-time rendering will put a lot of pressure on the system, resulting in reduced usability ;

[0007]3. Rendering the fluorescence map according to the monitoring data frame will cause the user to wait for a long time when they want to see the full amount of data, and it is difficult for the user due to the large amount of data Effective statistical analysis of data

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