Video monitoring method and monitoring system based on Storm technology

Abstract

The invention discloses a video monitoring method and monitoring system based on Storm technology, comprising: a Storm cluster and storage nodes, the Storm cluster includes at least one topology operation module, and the topology operation module includes: a data source component Spout and several processing components Bolt, The data source component Spout is used to configure tags for video data for distributed storage, and decomposes video data into task data blocks according to the preset logical topology, and distributes them to the corresponding processing component Bolt; the processing component Bolt is used according to the logical topology The included processing rules process the received task data blocks accordingly, and output the decoded video content to the display device for display. The technical scheme of the present invention realizes video data processing based on the Storm framework, which can effectively improve the processing speed of video data to meet the real-time requirements in the field of video surveillance; in addition, the video surveillance system can support the storage and linkage of large data The processing of video data in the scene.

Description

technical field [0001] The invention relates to the field of video monitoring, in particular to a video monitoring method and monitoring system based on Storm technology. Background technique [0002] figure 1 It is a schematic structural diagram of an existing video surveillance system, such as figure 1 As shown, the existing video surveillance system is mainly composed of several cameras, switches, and a monitoring platform. The cameras are used to generate corresponding video data streams according to the monitoring images, and the switches are used to send the video data streams to the monitoring platform. It is used to process the received video data streams, obtain corresponding video content, and store or play the video content. [0003] Although the existing technical solutions have solved the data acquisition and data storage capabilities of video surveillance, there are still the following problems: [0004] 1. Data collection is relatively simple. For a video ...

AI Technical Summary

Problems solved by technology

[0004] 1. Data collection is relatively simple

For a video surveillance system deployed in a certain area, the collected data can only be aimed at the video data in this area, and cannot achieve cross-regional data monitoring capabilities. However, the existing business requirements may be more for large-scale, cross-regional video surveillance system

[0005] 2. Data analysis and processing capabilities are relatively weak

The existing video surveillance system is mainly oriented to the processing of video data streams in the corresponding area. The platform access or platform analysis capabilities of the monitoring platform are mainly oriented to the business needs of a specific area, and the data processing capabilities have not yet achieved cross-regional support. Data processing capabilities, and with the continuous development of current business needs, the data analysis and processing capabilities of the existing monitoring platform cannot meet the needs

[0006] 3. Data analysis and processing linkage capabilities are relatively weak

In terms of data processing and analysis, existing video surveillance systems are mainly oriented to the processing of video data streams in a single area. The linkage mechanism for video analysis and processing is lacking, and the video analysis capabilities in linkage scenarios cannot meet the requirements. The integration and data analysis of the previous data is realized by the way of data processing or the way of later data processing, which is relatively inefficient.

Images