本文已被:浏览 731次 下载 1456次
Received:May 27, 2021 Revised:July 01, 2021
Received:May 27, 2021 Revised:July 01, 2021
中文摘要: 针对现有的视频点播技术无法直接在智慧矿山管控平台中直接使用的问题, 基于HTTP的自适应码率流媒体传输协议与FFmpeg开源库设计一种视频点播技术. 该技术包括客户端模块、Web请求处理模块、多媒体处理模块. 该技术中客户端模块通过设定的视频源信息向Web请求处理模块发送视频请求; Web请求处理模块利用请求中的视频源信息调用多媒体处理模块获取多媒体流文件, 并将流媒体文件请求地址返回给客户端; 客户端接收到流媒体地址后, 根据流媒体地址请求视频文件并播放. 通过引入hls.js开源库, 该技术可以在任何使用HTML5技术的客户端中实现视频信息的点播, 实现了智慧矿山管控平台的跨终端浏览器、多业务模块、去插件的嵌入视频信息, 满足了视频信息与煤矿安全生产的各业务信息的融合展示与协同分析的需求.
Abstract:To tackle the problem that the existing video on demand (VOD) technology cannot be directly used in the intelligent mine management and control platform, this paper designs a VOD technology based on the adaptive bitrate streaming media transport protocol of HTTP and FFmpeg open-source library. The technology includes client module, web request processing module and multimedia processing module. In this technology, the client module sends the video request to the web request processing module through the set video source information. The web request processing module uses the video source information in the request to call the multimedia processing module to obtain the multimedia streaming file and returns the request address of the streaming file to the client. After receiving the streaming media address, the client requests and plays the video file according to the streaming media address. By introducing hls.js open-source library, the technology can achieve VOD in any client using HTML5 technology, realize the embedded video information of cross-terminal browser, multi-business module and plug-in removal of the intelligent mine management and control platform, and meet the needs of fusion display and collaborative analysis of video information and various business information of coal mine safety production.
keywords: intelligent mine video on demand plug-in removal real time streaming adaptive bitstream media
文章编号: 中图分类号: 文献标志码:
基金项目:煤炭科学技术研究院技术创新基金(2019CX-I-09)
引用文本:
杨坤.面向智慧矿山管控平台的视频点播技术.计算机系统应用,2022,31(3):318-325
YANG Kun.Optical Flow Disturbance Effect in Moving Object Detection.COMPUTER SYSTEMS APPLICATIONS,2022,31(3):318-325
杨坤.面向智慧矿山管控平台的视频点播技术.计算机系统应用,2022,31(3):318-325
YANG Kun.Optical Flow Disturbance Effect in Moving Object Detection.COMPUTER SYSTEMS APPLICATIONS,2022,31(3):318-325