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基于AI技术的煤矿井下视频智能分析系统设计

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为了解决煤矿井下工人不安全行为的发现难、取证难、处理不及时等问题,在原有的视频监视系统基础上开发了一款视频图像分析系统,通过AI技术对视频中的异常行为进行建模和大数据分析,可以及时发现井下作业人员的不安全行为,发出报警信号,上传和存储相关数据,监管人员可以高效地采取应对措施,为煤矿安全智能监控及预警提供技术支撑.
Design of intelligent video analysis system for coal mine underground based on AI technology
In order to solve the problems of difficult discovery,difficult evidence collection and untimely handling of unsafe behaviors of coal mine underground workers,a video image analysis system was developed on the basis of the original video surveillance system,through AI technology,abnormal behaviors in videos can be modeled and big data analysis can be carried out,which can timely discover the unsafe behavior of underground workers,send alarm signals,upload and store relevant data,and supervisors can efficiently take countermeasures to provide technical support for intelligent monitoring and early warning of coal mine safety.

video analysisartificial intelligencebig data analysisunsafe behavior5G communication

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上海山源电子科技股份有限公司,上海 201612

视频分析 人工智能 大数据分析 不安全行为 5G通信

2024

煤炭科技
江苏省徐州矿务集团有限公司 江苏省煤炭学会 中国矿业大学

煤炭科技

影响因子:0.17
ISSN:1008-3731
年,卷(期):2024.45(3)