可视化智能识别技术在电力安全生产管控中的应用研究

Research on Application of Visual Intelligent Identification Technology in Electric Power Safety Production Control

近年来,随着我国经济水平大幅度提升,电力行业获得蓬勃发展。对于电力行业而言,安全生产管控无疑是一大难点,传统管控方式未能达到预期目标,不利于高效管控。可视化智能识别技术广泛应用于多个领域。电力生产现场有着较高的危险系数,可视化智能识别技术通过先进深度学习算法识别人脸与特定工作岗位,解决安全生产中人员与设备非安全行为以及管理疏漏等问题,有效保障电力生产安全。

In recent years,with the significant improvement of China’s economic level,the power industry has also gained vigorous development under this background.For the power industry,safety production control is undoubtedly a major difficulty,and the traditional control method fails to achieve the expected goal,which is not conducive to efficient control.Visual intelligent recognition technology is the product of the development of science and technology and is widely used in many social fields.Electric power production site has a relatively high risk coefficient,visual intelligent recognition technology through advanced deep learning algorithm to identify faces and specific jobs,to solve the safety of production personnel and equipment unsafe behavior and management omissions and other problems,effectively ensure the safety of electric power production.