天然气加热炉的人工智能控制与维护

Hao Chen, Yun Guo, Yeyu Ouyang
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引用次数: 0

摘要

本文从人工智能自动控制和维护机器人两个方面对天然气加热炉进行了阐述。自动控制系统将灰色预测和广义回归神经网络与大数据分析相结合,提高系统的智能控制,分析数据能力,减少人力投入,降低成本预算,提高工作效率。为了满足智能化需求,还设计了针对天然气加热炉的智能机器人,中国在这方面还处于空白阶段,根据加热炉的特点,设计具有实际意义和价值的机器人,机器人具有超声波检测系统、水垢观测系统、图像采集系统等,为燃气加热炉大修提供有力保障。
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Artificial Intelligent Control and Maintenance of Natural Gas Heating Furnace
This paper expounds the natural gas heating furnace from two aspects of AI automatic control and maintenance robot.The automatic control system combines grey prediction and generalized regression neural network with big data analysis to improve the intelligent control of the system, analyze data ability, reduce manpower input, reduce cost budget and improve work efficiency.Intelligent in order to meet the demand, but also designed for natural gas heating furnace of intelligent robot, China in this area is still in the blank stage, according to the characteristics of the heating furnace, design has practical significance and value of robots, robot with ultrasonic testing system, scale observation system, such as image acquisition system, provide a powerful guarantee for gas furnace overhaul.
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