基于人工智能技术的氮肥生产故障预警装置设计研究

Research on the design of nitrogen fertilizer production fault early warning device based on artificial intelligence technology

本文针对氮肥生产的特殊复杂性、设备故障影响因素的繁杂性等,提出基于人工智能技术的氮肥生产故障预警装置,该设计方案中主要流程为:原始生产数据输入、卷积神经网络(CNN)计算模型预训练、实时生产数据输入、模型计算、故障类型的预测及报警,并进行了装置的结构设计。最终,通过人工智能技术,实现化工生产过程的优化,更高效地保障了生产过程的安全,提高生产效率,也为其他领域的智能化优化提供思路。

In view of the special complexity of nitrogen fertilizer production and the complexity of the factors affecting equipment failure,this paper proposes an early warning device for nitrogen fertilizer production failure based on artificial intelligence technology.The main flow of the design is:original production data input,convolution neural network (CNN) calculation model pre training,real-time production data input,model calculation,failure type prediction and alarm And the structure of the device is designed.Finally,through the artificial intelligence technology,the optimization of chemical production process is realized,which ensures the safety of production process more efficiently,improves production efficiency,and provides ideas for intelligent optimization in other fields.