基于多 Agent 的农产品加工设备用智能诊断系统的设计

摘要

Based on the research of intelligent diagnostic systems and Multi-Agent technology,intelligent diagnosis model of the agricultural products processing equipment was built on the base of multi-agent. The fault was divided into two types:hardware fault and software fault. And the software fault sample was trained using the diagnosis decision-making based on the theory of neural networks. The experimental results of the training showed that the diagnosis decision-making was effective.%　　在对智能诊断系统和多 Agent 技术研究的基础上，构建了基于多 Agent 的农产品加工用智能诊断模型。并对故障分类中的软故障样本采用基于神经网络理论进行的诊断决策机制进行了训练，实验训练结果表明该诊断决策机制能够对种蛋识别设备进行有效的故障诊断。