研究流程工业中模糊控制和故障诊断的建模和网络综合集成．通过局域网集成系统实现各控制单元传感数据的共享以及流程生产过程的监控和报警，从而提高了制造系统的效率．提出了基于人工神经网和遗传算法的模糊控制建模方法，以及基于综合模型（人工神经网、案例、规则、对象模型）的故障诊断的建模和推理． Research process industry fuzzy control and fault diagnosis modeling and network integration. Through the integration of local area network to achieve the control unit sensing data sharing and process monitoring and alarm production process, thereby enhancing the efficiency of the manufacturing system. A fuzzy control modeling method based on artificial neural network and genetic algorithm is proposed, as well as the modeling and reasoning of fault diagnosis based on synthetic model (artificial neural network, case, rule, object model).