Development of Planning, Control and Operation Support System for Batch Plants Based on Common Models

本研究旨在探讨间歇生产的规划、控制与运作的各种问题之间的关系，并在通用模型的基础上开发一个解决这些问题的框架。提出了一种新的验证运营策略公平性和可控性的方法。提出了一种分散式供应链管理系统模型，该模型可以嵌入产品产量或生产需求的不确定性。其次，我们研究了批处理控制系统的设计问题，综合了操作过程和过程控制器。提出了一种利用过程和被控对象的信息建立基于Petri网的递阶间歇控制系统模型的方法。通过对模型行为的分析，综合出操作步骤。此外，该模型还可用于设备故障诊断。第三，研究了人机管理系统的设计问题，提出了一种包含心理状态的认知信息处理模型，用于模拟工厂操作员在异常情况下的行为。在该模型的基础上，提出了故障传感器的诊断方法和故障诊断过滤器。提出了一个统一计划、控制和操作问题的通用模型，并对其解决方案进行了评估，最后在通用模型的基础上给出了一个协同求解各种间歇过程问题的框架。

This research project aims at discussing the relation of various problems regarding planning, control and operation of batch plants and developing a framework to solve these problems based on common models.To achieve this objective, we first investigate chemical batch plant planning problems to deal with unstable and uncertain decision circumstances toward agile productions. A new methodology for verifying fairness and controllability of operational strategies is proposed. A model of a decentralized supply chain management system is also proposed in which the uncertainties on the yield of products or production demands can be embedded. We second investigate batch control system design problems to synthesize operating procedures and procedural controllers. A method of constructing a Petri net based hierarchical batch control system model using information about process and plant is presented. Operating procedures are synthesized by analyzing the behavior of the model. Moreover, it is shown that the model can be used to diagnose plant failures. We third investigate man-machine management system design problem A cognitive information processing model which incorporates the mental state to simulate a plant operator's behavior under abnormal situations is developed. In addition to this model, a diagnosis method of faulty sensors and a failure diagnosis filter are developed. These results can be used to study how to cope with abnormal situations.We next develop a common model to unify planning, control and operation problems and to evaluate their solutions, and last present a framework to solve cooperatively various batch process problems on the basis of the common model.