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

本研究的目的在于探讨间歇式工厂的规划、控制与操作等问题之间的关系，并建立一个基于通用模型的框架来解决这些问题。为了实现这一目标，我们首先研究了化工间歇式工厂的规划问题，以处理面向敏捷生产的不稳定和不确定的决策环境。提出了一种新的方法来验证操作策略的公平性和可控性。本文还提出了一个分散式供应链管理系统模型，其中可以嵌入产品产量或生产需求的不确定性。我们第二次调查批量控制系统的设计问题，综合操作程序和程序控制器。提出了一种利用过程和对象信息建立分层批控制系统模型的方法。通过分析模型的行为，合成操作程序。此外，它表明，该模型可用于诊断植物故障。第三，我们研究人机管理系统的设计问题，一个认知信息处理模型，其中包括心理状态，以模拟工厂操作员在异常情况下的行为。在此基础上，提出了故障传感器的诊断方法和故障诊断滤波器。这些结果可以用来研究如何科普异常情况。我们接下来开发了一个通用模型，统一规划，控制和操作问题，并评估其解决方案，最后提出了一个框架，协同解决各种批处理问题的基础上的通用模型。

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.