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

本研究项目旨在探讨间歇式工厂的规划、控制和运行中各种问题的关系，并在通用模型的基础上建立一个解决这些问题的框架。为了实现这一目标，我们首先研究了化工批处理厂的规划问题，以处理面向敏捷生产的不稳定和不确定的决策环境。提出了一种验证运营策略公平性和可控性的新方法。提出了一种可以嵌入产品产量或生产需求不确定性的分散供应链管理系统模型。其次，我们研究了批量控制系统的设计问题，以综合操作程序和程序控制器。提出了一种利用过程和设备信息构建基于Petri网的分层批控制系统模型的方法。通过对模型行为的分析，合成了操作程序。结果表明，该模型可用于设备故障诊断。提出了一种包含心理状态的认知信息处理模型来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应对异常情况。然后建立了统一规划、控制和操作问题的通用模型，并对其解决方案进行了评价，最后提出了在通用模型的基础上协同解决各种批量过程问题的框架。

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.