煤气化-无烟燃烧立式锅炉内空气动力场的数值模拟研究

采用RNGk ε湍流模型、其动量方程利用具有三阶精度的QUICK格式离散的方法 ,对一台采用了无烟燃烧技术的锅炉炉内冷态流场进行了数值模拟 ,并根据模拟结果对这一新技术进行了理论上的探讨     

工业废水可生化性测试技术

本文分析了现有的测定工业废水可生化性的一些主要方法，并探讨了几种可生化性测试技术在石化行业污水处理中应用的可行性和方法。     

基于产业结构调整的苏州工业园区技能型人才需求的预测及分析

经济要发展,人才是根本。区域产业结构调整与转型升级必然会引发人才需求的变化。做好产业结构调整大势之下区域技能型人才的需求预测,对于引导属地职业院校及时调整专业设置和人才培养计划,更好地服务区域经济发展,促进区域经济成功升级转型,具有重大意义。本调查立足园区,服务园区,通过对调查数据的综合分析,在人才培养、体制架构等方面提出了建设性的意见。     

直链烷基苯生产原料选择性工业生产试验

选择了两种烷烃类原料,采用与MOLEX烷烃混兑方法,在UOP-HF法烷基化装置上进行了直链烷基苯工业生产实验,考察了对工艺过程和产品质量的影响。结果表明,采用上述混兑方法生产,产品烷基苯质量可满足国标要求,但工艺数据发生变化。进一步的磺化工业实验表明,磺酸质量可达到国标要求。     

基于Web技术的化工工业过程远程监控系统

根据实际的工业生产过程,在分析远程监控系统功能和层次结构的基础上,提出了基于Web技术的工业过程远程监控系统体系结构。从系统开发角度出发,研究了在Web技术下的工业过程远程监控系统所涉及的Web应用程序开发、Socket数据通信、JDBC数据库访问、数据采集、控制策略、实时数据发布等关键技术,并设计实现了一个高可靠性工业过程远程监控系统。通过实例的应用和系统长时间的运行表明,本系统具有运行稳定、控制动作迅速、数据传送实时性好等优点。     

稳健性设计技术──（Ⅳ）稳健性设计软件包RPDPACK的主要功能

介绍了稳健性设计软件包ＲＰＤＰＡＣＫ的主要功能以及其使用方法。     

An architecture for adaptive fuzzy control in industrial environments

The paper presents an architecture for adaptive fuzzy control of industrial systems. Both conventional and adaptive fuzzy control can be designed. The control methodology can integrate a priori knowledge about the control and/or about the plant, with on-line control adaptation mechanisms to cope with time-varying and/or uncertain plant parameters. The paper presents the fuzzy control software architecture that can be integrated in industrial processing and communication structures. It includes four distinct modules: a mathematical fuzzy library, a graphical user interface (GUI), fuzzy controller, and industrial communication. Three types of adaptive fuzzy control methods have been studied, and compared: (1) direct adaptive, (2) indirect adaptive, and (3) combined direct/indirect adaptive. An experimental benchmark composed of two mechanically coupled electrical DC motors has been employed to study the performance of the presented control architectures. The first motor acts as an actuator, while the second motor is used to generate nonlinearities and/or time-varying load. Results indicate that all tested controllers have good performance in overcoming changes of DC motor load.     

Increasing availability of industrial systems through data stream mining

Improving industrial product reliability, maintainability and thus availability is a challenging task for many industrial companies. In industry, there is a growing need to process data in real time, since the generated data volume exceeds the available storage capacity. This paper consists of a review of data stream mining and data stream management systems aimed at improving product availability. Further, a newly developed and validated grid-based classifier method is presented and compared to one-class support vector machine (OCSVM) and a polygon-based classifier.     

Feasibility analysis of hybrid control networks based on common industrial protocol

This paper reports a feasibility analysis of the use of a hybrid control network based on the Common Industrial Protocol (CIP). For this feasibility analysis, the message service time between DeviceNet and the wireless devices is investigated. The feasibility of hybrid control networks is analyzed using a mathematical analysis and experimental tests. The experimental results show the feasibility of the hybrid control networks in terms of the polling/COS service time and the average end-to-end delays.     

Identification of the unobservable behaviour of industrial automation systems by Petri nets

This paper addresses the problem of identifying the model of the unobservable behaviour of discrete event systems in the industrial automation sector. Assuming that the fault-free system structure and dynamics are known, the paper proposes an algorithm that monitors the system on-line, storing the occurred observable event sequence and the corresponding reached states. At each event observation, the algorithm checks whether some unobservable events have occurred on the basis of the knowledge of the Petri net (PN) modelling the nominal system behaviour and the knowledge of the current PN marking. By defining and solving some integer linear programming problems, the algorithm decides whether it is necessary to introduce some unobservable (silent) transitions in the PN model and provides a PN structure that is consistent with the observed event string. A case study describing an industrial automation system shows the efficiency and the applicability of the proposed algorithm.