Honeywell 900A16-0101 HLAI 16 Channel

Emphasis was placed on studying the working mode, architecture, system components, software architecture, process data representation in real-time databases, PHD real-time database compression technology, interface methods, network design and interface implementation of the PHD system for Gaoqiao Petrochemical. The development of specific applications of PHD real-time databases and Oracle relational databases using the MVC mode of ASP. NET technology was also explored, as well as process monitoring for enterprises Corresponding explanations have been made on the trend analysis of key performance indicators, monitoring of process indicators, monitoring of control indicators, analysis of energy consumption per unit benefit, and generation of production data reports. Finally, the shortcomings and development prospects of the PHD database were discussed. 1.4 Structure of the Paper This article is divided into four chapters, which discuss in detail the current situation of informatization in petrochemical enterprises, the application of process data in distributed systems, the application of PHD real-time database in Gaoqiao Petrochemical Polyurethane Division, and the development of online production real-time system. The shortcomings and prospects of PHD real-time database are analyzed. This chapter starts with analyzing the current informationization status of chemical enterprises, analyzes the problems and shortcomings of informationization in chemical enterprises, introduces an enterprise level data platform PHD real-time database, and briefly introduces the practical significance of PHD real-time database. Chapter 2 discusses the communication methods of process data, the important role of real-time databases in the informatization of chemical enterprises, the application of real-time databases in distributed control systems, the comparison and selection of different real-time databases, and a brief introduction to the composition, application, software structure, data flow, and data processing methods of PHD real-time databases