盐湖化工自动化采卤决策支持系统研究

Research on Decision Support System for Automatic Mining of Saline Lake Chemical

摘要:

在分析了采卤系统卤水采集现状和井采生产实际需求的基础上，为解决信息获取不足、决策方案制定缺乏科学性等问题，本文应用云计算、智能决策支持系统等理论设计了盐湖化工自动化采卤决策支持系统，并从系统的需求分析、功能结构设计、体系架构构建、数据库设计等方面进行了描述，阐述了系统的应用情况。该系统的构建提高了采卤系统生产自动化管理水平，实现了盐湖井采自动化安全生产，并为工作人员提供了科学准确的分析和决策支持。

Abstract:

Based on the analysis of brine collection status and actual production demand, to solve the lack of obtaining information and scientific decision-programming and other issues, the article designs Decision Support System for Automatic Mining of Saline Lake Chemical through cloud computing and intelligent decision support systems theory; describes the system from the system requirements analysis, functional design, system construction, database design and other aspects; explains the application of the system. Construction of the system improves production automation management level, achieves salt lake underground mining automation safe production, and provides scientific and accurate analysis and decision support for staff.