摘要
针对热工数据类型多 ,多数数据非线性强 ,相关图表查阅不便且读数误差大的现状 ,本文提出利用计算机强大的数据存储处理能力建立热工数据库系统 ,实现热工数据的快速准确查询 ,并介绍了热工数据库管理系统的功能特点及设计开发技术。将数据插值、神经网络等函数逼近的方法应用于查询程序的定制 ,大大加强了系统的查询功能 ,使系统的查询范围不仅仅局限于数据库中已有的数据记录。本文以饱和水及饱和蒸汽热力性质数据库为例 ,说明了系统查询功能的实现方法与效果。应用结果表明 ,热工数据库管理系统查询热工数据 ,速度快、精度高 ,不受人为因素影响 ,具有较大的实用价值。
In thermodynamics,there are many types of data,most of which are nonlinear.Querying data information form figures or tables is neither convenient nor accurate.To query accurately and rapidly,it is suggested in this paper to build a thermodynamic database system by utilizing the computer's potent ability to storage and process data.This paper introduces the characteristic of the functions and the design technology of the database system.The methods of function approach such as data interpolation and neural network are used to customize program for query,which improve the ability of query of system so much that it can query more than the data records in database.Taking example for the database for thermodynamic property of saturated liquid and saturated steam,this paper also introduce the way to realize the query and its result.Result in application shows that the thermodynamic database system is of high applied value,by using it thermodynamic data can be gotten rapidly with higher precision which is free from artificial influence.
出处
《冶金能源》
北大核心
2004年第1期27-31,共5页
Energy For Metallurgical Industry
基金
教育部科技研究重点项目 (0 2 14 6 )
湖南省自然科学基金(0 1JJY2 110 )
关键词
热工数据
数据库
热力性质
函数逼近
数据插值
神经网络
thermodynamic data database thermodynamic property function approach data interpolation neural network