基于分源预测法的瓦斯涌出量预测共享平台的构建

Construction of Sharing Platform for the Gas Emission Rate Prediction Based on Source Prediction

为了能方便快捷、实时准确地对矿井瓦斯涌出量进行预测,以分源预测法为基础,利用数据库技术将瓦斯涌出量预测所涉及的数据划分为瓦斯基础参数实体、瓦斯源实体、瓦斯涌出量实体,将测点信息、影响瓦斯涌出量的工艺参数、瓦斯涌出量等分别抽象为实体的属性,并利用MYSQL Workbench数据库建模工具构建瓦斯涌出量预测相关实体的EER(强化的实体关系)图;以采区为矿井瓦斯涌出量预测算法的基本单元,将矿井瓦斯涌出量预测算法过程划分为采区、回采工作面、掘进工作面、邻近层等4个循环体,将每一个瓦斯源瓦斯涌出量预测设计为函数,从而构建基于B/S(浏览器/服务器)模式的预测准确和易于扩展的瓦斯涌出量预测共享平台。

In order to make the prediction of gas emission in real time and quickly,by using database and based on source prediction method,the data involved in the prediction of gas emission was divided into entity of gas fundamental parameters,entity of gas source and entity of gas emission,the station information,technical parameters influencing gas emission,and gas emission was abstracted as its entity property respectively.The EER(enhanced entity-relationship)diagram of the related entity in prediction of gas emission was built by the database modeling tool of MYSQL Workbench.District was set as the basic element for the algorithm of gas emission prediction and the algorithm was divided into four main loops:mining area,working face,tunneling face and adjacent layers.The prediction of every gas source was designed in the form of function.An accurate and expandable sharing platform was constructed based on B/S(browser/sever)model for the prediction of gas emission.