灰色模型在某高校污水量预测中的应用

Application of grey model (1,1) for prediction of sewage quantity in a university

为实现污水处理设施的优化设计,科学的预测污水量至关重要,根据现有情况给出一种基于历史数据及随机影响因素依赖较小的GM模型,通过对灰色机理的探讨,利用已知固化数据建立灰色污水量预测模型,以D高校历史污水量数据为基础对未来污水量进行预测,经检验该模型为高精度模型,该预测方法适用于D高校污水量预测,能够为该高校中水回用工程提供污水量有效数据支持。

The scientific prediction of sewage quantity is quite important for achieving the design optimization of sewerage. A grey model （GM） can be achieved based on the historical data, which is less dependent on the ran- dom influence factors. According to the well-known data as well as the exploration of grey rationale, the grey pre- diction model of sewage quantity can be developed and subsequently used for sewage quantity prediction after cal- ibration using the historical data of sewage quantity in D University. It has been verified that this GM is a high- precision model and applicable for the sewage quantity prediction of D University, which can provide solid data supporting for the project of wastewater reclamation in D University.