数据校正技术在能源经营计量系统中的应用

基于矩阵分解方法对过程变量进行分类,提出了一种广泛适用的数据协调算法。总结了GT(global test)和GLR(generalized likelihood ratio)算法,提出了一种基于顺序补偿原理的多过失误差侦破算法,实现对复杂工艺流程中存在的多个过失误差进行高效定位和准确补偿。通过数据协调和过失误差侦破,成功地解决了能源经营计量网络中能源供求不平衡等问题,并且对仪表故障诊断提供了重要的指导意义。

Application of Data Reconciliation Technical in Resources Management System

A universal method of data reconciliation based on classifying all process variables by matrix decomposition is proposed. The global test(GT) and generalized likelihood ratio(GLR) algorithms are summarized and an algorithm for multiply gross error detection based on the sequence compensation principle is proposed.These methods above can successfully solve the unbalance of resource supply and demand,and give an important advice on failure instrument detection.