灰色软测量在球磨机料位检测中的应用

A Study of the Use of Grey Soft Measurement in the Detection of Fill-up Level of Ball Mills

火力发电厂锅炉制粉系统的主要设备之一——球磨机的运行状况优劣在一定程度上决定了电厂的经济运行好坏,本文将非线性PLS回归方法与灰色一致相关联理论相结合用于球磨机料位的软测量,通过对球磨机筒内料位的监测来控制给煤机转速以使球磨机处于最佳运行工况,从而获得最小制粉单耗。工程应用结果表明,该软测量方法具有较高的估计精度,可满足实际需要,解决了由于安全保守运行而导致磨长期低负荷运行的不经济状况。

A ball mill is one of the main equipment items in the boiler milling systems of a thermal power plant. Its good working condition will decide to a certain extent the operating efficiency of a whole power plant. A nonlinear PLS regression method is combined with grey consistency correlation theory, which is then used for performing the soft measurement of the fill-up level of ball mills. Through the monitoring of the fill-up level inside a ball mill cylinder, the rotating speed of coal feeders can be controlled so as to make the ball mills operate in their optimum condition, thereby achieving a minimal unit power consumption in the coal pulverizing process. The results of engineering applications show that the soft measurement method has a relatively high assessment accuracy and can meet relevant practical requirements. As a result, it can solve the ball mill low efficiency problem related to its long-term low-load operations made necessary by a safe and conservative working mode.