模型预测控制技术在水泥制造中的应用

Application of Model Predictive Control Technology in Cement Manufacture

中材邦业(杭州)智能技术有限公司与天津水泥工业设计研究院有限公司联合开发ICE智能优化控制平台,该平台采用以模型预测控制为核心的先进控制技术,以及神经网络为核心的复杂过程建模技术,通过采集DCS系统的实时生产数据,并结合化验室的质量数据,实现水泥生产工艺中关键生产环节的过程优化控制,达到安全、稳定、最优化的自动控制效果。该平台可提高产量,降低能耗,保证产品质量,满足环保要求,最大程度地提高水泥生产企业的经济效益。

Sinoma Bangye(Hangzhou) Intelligent Technology Co., Ltd. and Tianjin Cement Industry Design and Research Institute Co., Ltd. jointly developed ICE Intelligent Optimum Control Platform. The platform adopted advanced control technology with model predictive control as the core, and complicated processes modeling technology with neural network, by collecting real-time production data of DCS system and combining quality data of laboratory, to realize the process optimal control of key manufacturing links in cement production process, and to achieve automatic control effects with safety,stability and optimization. This could improve output, reduce energy consumption, guarantee product quality, meet environmental protection requirements, and maximize the economic benefits of cement production enterprises.