火电厂智能化远程管理云平台系统设计

为优化火力发电的生产,解决传统服务器在存储和挖掘大数据能力上的不足,该文采用云存储和云计算技术,将爆发式增长的火电机组生产数据存储在云端,通过对云端数据库的访问,搭建在线的火电厂远程管理平台,对生产数据进行远程监督和规范化存储。智能化云平台系统通过果蝇算法优化的广义回归神经网络(FOA-GRNN),设计一种锅炉热效率实时软测量模型。通过实验验证,云平台相比于传统服务器,在保证预测精度的前提下,有着更加高效的数据处理能力。

Design of intelligent remote management cloud platform system for thermal power plants

In order to optimize the production of thermal power generation,solve the shortcomings of traditional servers in the ability to store and mine big data,this paper uses cloud storage and cloud computing technology,the explosive growth of thermal power unit production data is stored in the cloud.Through the access to the cloud database,an on-line thermal power plant remote management platform is built to remotely monitor and standardize production data.The intelligent cloud platform system designs a real-time soft measurement model for boiler thermal efficiency through the generalized regression neural network optimized by fruit fly optimization algorithm.Through experiments,the cloud platform has more efficient data processing capability than the traditional server under the premise of ensuring prediction accuracy.