摘要
现代工业控制领域和能源行业往往需要气象数据的支持,这些数据不仅包括实时采集的气象数据,而且包含了未来一段时间内的气象预测数据.提出一种基于OMAP-L138的ARM+DSP芯片并使用自适应线性逻辑网络(ALN)算法来实现具有预测功能的气象站系统.该系统可以通过三个月以上的历史数据训练出预测模型,并使用当前采集的气象数据作为预测模型的输入即可预测得到未来一段时间内的预测数据.
Meteorological data is now used widely in modem industrial controlling and energy area. These data conclu- des not only real-time data, but also includes prediction meteorology data. In this paper, a new kind of intelligent weather station forecasting system based on OMAP-L138 ARM and DSP is presented. This system uses ALN algorithm to realize its prediction function. Through this system, prediction models can be trained by historical data of more than three months, and forecasting results can be obtained by entering real-time meteorological data into the trained models.
出处
《计算机系统应用》
2013年第4期55-59,共5页
Computer Systems & Applications
基金
中国华电集团科技项目(CHFKJ12-01-22)
