An artificial intelligence technique was applied to the optimization of flux adding systems and air blasting systems, the display of on line parameters, forecasting of mass and compositions of slag in the slagging per...An artificial intelligence technique was applied to the optimization of flux adding systems and air blasting systems, the display of on line parameters, forecasting of mass and compositions of slag in the slagging period, optimization of cold material adding systems and air blasting systems, the display of on line parameters, and the forecasting of copper mass in the copper blow period in copper smelting converters. They were integrated to build the Intelligent Decision Support System of the Operation Optimization of Copper Smelting Converter(IDSSOOCSC), which is self learning and self adaptating. Development steps, monoblock structure and basic functions of the IDSSOOCSC were introduced. After it was applied in a copper smelting converter, every production quota was clearly improved after IDSSOOCSC had been run for 4 months. Blister copper productivity is increased by 6%, processing load of cold input is increased by 8% and average converter life span is improved from 213 to 235 furnace times.展开更多
针对密集读写器环境下的 RFID 读写器冲突情况,提出了一种通过中央计算机集中控制读写器分时操作来避免读写器冲突的方法,并设计了基于退火策略的混沌神经网络算法进行读写器时隙分配的求解。首先,根据平面图着色问题与读写器防冲突问...针对密集读写器环境下的 RFID 读写器冲突情况,提出了一种通过中央计算机集中控制读写器分时操作来避免读写器冲突的方法,并设计了基于退火策略的混沌神经网络算法进行读写器时隙分配的求解。首先,根据平面图着色问题与读写器防冲突问题的相似性,确定四时隙分时操作的防冲突原理;然后采用二维 Hopfield 神经网络建立四时隙分配问题模型,并构造了满足冲突约束条件的神经网络能量函数;最后,通过引入混沌机制和模拟退火策略进行问题求解以使得算法具有较好的搜索能力和收敛速度。与现有的分布式防冲突算法相比,该方法能够保证读写器具有更多的扫描标签时间和更高的标签扫描频度。仿真实验结果表明用该算法求解读写器防冲突问题是可靠的、高效的。展开更多
文摘An artificial intelligence technique was applied to the optimization of flux adding systems and air blasting systems, the display of on line parameters, forecasting of mass and compositions of slag in the slagging period, optimization of cold material adding systems and air blasting systems, the display of on line parameters, and the forecasting of copper mass in the copper blow period in copper smelting converters. They were integrated to build the Intelligent Decision Support System of the Operation Optimization of Copper Smelting Converter(IDSSOOCSC), which is self learning and self adaptating. Development steps, monoblock structure and basic functions of the IDSSOOCSC were introduced. After it was applied in a copper smelting converter, every production quota was clearly improved after IDSSOOCSC had been run for 4 months. Blister copper productivity is increased by 6%, processing load of cold input is increased by 8% and average converter life span is improved from 213 to 235 furnace times.
文摘针对密集读写器环境下的 RFID 读写器冲突情况,提出了一种通过中央计算机集中控制读写器分时操作来避免读写器冲突的方法,并设计了基于退火策略的混沌神经网络算法进行读写器时隙分配的求解。首先,根据平面图着色问题与读写器防冲突问题的相似性,确定四时隙分时操作的防冲突原理;然后采用二维 Hopfield 神经网络建立四时隙分配问题模型,并构造了满足冲突约束条件的神经网络能量函数;最后,通过引入混沌机制和模拟退火策略进行问题求解以使得算法具有较好的搜索能力和收敛速度。与现有的分布式防冲突算法相比,该方法能够保证读写器具有更多的扫描标签时间和更高的标签扫描频度。仿真实验结果表明用该算法求解读写器防冲突问题是可靠的、高效的。
