微型计算机在换热器控制系统中的应用

本文论述了微型计算机和可编程控制器（ＰＣ）控制换热器系统温度的硬件设计和控制方法。     

某铀矿井场抽注液控制的数字化技术应用

在地浸采铀生产过程中,控制抽注液平衡和高效识别抽注液异常状态是保障浸出效能和井场的安全重要措施。以内蒙古某铀矿为例,介绍了该铀矿抽注液平衡联动控制与抽注液异常监测方面数字化技术的应用情况,探讨了应用数字化技术前后该铀矿山抽注液管控效能的变化。结果表明,应用数字化技术进行抽注液平衡控制能有效解决抽注液调控过程中人工控制所存在的劳动强度大、调控不及时和精度不足的问题;合理的模型设计能够高效识别抽注液异常状态。建立抽注液数字化管控体系有助于实现精益化管控、提升井场生产效能、降低安全风险。     

全数字控制无变压器式单相光伏并网逆变器

研究了一种两级式非隔离式光伏并网方案,前级采用交错并联双Boost电路,后级使用半桥逆变器。分析了无变压器式逆变器的剩余电流问题及半桥逆变器抑制剩余电流的机制。给出了Boost电感和逆变电感关键参数的设计方法。给出了数字方法实现的两级电路复合控制策略及实现方法。重点分析并提出了单定时器交错并联驱动生成策略。试验验证了控制方法的有效性和可行性。     

振动监测与分析技术在核电站中的应用

从保障核全安、提高核电经济运行水平、解决重大技术问题和预测性维修等４个方面介绍了振动监测与分析技术在核电站中的应用,并通过实例说明了振动监测及分析技术在大亚湾核电站安全,稳定,经济运行中所起的重要作用。     

低速风洞应变天平通道极性判断方法

为提高低速风洞应变天平工作效率,提出一种直接单分量加载判断天平通道极性的方法。通过对单分量 加载结果进行估计,筛选不同通道极性组合时的天平计算结果。实验结果表明：该方法能快速、有效地判断天平通 道极性,并且不依靠经验,支持自动化程序化运行;对加载精度要求较低,容易满足实用要求。     

天生桥一级水电站施工总布置研究

天生桥一级水电站采用合同管理方式建设，主体工程划分为四个土建及金属结构安装合同和一个厂房永久机电设备安装工程合同，为满足合同管理的要求，进行了场内外交通运输设计、施工场地划分、公用施工临时设施和专用施工临时设施的划分、土石方平衡规划等设计工作，潢足了工程建设的需要     

高压条件下密封环变形的控制

分析了高压条件下机械密封端面的变形情况及其对密封性能的影响,提出了密封环的压力变形机理和解决措施以及实际设计中的注意事项,列举了部分成功应用的实例。     

Specific heat of the antiferro/ferro-magnet NpGa3

The specific heat of NpGa₃ has been measured for the first time. The magnetic transitions and more generally the full magnetic phase diagram have been re-established precisely. The Sommerfeld coefficient and the magnetic entropy point to a rather localized system, in agreement with previous studies, in particular high pressure Mössbauer and resistivity. The comparison with other NpX₃ suggests that NpGa₃ is the most localized member of the series.     

Studies on the heating capacity control of a multi-type heat pump system applying a multi-input multi-output (MIMO) method

This paper describes a method to control capacity of a multi-type heat pump system. Because indoor units are interconnected, alteration of the heating or cooling setting of one indoor unit can influence the performance of the other indoor units. Proportional-integral (PI) controllers were used to assess system performance, and the PI controllers’ gain values were optimized by using a genetic algorithm. A system model was established following a system identification optimization process, and a pseudo random binary sequence was selected as the system identification input signal. A multi-input multi-output (MIMO) controller was more effective in reducing such cross-coupling effects than a single-input single-output (SISO) controller. The temperature at the secondary fluid outlet in the condenser and the saturation pressure at the evaporator were selected as the control variables in the MIMO controller. The experimental results showed that an optimized MIMO controller could reduce overshoot by up to 40% compared with the results using a SISO controller.