基于ARM的复杂零件几何量检测仪的研制

随着现代机械制造业的不断发展以及零件加工质量要求的不断提高,对检测仪器的功能和检测精度提出了更高的要求,自动化、智能化、高精度已成为检测仪器发展的主要趋势。基于ARM的复杂零件几何量检测仪采用了非接触式检测技术,能对复杂零件的几何量误差自动进行数据采集、分析处理和显示结果,具有检测速度快、精度高、抗干扰能力强、成本低廉等特点,使其能在行业中得到很好的推广和应用。     

双馈风电机组静止坐标系下阻抗建模及次同步谐振抑制策略

为清楚分析双馈风力串补系统次同步谐振发生机理,建立了双馈风电机组静止坐标系下的阻抗模型。首先,将双馈风电机组同步旋转坐标系下阻抗模型转换为复矢量形式,通过频率变换得到其在两相静止坐标系下的频域阻抗模型。基于阻抗模型所代表的物理意义,采用等效RLC串联电路,分析了控制器参数及电网参数对并网系统等效阻抗及谐振频率的影响。分别从增大次同步频段阻尼和降低系统发生次同步谐振频率的角度出发,在转子侧控制器中同时引入了附加阻尼和虚拟感抗控制,分析表明该方法能有效地抑制次同步谐振。最后,通过仿真验证了所建模型及理论分析的正确性。     

新型数控锥齿轮滚动检查机闭环位置控制系统设计

研究一种基于伺服闭环位置控制的新型数控锥齿轮滚动检查机,介绍系统设计的思想及实现方法。实验表明该系统具有稳定性强及位置控制精度高的优点,是国内传统的数控检查机的一次技术突破。     

基于变分隐式曲面的三角网格孔洞修补

针对三角网格模型存在的孔洞问题提出一种基于变分隐式曲面的孔洞修补算法。首先，利用孔洞边界信息构造插值孔洞边界的变分隐式曲面并将其网格化，得到初始孔洞网格，再利用边界点裁剪初始孔洞网格，最后把裁剪后的孔洞网格与初始网格拓扑合并，完成孔洞修补。算法充分考虑了孔洞周围的信息，使得孔洞网格与原始网格光滑连接，取得了比较好的效果。     

现代仪器分析技术在炭材料研究中的应用

着重就热分析法、红外光谱分析和激光Raman光谱法研究炭材料的反应机理、催化剂的催化性能、炭材料的结构及性质等方面的应用情况作了综述。     

求解约束优化问题的改进自适应mu约束处理技术

针对当前的约束处理技术存在易陷入局部最优解、难以满足等式约束和多控制参数的问题,在mu约束处理技术的基础上,以梯度下降法和多目标拥挤距离为理论依据,设计反映种群约束违反度分布信息的omega参数,它可以自适应地调节约束违反度阈值mu的松弛进而有效地解决约束问题.此外,改进了mu阈值比较准则以提高种群的多样性.经对CEC2017的标准约束优化问题(Constraint optimization problems,COP)进行求解,并与其他先进算法相比较,结果表明,改进的mu约束处理技术能够高效地处理含等式约束的COP.     

Infrared Radiance Simulation and Application under Cloudy Sky Conditions Based on HIRTM

An algorithm based on hyperspectral infrared cloudy radiative transfer model (HIRTM) is introduced and a simulation method for infrared image of the generation geostationary meteorological satellite is proposed. Based on the parameters from weather research and forecast (WRF), such as the water content, atmospheric temperature, and humidity profile, the simulation data for the advanced Himawari imager (AHI) infrared radiative (IR) channels of Himawari-8 are obtained. Simulated results based on HIRTM agree well with the observed data. Further, the movement, development, and change of the cloud are well predicated. And the simulation of IR cloud image for the weather forecast has been obtained. This paper provides an improved method for evaluation and improvement of regional numerical model for weather forecast.     

基于AI和O-RAN架构的5G网络容量自适应算法

移动运营商目前正面临流量爆发式增长和增量不增收的双重困境,需求、投资和效能三者处于不均衡状态。5G的到来为网络能力与用户需求的匹配提供了新的解决方案,O-RAN新架构可以有效引入近年来人工智能领域的各项研究成果,在有限的资源下更好地为用户提供服务。基于AI大数据技术对基站容量空时特征分析形成的精准预测,可以指导网络建设、优化和维护资源的投放、形成容量自适应的弹性网络,使得网络能力和用户需求紧密耦合,达到提高资源配置精准性和提升网络资源利用率的目标。     

Janus‐Structured Co‐Ti3C2 MXene Quantum Dots as a Schottky Catalyst for High‐Performance Photoelectrochemical Water Oxidation

MXene materials have attracted increasing attention in electrochemical energy‐storage applications while MXene also becomes photo‐active at the quantum dot scale, making it an alternative for solar‐energy‐conversion devices. A Janus‐structured cobalt‐nanoparticle‐coupled Ti₃C₂ MXene quantum dot (Co‐MQD) Schottky catalyst with tunable cobalt‐loading content serving as a photoelectrochemical water oxidation photoanode is demonstrated. The introduction of cobalt triggers concomitant surface‐plasmon effects and acts as a water oxidation center, enabling visible‐light harvesting capability and improving surface reaction kinetics. Most importantly, due to the rectifying effects of Co‐MQD Schottky junctions, photogenerated carrier separation/injection efficiency can be fundamentally facilitated. Specifically, Co‐MQD‐48 exhibits both superior photoelectrocatalysis (2.99 mA cm^?2 at 1.23 V vs RHE) and charge migration performance (87.56%), which corresponds to 194% and 236% improvement compared with MQD. Furthermore, excellent photostability can be achieved with less than 6.6% loss for 10 h cycling reaction. This fills in gaps in MXene material research in photoelectrocatalysis and allows for the extension of MXene into optical‐related fields.