含多端口能量路由器的多能互补系统故障保护功能测试研究

针对某区域用电负荷存在严重的季节性过载现象,以及可再生能源存在功率波动大、稳定性较差的问题,研制了多能(含水电、光伏、储能)、多端口的能量路由器装置及其能量管理系统.综合考虑当地多场景运行,解决了季节性过载问题,实现了能量的合理配置与利用.首先,对比分析选定能量路由器各端口变换器的拓扑结构;然后,对多场景下的工作模式进行介绍;最后,对含能量路由器的多能互补系统进行故障保护功能测试.测试结果表明,该系统具有较好的故障保护功能,有效实现了不同场景下的工作模式切换,直流母线电压稳定以及上层功率指令跟踪等功能,解决了当地用电负荷季节性过载和可再生能源功率波动较大的问题.     

Effect of sulfate on Cu(Ⅱ) sorption to polymer-supported nano-hydrated ferric oxides: Experimental and modeling studies

Incorporating of hydrous ferric oxide(HFO) inside porous supports with large sizes has become an effective way to decontaminate the water from heavy metals. Ubiquitous anions like sulfate are usually present in high concentrations in water, and might greatly affect adsorption behavior of hybrid HFO. Here, a polymer-based HFO-CPS was fabricated by encapsulating nano-HFO inside a chloromethylated polystyrene polymer(CPS) and the reactivity of HFO-CPS with Cu(Ⅱ) was evaluated in the presence of sulfate ions.Surface complexation theory was firstly employed to describe the effect of sulfate on Cu(Ⅱ) adsorption edges of hybrid HFO-CPS, where constant capacitance model(CCM) was adopted. The available weak adsorption site Fe_((2))OH of hybrid HFO-CPS was found to decrease from 20% Fe to 5% Fe, which might be caused by the pore plugging effect after HFO encapsulation. With the assumption that a ternary complex was formed, the effect of sulfate on Cu(Ⅱ) adsorption by HFO-CPS were successfully described by CCM using the optimized Fe_((2))OH site under different sulfate concentrations(1 or 10 mmol·L~(-1)) and Cu/Fe ratios(0.0042 or 0.0252). It is confirmed that the formation of Fe OHCu SO_4 ternary surface complexes played an important role in enhancing Cu(Ⅱ) adsorption on HFO-CPS in the presence of sulfate.     

基于SARIMA SVM混合时序的吊弦故障强度预测方法

针对高速铁路接触网设备故障强度预测问题,以吊弦为例提出一种基于季节性自回归移动平均模型(SARI-MA)-支持向量机(SVM)混合时序的吊弦故障强度预测方法.采用SARIMA对吊弦故障时间序列进行线性建模,并利用SVM对SARIMA预测残差进行非线性建模,实现组合预测.结果 表明,混合时序对故障强度的预测精度好于单一预测模型,为吊弦及其他接触网设备故障强度预测提供了一种有效可行的方法.     

基于多端口能量路由器的多能互补系统研究与测试

针对旅游旺季期间某地区负荷出现较严重的过载现象,且当地可再生能源存在功率波动较大、难以消纳的问题,依托云南省某配电网智能化改造升级示范项目,研制了一套多能(含小水电、光伏、储能)、多端口的能量路由器装置及其能量管理系统,并对基于多端口能量路由器的多能互补系统进行了研究与测试.首先对多端口能量路由器的拓扑结构和技术参数进行了介绍;其次对能量管理系统的功能进行了阐述;最后在对各端口分别进行调试后,进行全端口联合运行功能测试.测试结果表明,各端口能分别正常运行,全端口联合运行功能正常,能有效平抑直流母线电压波动,实现上层功率指令跟踪,同时在大功率运行状态下,输出波形畸变率较低,效率基本满足要求,能用于解决当地负荷过载问题,实现能量的合理配置与利用.     

不同复合沉积方式制备导电海绵的研究

分别采用化学镀及电镀的方法在聚氨酯海绵表面沉积镍基纳米埃洛石管(Al4[Si4O10](OH)8)复合镀层,研究了2种沉积方式所得导电海绵的阻燃及电磁屏蔽性能.扫描电镜观察表明电沉积样品表面镀层致密,严密包覆聚氨酯基体.锥形量热仪、四探针电导率仪和矢量网络分析仪的表征结果表明,电沉积镍基纳米埃洛石管复合镀层导电海绵具有良好的导电性及阻燃性,在5～9 GHz中高频段内具备优良的电磁屏蔽效能.     

基于改进SSD的变压器套管红外图像油位智能识别方法

为解决现有基于红外图像识别变压器套管油位存在的过于依赖温度信息、人工处理效率低下等问题,文中结合目标检测技术提出了一种基于改进单次检测器(SSD)的套管智能油位识别方法。通过引入SSD目标检测方法,检测红外图像中的套管区域,加入损失函数以改进SSD算法从而提高套管检测准确率,并进一步通过简单线性迭代聚类(SLIC)的应用实现了不依赖红外图像温度信息的油位检测。对比文中提出的基于红外图像的油位识别算法检测结果与人工油位检测结果,表明文中提出的算法不仅在效率上领先于传统的温度检测方式,且其误差较小,仅为0.08%。对比结果验证了所提算法在保证检测精度的情况下可大幅度提高检测效率,有效提升套管故障诊断效率和智能化水平。     

PAN/FPU Composite Nanofiber Membrane with Superhydrophobic and Superoleophobic Surface as a Filter Element for High-Efficiency Protective Masks

Recently, because of the outbreak of COVID-19, the demand for various types of filter elements in protective materials has increased globally. Furthermore, new requirements for the filtration performance of PM2.5 liquid (oil) particles have been put forward. In this work, Superhydrophobic and superoleophobic composite nanofibers with excellent filtration capacity for oil and salt particles are developed through the modification of polyacrylonitrile (PAN) by fluoro-polyurethane (FPU) doping. The results show that the PAN/FPU composite nanofibers doped with 9 wt% FPU has a uniform fiber morphology with a diameter of 240 ± 30 nm. Compared to the pure PAN nanofibers, the water-based contact angle of PAN/FPU increases from 90 ± 5° to 151 ± 5°, and the oil-based contact angle increases from 58 ± 2° to 152 ± 3°. Importantly, at a high flow rate of 95 L min⁻¹, the filtration efficiency of the PAN/FPU nanofiber membrane for 0.3 µm oil particles increases from 92 ± 1% to 99.2 ± 0.1%. After cyclic loading, the filtration efficiency of 0.3 µm oil particles remains above 98%. Meanwhile, the filtration efficiency for 0.3 µm salt particles remains at 98.23 ± 0.1%. The PAN/FPU nanofiber membrane developed in this work is effective in applications and has good market prospects as a protective filtration material.     

改性环氧树脂在立磨主减速机基础修复的应用

某公司一条60万t/年矿渣微粉生产线,使用的是其他公司出售的二手立磨设备,经过异地拆卸、分解运输至新生产线进行组装和调试。经过3个月左右的使用,立磨主减速机出现了较大幅度的周期性摆动（无需仪器检测,肉眼可见摆动幅度）,基础钢底板周期性弹动。     

Co-colouration Effects in the Systems of Metal(Ⅱ)-Rare Earth(Ⅲ)-Xanthene Dye and Their Influences on Photometric Determination of Metal Ions

After comparing the influences of each rare earth(Ⅲ),11 species of metal(Ⅱ)and 8 species of acidictriphenylmethane dye on the formation of coloured coordination compound in the system of Metal(Ⅱ)-RE(Ⅲ)-Dye,it was proven that the co-colouration effect can be caused only by the xanthene dyes(XD)con-taining substituting hydroxy.group on the ortho-position of etheric oxygen group.Besides,the radius of met-al(Ⅱ)must not be smaller than a definite limit;otherwise,no co-colouration appears.Furthermore,the acid-ity of medium is another important factor to affect co-colouration,Bromopyrogallol red causesco-colouration of Pb(Ⅱ)-RE(Ⅲ)only,owing to its higher chromophoric acidity;while alizarin violet causesco-colouration of M(Ⅱ)-RE(Ⅲ)(M=Pb,Ca,Sr and Ba),due to its lower chromophoric acidity.The condi-tions causing co-colouration,the regularities of co-colouration and the influences of co-colouration inphotometric determination of metals were discussed.     

The improvement of thermal error modeling and compensation on machine tools by CMAC neural network

In this paper, a cerebellar model articulation controller (CMAC) neural network is proposed for thermal error modeling in machine tools. The CMAC is a systematic learning algorithm which can search for the nonlinear and interaction characteristics between the thermal errors and temperature field on the machine tools. The CMAC is investigated in terms of accuracy in prediction, robustness to sensor placement, speed of learning, and tolerance to sensor failures. Experimental measurements of the spindle drift errors for both a horizontal machining center and a CNC turning center were performed using capacitance sensors and thermal sensors. Results show that the CMAC model has better performance than other modeling methods in robustness to sensor placement and speed of learning. This makes determination of the sensor locations easier, and reduces calibration time. In addition, a sensor failure detection algorithm is developed to provide better reliability.